mcp-confluent

mcp-confluent

MCP server for managing Confluent Cloud resources via natural language.

View on GitHub
115
Stars
36
Forks
115
Watchers
9
Issues
mcp-confluent is a Model Context Protocol (MCP) server implementation designed to enable natural language interaction with Confluent Cloud REST APIs. It integrates with AI tools such as Claude Desktop and Goose CLI, allowing users to manage Kafka topics, connectors, and Flink SQL statements conversationally. The project offers flexible configuration, CLI usage, and supports various transports for secure and customizable operations.

Key Features

Implements Model Context Protocol (MCP) server
Enables natural language interactions with Confluent Cloud
Supports management of Kafka topics and connectors
Flink SQL statement execution and management
Integration with Claude Desktop, Goose CLI, and Gemini CLI
Customizable configuration via .env file
Command-line interface (CLI) for direct interaction
Tool whitelisting and blacklisting for controlled access
Docker and Docker Compose support for deployment
Comprehensive environment variable reference for setup

Use Cases

Conversational management of Kafka topics in Confluent Cloud
Using AI assistants to execute and monitor Flink SQL jobs
Automating Kafka connector deployment via natural language commands
Collaborative cloud resource management through desktop or CLI tools
Securing resource access with tool-specific controls
Enabling rapid prototyping for cloud workflow automation
Centralized cloud infrastructure configuration for data teams
Streamlining integration of third-party AI assistants with cloud platforms
Automated testing and inspection of cloud automation workflows
Customized deployment of MCP servers for enterprise cloud operations

README

mcp-confluent

An MCP server implementation that enables AI assistants to interact with Confluent Cloud REST APIs. This server allows AI tools like Claude Desktop and Goose CLI to manage Kafka topics, connectors, and Flink SQL statements through natural language interactions.

Ask DeepWiki

Demo

Goose CLI

Goose CLI Demo

Claude Desktop

Claude Desktop Demo

Table of Contents

User Guide

Getting Started

  1. Create a .env file: Copy the example .env file structure (shown below) into a new file named .env in the root of your project.

  2. Populate the .env file: Fill in the necessary values for your Confluent Cloud environment. See the Configuration section for details on each variable.

  3. Install Node.js (if not already installed)

    • We recommend using NVM (Node Version Manager) to manage Node.js versions
    • Install and use Node.js:
    bash
    nvm install 22
nvm use 22

Configuration

Create a .env file in the root directory of your project with the following configuration:

properties
# .env file
BOOTSTRAP_SERVERS="pkc-v12gj.us-east4.gcp.confluent.cloud:9092"
KAFKA_API_KEY="..."
KAFKA_API_SECRET="..."
KAFKA_REST_ENDPOINT="https://pkc-v12gj.us-east4.gcp.confluent.cloud:443"
KAFKA_CLUSTER_ID=""
KAFKA_ENV_ID="env-..."
FLINK_ENV_ID="env-..."
FLINK_ORG_ID=""
FLINK_REST_ENDPOINT="https://flink.us-east4.gcp.confluent.cloud"
FLINK_ENV_NAME=""
FLINK_DATABASE_NAME=""
FLINK_API_KEY=""
FLINK_API_SECRET=""
FLINK_COMPUTE_POOL_ID="lfcp-..."
TABLEFLOW_API_KEY=""
TABLEFLOW_API_SECRET=""
CONFLUENT_CLOUD_API_KEY=""
CONFLUENT_CLOUD_API_SECRET=""
CONFLUENT_CLOUD_REST_ENDPOINT="https://api.confluent.cloud"
SCHEMA_REGISTRY_API_KEY="..."
SCHEMA_REGISTRY_API_SECRET="..."
SCHEMA_REGISTRY_ENDPOINT="https://psrc-zv01y.northamerica-northeast2.gcp.confluent.cloud"

Prerequisites & Setup for Tableflow Commands

In order to leverage Tableflow commands to interact with your data ecosystem and successfully execute these Tableflow commands and manage resources (e.g., interacting with data storage like AWS S3 and metadata catalogs like AWS Glue), certain IAM (Identity and Access Management) permissions and configurations are essential.

