Google Tasks MCP Server - Alternatives & Competitors

Ranked by Relevance

• 1
  

  Google Workspace MCP Server

  Full natural language control of Google Workspace through the Model Context Protocol.

  Google Workspace MCP Server enables comprehensive natural language interaction with Google services such as Calendar, Drive, Gmail, Docs, Sheets, Slides, Forms, Tasks, and Chat via any MCP-compatible client or AI assistant. It supports both single-user and secure multi-user OAuth 2.1 authentication, providing a production-ready backend for custom apps. Built on FastMCP, it delivers high performance and advanced context handling, offering deep integration with the entire Google Workspace suite.

  890 259 MCP
• 2
  

  Google Workspace MCP Server

  A secure MCP server bridging Google Workspace and AI clients.

  Google Workspace MCP Server implements the Model Context Protocol to enable secure integration between Google Workspace services—such as Gmail, Calendar, and Drive—and any MCP-compatible AI client. It allows users to read, search, create, update, and delete Google Calendar events, emails, and Drive files directly through an AI agent interface. The tool ensures authentication via Google OAuth and provides a seamless setup process for both server and client sides. This makes it easier for AI-powered workflows to interact with Google Workspace data securely and contextually.

  20 7 MCP
• 3
  

  MCP Server for Google Tag Manager

  Remote MCP server enabling Google Tag Manager integration with AI clients.

  MCP Server for Google Tag Manager enables remote MCP connections with built-in Google OAuth, creating an interface to the Google Tag Manager API. It facilitates secure authentication and streamlined access for AI tools like Claude Desktop and Cursor AI. Developers can quickly configure their MCP clients for seamless integration and manage credentials with ease. Tools and workflows become accessible once authenticated, enhancing contextual interaction and automation through Google Tag Manager.

  70 29 MCP
• 4
  

  mcp-gsuite

  MCP server for integrating Google Gmail and Calendar with AI tools

  mcp-gsuite enables seamless integration of Google Workspace products, such as Gmail and Calendar, with AI models via the Model Context Protocol (MCP). It supports multiple Google accounts, OAuth2 authentication, and a variety of email and calendar management functions. Users can retrieve, compose, and manage emails or calendar events, and provide rich contextual information to AI systems.

  457 89 MCP
• 5
  

  Google Calendar MCP Server

  MCP-compliant server enabling Google Calendar integration with Claude Desktop.

  Google Calendar MCP Server provides a Model Context Protocol server implementation for seamless integration between Claude Desktop and Google Calendar. It enables natural language-based scheduling, creation, updating, and deletion of calendar events by handling OAuth2 authentication and offering standardized tool interfaces. The server employs TypeScript, leverages the MCP SDK, and ensures secure token handling with AES-256-GCM encryption. Robust schema validation and environment-based configuration enable secure, reliable, and flexible calendar management.

  53 7 MCP
• 6
  

  Google Ads MCP Server

  Seamlessly connect Google Ads API to MCP clients with automatic authentication and querying.

  Google Ads MCP Server is a FastMCP-powered Model Context Protocol server designed to integrate Google Ads API with MCP clients such as Claude Desktop. It provides automatic OAuth 2.0 authentication, smart token management, GAQL query execution, and keyword research tools. The server enables users to manage accounts, run advanced queries, and generate keyword ideas while maintaining secure local token storage. Optimized for one-click setup, it offers robust features for advertisers and developers looking to leverage Google Ads data with MCP-compatible tools.

  76 26 MCP
• 7
  

  MCP Google Drive Server

  Seamlessly connect Google Drive and Sheets with MCP tools for file access and editing.

  The MCP Google Drive Server enables integration with Google Drive and Google Sheets, allowing users to search, read, and retrieve files, as well as interact with spreadsheets. It provides MCP-compatible tools for searching files, reading file contents, reading spreadsheet ranges, and updating spreadsheet cells. Files in Google Drive are made accessible through standardized resources, supporting multiple export formats for Google Workspace files. Designed for easy authentication and configuration with Google Cloud, the server streamlines interactions between external systems and Google Drive resources.