It is crucial to set up the necessary roles and policies in your cloud environment (e.g., AWS) and link them correctly within Confluent Cloud. This ensures your Flink SQL cluster, which powers Tableflow, has the required authorization to perform operations on your behalf.

Please refer to the following Confluent Cloud documentation for detailed instructions on setting up these permissions and integrating with custom storage and Glue:

Ensuring these prerequisites are met will prevent authorization errors when the mcp-server attempts to provision or manage Tableflow-enabled tables.

Environment Variables Reference

Variable Description Default Value Required
HTTP_HOST Host to bind for HTTP transport. 0.0.0.0 means all interfaces. (string) "0.0.0.0" Yes
HTTP_MCP_ENDPOINT_PATH HTTP endpoint path for MCP transport (e.g., '/mcp') (string) "/mcp" Yes
HTTP_PORT Port to use for HTTP transport (number (min: 0)) 8080 Yes
LOG_LEVEL Log level for application logging (trace, debug, info, warn, error, fatal) (effects) "info" Yes
SSE_MCP_ENDPOINT_PATH SSE endpoint path for establishing SSE connections (e.g., '/sse', '/events') (string) "/sse" Yes
SSE_MCP_MESSAGE_ENDPOINT_PATH SSE message endpoint path for receiving messages (e.g., '/messages', '/events/messages') (string) "/messages" Yes
BOOTSTRAP_SERVERS List of Kafka broker addresses in the format host1:port1,host2:port2 used to establish initial connection to the Kafka cluster (string) No
CONFLUENT_CLOUD_API_KEY Master API key for Confluent Cloud platform administration, enabling management of resources across your organization (string (min: 1)) No
CONFLUENT_CLOUD_API_SECRET Master API secret paired with CONFLUENT_CLOUD_API_KEY for comprehensive Confluent Cloud platform administration (string (min: 1)) No
CONFLUENT_CLOUD_REST_ENDPOINT Base URL for Confluent Cloud's REST API services (default) No
FLINK_API_KEY Authentication key for accessing Confluent Cloud's Flink services, including compute pools and SQL statement management (string (min: 1)) No
FLINK_API_SECRET Secret token paired with FLINK_API_KEY for authenticated access to Confluent Cloud's Flink services (string (min: 1)) No
FLINK_COMPUTE_POOL_ID Unique identifier for the Flink compute pool, must start with 'lfcp-' prefix (string) No
FLINK_DATABASE_NAME Name of the associated Kafka cluster used as a database reference in Flink SQL operations (string (min: 1)) No
FLINK_ENV_ID Unique identifier for the Flink environment, must start with 'env-' prefix (string) No
FLINK_ENV_NAME Human-readable name for the Flink environment used for identification and display purposes (string (min: 1)) No
FLINK_ORG_ID Organization identifier within Confluent Cloud for Flink resource management (string (min: 1)) No
FLINK_REST_ENDPOINT Base URL for Confluent Cloud's Flink REST API endpoints used for SQL statement and compute pool management (string) No
KAFKA_API_KEY Authentication credential (username) required to establish secure connection with the Kafka cluster (string (min: 1)) No
KAFKA_API_SECRET Authentication credential (password) paired with KAFKA_API_KEY for secure Kafka cluster access (string (min: 1)) No
KAFKA_CLUSTER_ID Unique identifier for the Kafka cluster within Confluent Cloud ecosystem (string (min: 1)) No
KAFKA_ENV_ID Environment identifier for Kafka cluster, must start with 'env-' prefix (string) No
KAFKA_REST_ENDPOINT REST API endpoint for Kafka cluster management and administration (string) No
SCHEMA_REGISTRY_API_KEY Authentication key for accessing Schema Registry services to manage and validate data schemas (string (min: 1)) No
SCHEMA_REGISTRY_API_SECRET Authentication secret paired with SCHEMA_REGISTRY_API_KEY for secure Schema Registry access (string (min: 1)) No
SCHEMA_REGISTRY_ENDPOINT URL endpoint for accessing Schema Registry services to manage data schemas (string) No
TABLEFLOW_API_KEY Authentication key for accessing Confluent Cloud's Tableflow services (string (min: 1)) No
TABLEFLOW_API_SECRET Authentication secret paired with TABLEFLOW_API_KEY for secure Tableflow access (string (min: 1)) No

Usage

This MCP server is designed to be used with various MCP clients, such as Claude Desktop or Goose CLI/Desktop. The specific configuration and interaction will depend on the client you are using. However, the general steps are:

  1. Start the Server: You can run the MCP server in one of two ways:

    • From source: Follow the instructions in the Developer Guide to build and run the server from source. This typically involves:

      • Installing dependencies (npm install)
      • Building the project (npm run build or npm run dev)

    • With npx: You can start the server directly using npx (no build required):

      bash
      npx -y @confluentinc/mcp-confluent -e /path/to/confluent-mcp-server/.env

  2. Configure your MCP Client: Each client will have its own way of specifying the MCP server's address and any required credentials. You'll need to configure your client (e.g., Claude, Goose) to connect to the address where this server is running (likely localhost with a specific port). The port the server runs on may be configured by an environment variable.

  3. Start the MCP Client: Once your client is configured to connect to the MCP server, you can start your mcp client and on startup - it will stand up an instance of this MCP server locally. This instance will be responsible for managing data schemas and interacting with Confluent Cloud on your behalf.

  4. Interact with Confluent through the Client: Once the client is connected, you can use the client's interface to interact with Confluent Cloud resources. The client will send requests to this MCP server, which will then interact with Confluent Cloud on your behalf.

Configuring Claude Desktop

See here for more details about installing Claude Desktop and MCP servers.

To configure Claude Desktop to use this MCP server:

  1. Open Claude Desktop Configuration

    • On Mac: ~/Library/Application\ Support/Claude/claude_desktop_config.json
    • On Windows: %APPDATA%\Claude\claude_desktop_config.json

  2. Edit Configuration File

    • Open the config file in your preferred text editor
    • Add or modify the configuration using one of the following methods:
    json
    {
  "mcpServers": {
    "confluent": {
      "command": "node",
      "args": [
        "/path/to/confluent-mcp-server/dist/index.js",
         "--env-file",
        "/path/to/confluent-mcp-server/.env"
      ]
    }
  }
}
    json
    {
  "mcpServers": {
    "confluent": {
      "command": "npx",
      "args": [
        "-y"
        "@confluentinc/mcp-confluent",
        "-e",
        "/path/to/confluent-mcp-server/.env"
      ]
    }
  }
}

    Replace /path/to/confluent-mcp-server/ with the actual path where you've installed this MCP server.

  3. Restart Claude Desktop

    • Close and reopen Claude Desktop for the changes to take effect
    • The MCP server will automatically start when Claude Desktop launches

Now Claude Desktop will be configured to use your local MCP server for Confluent interactions.

Claude Tools

Configuring Goose CLI

See here for detailed instructions on how to install the Goose CLI.

Once installed, follow these steps:

  1. Run the Configuration Command:

    bash
    goose configure

  2. Follow the Interactive Prompts:

    • Select Add extension
    • Choose Command-line Extension
    • Enter mcp-confluent as the extension name
    • Choose one of the following configuration methods:
    bash
    node /path/to/confluent-mcp-server/dist/index.js --env-file /path/to/confluent-mcp-server/.env
    bash
    npx -y @confluentinc/mcp-confluent -e /path/to/confluent-mcp-server/.env

Replace /path/to/confluent-mcp-server/ with the actual path where you've installed this MCP server.

Goose Configure

Configuring Gemini CLI

For detailed information about Gemini CLI extensions and MCP servers, please refer to the official documentation:

Here's how to get mcp-confluent running with Gemini CLI:

  1. Install Gemini CLI: If you haven't already, install the Gemini CLI. You can find installation instructions on the official GitHub repository.