  228 85 MCP
• 8
  

  Google Sheets MCP Server

  Automate Google Sheets with Model Context Protocol integration.

  Google Sheets MCP Server enables seamless integration between Google Sheets and any MCP-compatible client, providing rich API access for spreadsheet automation. It offers full CRUD operations on spreadsheets and tables, secure authentication with Google Service Accounts, and compatibility with tools like Continue.dev, Claude Desktop, and Perplexity. The service can be rapidly installed with the uvx package manager, making it fast and easy to connect Google Sheets to various AI and automation workflows.

  12 3 MCP
• 9
  

  MyMCP Server (All-in-One Model Context Protocol)

  Powerful and extensible Model Context Protocol server with developer and productivity integrations.

  MyMCP Server is a robust Model Context Protocol (MCP) server implementation that integrates with services like GitLab, Jira, Confluence, YouTube, Google Workspace, and more. It provides AI-powered search, contextual tool execution, and workflow automation for development and productivity tasks. The system supports extensive configuration and enables selective activation of grouped toolsets for various environments. Installation and deployment are streamlined, with both automated and manual setup options available.

  93 9 MCP
• 10
  

  Google MCP Tools

  Seamless Google Workspace integration for AI-driven clients via the MCP protocol

  Google MCP Tools enables AI clients to interact with Google services like Gmail, Calendar, and Drive using the Model Context Protocol (MCP). It provides secure OAuth and service account support for managing emails, calendar events, and drive files. Core capabilities include sending and drafting emails with attachments, managing labels, scheduling calendar events, and handling files in Google Drive. Designed for smooth integration with AI assistants such as Claude and Cursor.

  12 9 MCP
• 11
  

  mcp-google-sheets

  Your AI Assistant's Gateway to Google Sheets!

  mcp-google-sheets is a Python-based MCP server that bridges MCP-compatible clients and the Google Sheets API. It enables seamless interaction with Google Spreadsheets, allowing for data manipulation, automation, and workflow creation driven by AI tools via a standardized protocol. The server can be quickly deployed using 'uvx', supports service account authentication, and integrates with AI clients like Claude Desktop. It offers a defined set of tools to streamline spreadsheet operations securely and efficiently.

  502 136 MCP
• 12
  

  MCP Google Sheets Server

  Seamless Google Sheets integration for MCP clients.

  Enables MCP-compatible clients to read, write, and manage Google Sheets through a dedicated server interface. Provides advanced spreadsheet operations such as batch editing, chart creation, and formatting while supporting secure authentication using Google Cloud service accounts. Offers production-grade reliability with TypeScript implementation, robust error handling, and comprehensive test coverage. Easily integrates with platforms like Claude Code, Claude Desktop, Cursor, and more.

  34 9 MCP
• 13
  

  Graphlit MCP Server

  Integrate and unify knowledge sources for RAG-ready AI context with the Graphlit MCP Server.

  Graphlit MCP Server provides a Model Context Protocol interface, enabling seamless integration between MCP clients and the Graphlit platform. It supports ingestion from a wide array of sources such as Slack, Discord, Google Drive, email, Jira, and GitHub, turning them into a searchable, RAG-ready knowledge base. Built-in tools allow for document, media extraction, web crawling, and web search, as well as advanced retrieval and publishing functionalities. The server facilitates easy configuration, sophisticated data operations, and automated notifications for diverse workflows.

  369 49 MCP
• 14
  

  Scrapeless MCP Server

  A real-time web integration layer for LLMs and AI agents built on the open MCP standard.

  Scrapeless MCP Server is a powerful integration layer enabling large language models, AI agents, and applications to interact with the web in real time. Built on the open Model Context Protocol, it facilitates seamless connections between models like ChatGPT, Claude, and tools such as Cursor to external web capabilities, including Google services, browser automation, and advanced data extraction. The system supports multiple transport modes and is designed to provide dynamic, real-world context to AI workflows. Robust scraping, dynamic content handling, and flexible export formats are core parts of the feature set.