  2. Install the mcp-confluent Extension:

    bash
    gemini extensions install https://github.com/confluentinc/mcp-confluent 
# Navigate to the root directory of this project (where `gemini-extension.json` is located) and run:
# gemini extensions install .

    This command registers the mcp-confluent server with Gemini CLI and creates a dedicated directory for it under ~/.gemini/extensions/mcp-confluent.

  3. Provide Environment Variables: The extension requires your Confluent Cloud credentials and configuration to be available in a .env file.

    • First, ensure you have a correctly populated .env file in the root of this project. For instructions, see the Configuration section.
    • Next, copy your .env file into the extension's directory so Gemini CLI can access it (the Gemini extension expects the .env file at ${extensionPath}${pathSeparator}.env; see the variables documentation for details):
    bash
    cp .env ~/.gemini/extensions/mcp-confluent/.env

  4. Verify and Use: You can now start using the Confluent tools via Gemini CLI. To verify that the tools are available, you can list them:

    bash
    gemini -l
# or `gemini extensions list`

    And here's an example of invoking a tool:

    bash
    
gemini
....

🟢 mcp-confluent (from mcp-confluent) - Ready (24 tools)
....

Using: 1 MCP server (ctrl+t to toggle)
╭───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ > list topics                                                                                                                                             │
╰───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯

╭────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ ✓  list-topics (mcp-confluent MCP Server) {}                                                                                                       │
│                                                                                                                                                    │
│    Kafka topics:                                                                                                                                   │
│    products_summarized,products,topic_8,products_summarized_with_embeddings,elastic_minimized,user_message_related_products,user_message_embeddin  │
│    gs,dlq-lcc-d3738o,user_message,elastic                                                                                          │
╰────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
✦ Okay, I see the following topics: products_summarized, products, topic_8, products_summarized_with_embeddings, elastic_minimized,
  user_message_related_products, user_message_embeddings, dlq-lcc-d3738o, user_message, and elastic.

mcp-confluent CLI Usage

The MCP server provides a flexible command line interface (CLI) for advanced configuration and control. The CLI allows you to specify environment files, transports, and fine-tune which tools are enabled or blocked.

Basic Usage

You can view all CLI options and help with:

bash
npx @confluentinc/mcp-confluent --help
bash
Usage: mcp-confluent [options]

Confluent MCP Server - Model Context Protocol implementation for Confluent Cloud

Options:
  -V, --version                    output the version number
  -e, --env-file <path>            Load environment variables from file
  -k, --kafka-config-file <file>   Path to a properties file for configuring kafka clients
  -t, --transport <types>          Transport types (comma-separated list) (choices: "http", "sse", "stdio", default: "stdio")
  --allow-tools <tools>            Comma-separated list of tool names to allow. If provided, takes precedence over --allow-tools-file. Allow-list is applied before block-list.
  --block-tools <tools>            Comma-separated list of tool names to block. If provided, takes precedence over --block-tools-file. Block-list is applied after allow-list.
  --allow-tools-file <file>        File with tool names to allow (one per line). Used only if --allow-tools is not provided. Allow-list is applied before block-list.
  --block-tools-file <file>        File with tool names to block (one per line). Used only if --block-tools is not provided. Block-list is applied after allow-list.
  --list-tools                     Print the final set of enabled tool names (with descriptions) after allow/block filtering and exit. Does not start the server.
  --disable-confluent-cloud-tools  Disable all tools that require Confluent Cloud REST APIs (cloud-only tools).
  -h, --help                       display help for command

Example: Deploy using all transports

bash
npx @confluentinc/mcp-confluent -e .env --transport http,sse,stdio
json
...
{"level":"info","time":"2025-05-14T17:03:02.883Z","pid":47959,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Starting transports: http, sse, stdio"}
{"level":"info","time":"2025-05-14T17:03:02.971Z","pid":47959,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"HTTP transport routes registered"}
{"level":"info","time":"2025-05-14T17:03:02.972Z","pid":47959,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"SSE transport routes registered"}
{"level":"info","time":"2025-05-14T17:03:02.972Z","pid":47959,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"STDIO transport connected"}
{"level":"info","time":"2025-05-14T17:03:03.012Z","pid":47959,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Server listening at http://[::1]:3000"}
{"level":"info","time":"2025-05-14T17:03:03.013Z","pid":47959,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Server listening at http://127.0.0.1:3000"}
{"level":"info","time":"2025-05-14T17:03:03.013Z","pid":47959,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"All transports started successfully"}

Example: Allow Only Specific Tools

bash
npx @confluentinc/mcp-confluent -e .env --allow-tools produce-message,consume-messages
json
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-topics disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-topics disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-topics disabled due to allow/block list rules"}
{"level":"info","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool produce-message enabled"}
{"level":"info","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool consume-messages enabled"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-flink-statements disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-flink-statement disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-flink-statement disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-flink-statements disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-connectors disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-connector disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-connector disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-connector disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool search-topics-by-tag disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool search-topics-by-name disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-topic-tags disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-tag disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool remove-tag-from-entity disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool add-tags-to-topic disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-tags disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool alter-topic-config disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-clusters disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-environments disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-environment disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-schemas disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool get-topic-config disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool create-tableflow-topic disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool list-tableflow-regions disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool list-tableflow-topics disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool read-tableflow-topic disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool update-tableflow-topic disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool delete-tableflow-topic disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool create-tableflow-catalog-integration disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool list-tableflow-catalog-integrations disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool read-tableflow-catalog-integration disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool update-tableflow-catalog-integration disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:52:34.923Z","pid":53394,"hostname":"YXR2D4NCM9","name":"mcp-confluent","msg":"Tool delete-tableflow-catalog-integration disabled due to allow/block list rules"}
{"level":"info","time":"2025-05-14T16:52:34.924Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Starting transports: stdio on localhost:3000"}
{"level":"info","time":"2025-05-14T16:52:34.924Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"STDIO transport connected"}
{"level":"info","time":"2025-05-14T16:52:34.924Z","pid":46818,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"All transports started successfully"}

Example: Block Certain Tools

bash
npx @confluentinc/mcp-confluent -e .env --block-tools produce-message,consume-messages
json
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-topics enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-topics enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-topics enabled"}
{"level":"warn","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool produce-message disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool consume-messages disabled due to allow/block list rules"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-flink-statements enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-flink-statement enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-flink-statement enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-flink-statements enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-connectors enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-connector enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-connector enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-connector enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool search-topics-by-tag enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool search-topics-by-name enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-topic-tags enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-tag enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool remove-tag-from-entity enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool add-tags-to-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-tags enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool alter-topic-config enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-clusters enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-environments enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-environment enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-schemas enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool get-topic-config enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-tableflow-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-tableflow-regions enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-tableflow-topics enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-tableflow-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool update-tableflow-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-tableflow-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-tableflow-catalog-integration enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-tableflow-catalog-integrations enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-tableflow-catalog-integration enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool update-tableflow-catalog-integration enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-tableflow-catalog-integration enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Starting transports: stdio"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"STDIO transport connected"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"All transports started successfully"}