  57 10 MCP
• 15
  

  TaskWarrior MCP Server

  MCP server for managing TaskWarrior tasks via a standardized protocol

  Implements the Model Context Protocol (MCP) to provide a Node.js server interface for TaskWarrior operations. Allows viewing, filtering, adding, and completing tasks through a standardized API. Integrates with task management workflows by utilizing the local TaskWarrior client, supporting advanced task attributes like projects and tags. Enables seamless task manipulation for external tools such as Claude Desktop.

  36 8 MCP
• 16
  

  TickTick MCP

  MCP server for AI-powered TickTick task management integration

  TickTick MCP is a Model Context Protocol (MCP) server that enables standardized integration of TickTick's task management features with AI assistants and developer applications. It allows programmatic access to create, update, retrieve, complete, or delete tasks and projects in TickTick via Python. Using this MCP server, AI systems can leverage TickTick's API to help automate and manage user's to-do lists and projects through natural language or other interfaces.

  6 6 MCP
• 17
  

  Todoist MCP Server

  Natural language Todoist management for Claude via MCP.

  Todoist MCP Server enables integration of Claude with Todoist, allowing users to manage their tasks using natural language commands. It implements the Model Context Protocol (MCP), providing tools for creating, updating, completing, and deleting tasks through conversational input. The server supports smart search, flexible filtering, and rich task attribute handling, aiming to streamline task management with intuitive error feedback.

  323 63 MCP
• 18
  

  G-Search MCP

  Parallel Google search server with MCP support for structured AI context.

  G-Search MCP is a server for executing parallel Google searches optimized for use with AI tools through the Model Context Protocol. It efficiently handles multiple queries at once, simulates realistic user behavior to evade detection, and returns well-structured JSON responses. The server is configurable, supports parameter tuning like search limits and timeouts, and is designed for seamless integration in AI-driven environments such as Claude Desktop.

  224 29 MCP
• 19
  

  TickTick MCP Server

  Enable powerful AI-driven task management for TickTick via the Model Context Protocol.

  TickTick MCP Server provides comprehensive programmatic access to TickTick task management features using the Model Context Protocol. Built on the ticktick-py library, it enables AI assistants and MCP-compatible applications to create, update, retrieve, and filter tasks with improved precision and flexibility. The server supports advanced filtering, project and tag management, subtask handling, and robust context management for seamless AI integration.

  35 9 MCP
• 20
  

  Airtable MCP Server

  Advanced AI-powered server enabling enterprise-grade automation and analytics for Airtable through MCP.

  Airtable MCP Server is an AI-enhanced MCP-compliant server designed to provide seamless integration with Airtable databases. It offers intelligent automation, predictive analytics, natural language querying, and comprehensive schema management, powered by a robust TypeScript architecture. The solution is equipped with multi-base support, enterprise-level security, and advanced governance, making it suitable for diverse workflow automation and analytics scenarios.

  45 17 MCP
• 21
  

  MCP ChatGPT Server

  Enables direct access to OpenAI's ChatGPT API from Claude Desktop via the Model Context Protocol.

  MCP ChatGPT Server runs as an MCP-compliant server, allowing users to access OpenAI's ChatGPT API seamlessly within Claude Desktop. It supports customizable model parameters, automated conversation state management, integrated web search for up-to-date information, and facilitates interactive discussions between Claude and ChatGPT. Users can configure model selection, temperature, token limits, and use their own OpenAI API keys.

  14 8 MCP
• 22
  

  Keycloak MCP Server

  MCP server for streamlined Keycloak administration and user management

  Keycloak MCP Server provides a Model Context Protocol (MCP) interface for managing Keycloak users and realms. It enables easy creation, deletion, and listing of users and realms through standardized tools. Designed for integration with platforms like Claude Desktop and tools like Smithery, it automates repeated Keycloak admin tasks and supports both NPM and local development setups.