Example: Use Tool Lists from Files

bash
npx -y @confluentinc/mcp-confluent -e .env --allow-tools-file allow.txt --block-tools-file block.txt
json
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-topics enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-topics enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-topics enabled"}
{"level":"warn","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool produce-message disabled due to allow/block list rules"}
{"level":"warn","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool consume-messages disabled due to allow/block list rules"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-flink-statements enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-flink-statement enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-flink-statement enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-flink-statements enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-connectors enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-connector enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-connector enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-connector enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool search-topics-by-tag enabled"}
{"level":"info","time":"2025-05-14T16:55:45.910Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool search-topics-by-name enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-topic-tags enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-tag enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool remove-tag-from-entity enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool add-tags-to-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-tags enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool alter-topic-config enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-clusters enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-environments enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-environment enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-schemas enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool get-topic-config enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-tableflow-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-tableflow-regions enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-tableflow-topics enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-tableflow-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool update-tableflow-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-tableflow-topic enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool create-tableflow-catalog-integration enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool list-tableflow-catalog-integrations enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool read-tableflow-catalog-integration enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool update-tableflow-catalog-integration enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Tool delete-tableflow-catalog-integration enabled"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"Starting transports: stdio"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"STDIO transport connected"}
{"level":"info","time":"2025-05-14T16:55:45.911Z","pid":47344,"hostname":"G9PW1FJH64","name":"mcp-confluent","msg":"All transports started successfully"}

Example: List All Available Tools

bash
npx -y @confluentinc/mcp-confluent --list-tools
text
add-tags-to-topic: Assign existing tags to Kafka topics in Confluent Cloud.
alter-topic-config: Alter topic configuration in Confluent Cloud.
consume-messages: Consumes messages from one or more Kafka topics. Supports automatic deserialization of Schema Registry encoded messag...
create-connector: Create a new connector. Returns the new connector information if successful.
create-flink-statement: Make a request to create a statement.
create-topic-tags: Create new tag definitions in Confluent Cloud.
create-topics: Create one or more Kafka topics.
delete-connector: Delete an existing connector. Returns success message if deletion was successful.
delete-flink-statements: Make a request to delete a statement.
delete-tag: Delete a tag definition from Confluent Cloud.
delete-topics: Delete the topic with the given names.
get-topic-config: Retrieve configuration details for a specific Kafka topic.
list-clusters: Get all clusters in the Confluent Cloud environment
list-connectors: Retrieve a list of "names" of the active connectors. You can then make a read request for a specific connector by name.
list-environments: Get all environments in Confluent Cloud with pagination support
list-flink-statements: Retrieve a sorted, filtered, paginated list of all statements.
list-schemas: List all schemas in the Schema Registry.
list-tags: Retrieve all tags with definitions from Confluent Cloud Schema Registry.
list-topics: List all topics in the Kafka cluster.
produce-message: Produce records to a Kafka topic. Supports Confluent Schema Registry serialization (AVRO, JSON, PROTOBUF) for both ke...
read-connector: Get information about the connector.
read-environment: Get details of a specific environment by ID
read-flink-statement: Make a request to read a statement and its results
remove-tag-from-entity: Remove tag from an entity in Confluent Cloud.
search-topics-by-name: List all topics in the Kafka cluster matching the specified name.
search-topics-by-tag: List all topics in the Kafka cluster with the specified tag.
create-tableflow-topic: Make a request to create a tableflow topic.
create-tableflow-topic: Make a request to create a tableflow topic.
list-tableflow-regions: Retrieve a sorted, filtered, paginated list of all tableflow regions.
list-tableflow-topics: Retrieve a sorted, filtered, paginated list of all tableflow topics.
read-tableflow-topic: Make a request to read a tableflow topic.
update-tableflow-topic: Make a request to update a tableflow topic.
delete-tableflow-topic: Make a request to delete a tableflow topic.
create-tableflow-catalog-integration: Make a request to create a catalog integration.
list-tableflow-catalog-integrations: Retrieve a sorted, filtered, paginated list of all catalog integrations.
read-tableflow-catalog-integration: Make a request to read a catalog integration.
update-tableflow-catalog-integration: Make a request to update a catalog integration.
delete-tableflow-catalog-integration: Make a request to delete a tableflow catalog integration.

Tip: The allow-list is applied before the block-list. If neither is provided, all tools are enabled by default.

Developer Guide

Project Structure

sh
/
├── src/                 # Source code
│   ├── confluent/       # Confluent integration (API clients, etc.)
│   │   └── tools/           # Tool implementations
│   ├── mcp/             # MCP protocol and transport logic
│   │   └── transports/
│   └── ...              # Other server logic, utilities, etc.
├── dist/                # Compiled output
├── openapi.json         # OpenAPI specification for Confluent Cloud
├── .env                 # Environment variables (example - should be copied and filled)
├── README.md            # This file
└── package.json         # Node.js project metadata and dependencies

Building and Running

  1. Install Dependencies:

    bash
    npm install

  2. Development Mode (watch for changes):

    bash
    npm run dev

    This command compiles the TypeScript code to JavaScript and automatically rebuilds when changes are detected in the src/ directory.

  3. Production Build (one-time compilation):

    bash
    npm run build

  4. Start the Server:

    bash
    npm run start

Docker

Prerequisites

Before you begin, ensure you have the following installed on your system:

Docker Desktop (or Docker Engine and Docker Compose): https://www.docker.com/products/docker-desktop

Environment Variables

The MCP server requires several environment variables to connect to Confluent Cloud and other relevant services. These should be provided in the .env file in the root directory of this project. Or you can add them directly in the docker-compose.yml

Building and Running with Docker

Here's how to build your Docker image and run it in different modes.

  1. Navigate to your project directory. Open your terminal or command prompt and change to the directory containing the Dockerfile.

    bash
    cd /path/to/repo/mcp-confluent

  2. Build the Docker image.

    This command creates the mcp-server image based on the Dockerfile in the current directory.

    bash
    docker build -t mcp-server .

  3. Run the container

    • --rm: Automatically removes the container when it exits. This helps keep your system clean.
    • -i: Keeps STDIN open (runs the server using stdio transport by default).
    • -d: Runs the container in detached mode (in the background).
    • -p 3000:3000: Maps port 3000 on your host machine to port 3000 inside the container. Adjust this if your app listens on a different port.
    bash
    docker run --rm -i -d -p 3000:3000 mcp-server

    (Optional)

    • -t Transport Mode to enable http transport
    bash
    docker run --rm -d -p 3000:3000 mcp-server -t http

Building and Running with Docker Compose

  1. Navigate to the project root: Open your terminal or command prompt and change to the directory containing Dockerfile and docker-compose.yml.

    bash
    cd /path/to/repo/mcp-confluent

  2. Build and run the service: Docker Compose will build the Docker image (if not already built) and start the mcp-server service.

    bash
    docker compose up --build

    The --build flag ensures that Docker Compose rebuilds the image before starting the container. You can omit this flag on subsequent runs if you haven't changed the Dockerfile or source code.

    The server will be accessible on http://localhost:3000 (or the port specified in HTTP_PORT in your .env file).

  3. Stopping the Server To stop the running MCP server and remove the containers, press Ctrl+C in the terminal where docker compose up is running.

    Alternatively, in a new terminal from the project root, you can run:

    bash
    docker compose down

    This command stops and removes the containers, networks, and volumes created by docker compose up.

Testing

MCP Inspector

For testing MCP servers, you can use MCP Inspector which is an interactive developer tool for testing and debugging MCP servers.

bash
# make sure you've already built the project either in dev mode or by running npm run build
npx @modelcontextprotocol/inspector node  $PATH_TO_PROJECT/dist/index.js --env-file $PATH_TO_PROJECT/.env

Adding a New Tool

  1. Add a new enum to the enum class ToolName.
  2. Add your new tool to the handlers map in the ToolFactory class.
  3. Create a new file, exporting the class that extends BaseToolHandler.
    1. Implement the handle method of the base class.
    2. Implement the getToolConfig method of the base class.
  4. Once satisfied, add it to the set of enabledTools in index.ts.

Generating Types

bash
# as of v7.5.2 there is a bug when using allOf w/ required https://github.com/openapi-ts/openapi-typescript/issues/1474. need --empty-objects-unknown flag to avoid it
npx openapi-typescript ./openapi.json -o ./src/confluent/openapi-schema.d.ts --empty-objects-unknown

Contributing

Bug reports and feedback is appreciated in the form of Github Issues. For guidelines on contributing please see CONTRIBUTING.md

Star History

Star History Chart

Repository Owner

confluentinc
confluentinc

Organization

Repository Details

Language TypeScript
Default Branch main
Size 39,259 KB
Contributors 10
License MIT License
MCP Verified Nov 12, 2025

Programming Languages

TypeScript
96.7%
JavaScript
2.93%
Dockerfile
0.36%

Tags

natural-language-interface cloud-integration

Join Our Newsletter

Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.

We respect your privacy. Unsubscribe at any time.

Related MCPs

Discover similar Model Context Protocol servers

  • mcp-server-atlassian-confluence

    mcp-server-atlassian-confluence

    Seamlessly connect AI assistants to your Atlassian Confluence knowledge base.

    Enables integration of AI assistants like Claude and Cursor AI directly with Atlassian Confluence, allowing users to interact with their documentation and knowledge base using natural language queries. Supports instant answers, search across all spaces, and access to specific Confluence content and discussions. Follows the Model Context Protocol (MCP) for standardized model context management and easy configuration with various AI assistants via STDIO transport or config files.

    • ⭐ 39
    • MCP
    • aashari/mcp-server-atlassian-confluence
  • Firefly MCP Server

    Firefly MCP Server

    Seamless resource discovery and codification for Cloud and SaaS with Model Context Protocol integration.

    Firefly MCP Server is a TypeScript-based server implementing the Model Context Protocol to enable integration with the Firefly platform for discovering and managing resources across Cloud and SaaS accounts. It supports secure authentication, resource codification into infrastructure as code, and easy integration with tools such as Claude and Cursor. The server can be configured via environment variables or command line and communicates using standardized MCP interfaces. Its features facilitate automation and codification workflows for cloud resource management.

    • ⭐ 15
    • MCP
    • gofireflyio/firefly-mcp
  • QuantConnect MCP Server

    QuantConnect MCP Server

    Official bridge for secure AI access to QuantConnect's algorithmic trading cloud platform

    QuantConnect MCP Server enables artificial intelligence systems such as Claude and OpenAI to interface with QuantConnect's cloud platform through an official, secure, and dockerized implementation of the Model Context Protocol (MCP). It facilitates automated project management, strategy writing, backtesting, and live deployment by exposing a comprehensive suite of API tools for users with valid access credentials. As the maintained official version, it ensures security, easy deployment, and cross-platform compatibility for advanced algorithmic trading automation.

    • ⭐ 50
    • MCP
    • QuantConnect/mcp-server
  • CipherTrust Manager MCP Server

    CipherTrust Manager MCP Server

    Enables AI assistants to access CipherTrust Manager securely via the Model Context Protocol.

    CipherTrust Manager MCP Server provides an implementation of the Model Context Protocol (MCP), offering AI assistants such as Claude and Cursor a unified interface to interact with CipherTrust Manager resources. Communication is facilitated through JSON-RPC over stdin/stdout, enabling key management, CTE client management, user management, and connection management functionalities. The tool is configurable via environment variables and integrates with existing CipherTrust Manager instances using the ksctl CLI for secure resource access.

    • ⭐ 7
    • MCP
    • sanyambassi/ciphertrust-manager-mcp-server
  • Kanboard MCP Server

    Kanboard MCP Server

    MCP server for seamless AI integration with Kanboard project management.

    Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

    • ⭐ 15
    • MCP
    • bivex/kanboard-mcp
  • Kafka Schema Registry MCP Server

    Kafka Schema Registry MCP Server

    MCP-compliant server for advanced Kafka Schema Registry management and integration.

    Kafka Schema Registry MCP Server is a fully-compliant Model Context Protocol (MCP) server built with the FastMCP 2.8.0+ framework. It provides advanced schema context support, enables multi-registry management, and offers comprehensive schema export capabilities. The tool is designed for seamless integration with Claude Desktop and other MCP clients using JSON-RPC over stdio. It supports Docker-based deployment and includes features to streamline both administrator and end-user workflows.

    • ⭐ 26
    • MCP
    • aywengo/kafka-schema-reg-mcp
    • View all Alternatives

    Didn't find tool you were looking for?

    Be as detailed as possible for better results