  33 9 MCP
• 23
  

  MCP Web Research Server

  Bring real-time web research and Google search capabilities into Claude using MCP.

  MCP Web Research Server acts as a Model Context Protocol (MCP) server, seamlessly integrating web research functionalities with Claude Desktop. It enables Google search, webpage content extraction, research session tracking, and screenshot capture, all accessible directly from Claude. The server supports interactive and guided research sessions, exposing session data and screenshots as MCP resources for enhanced context-aware AI interactions.

  284 73 MCP
• 24
  

  GitMCP

  Instantly turn any GitHub repository into an AI-ready documentation hub.

  GitMCP is a free, open-source, remote Model Context Protocol (MCP) server that gives AI assistants real-time access to the latest documentation and code from any GitHub repository. It transforms any GitHub project into an accessible documentation hub, enabling AI tools to deliver accurate results, reduce hallucinations, and improve code correctness. Supporting both specific and generic server modes, it allows seamless integration into developer workflows with zero setup. GitMCP emphasizes privacy, flexibility, and up-to-date information retrieval.

  6,916 571 MCP
• 25
  

  keep-mcp

  Connect Google Keep notes to the Model Context Protocol ecosystem.

  Provides an MCP server interface for Google Keep, enabling standardized interaction with Keep notes via the Model Context Protocol. Allows users to search, create, update, and delete Google Keep notes through MCP, supporting integration with MCP-compatible platforms. It restricts modification and deletion operations to notes managed by the MCP server unless configured otherwise. Credentials for Google authentication are securely handled through environment variables.

  52 19 MCP
• 26
  

  notion-mcp

  An MCP server for managing Notion to-do lists via API integration.

  notion-mcp provides a Model Context Protocol (MCP) server that connects with Notion's API to help users manage their personal to-do lists. It enables querying, adding, and updating tasks directly from Notion through a standardized MCP interface, and is designed for integration with tools like Claude Desktop. The project is set up for easy deployment via Smithery and supports OAuth credentials and per-user configuration.

  27 4 MCP
• 27
  

  MCP Zotero

  Model Context Protocol server for seamless Zotero integration with AI tools.

  MCP Zotero provides a Model Context Protocol server enabling AI models such as Claude to access and interact with Zotero libraries. Users can securely link their Zotero accounts and perform actions including listing collections, retrieving papers, searching the library, and getting details about specific items. Integration is designed for both standalone operation and as an extension for tools like Claude Desktop.

  137 17 MCP
• 28
  

  MCP Link

  Convert Any OpenAPI V3 API to an MCP Server for seamless AI Agent integration.

  MCP Link enables automatic conversion of any OpenAPI v3-compliant RESTful API into a Model Context Protocol (MCP) server, allowing instant compatibility with AI-driven agent frameworks. It eliminates the need for manual interface creation and code modification by translating OpenAPI schemas into MCP endpoints. MCP Link supports robust feature mapping and authentication, making it easy to expose existing APIs to AI ecosystems using a standardized protocol. The tool is designed for both developers and organizations seeking to streamline API integration with AI agents.

  572 68 MCP
• 29
  

  GitHub Repos Manager MCP Server

  Token-based, high-performance GitHub automation for MCP clients.

  GitHub Repos Manager MCP Server offers a comprehensive Model Context Protocol (MCP) server for managing GitHub repositories via direct API integration. It enables MCP clients such as Claude Desktop, Roo Code, and Cursor to automate GitHub workflows using just a personal access token, without the need for Docker. With 89 tools, users can handle repository management, issue tracking, collaboration, and advanced configuration with fine-grained control. The server is optimized for simplicity, security, and powerful automation through flexible tool management and granular access permissions.

  13 4 MCP
• 30
  

  MCP Swagger Server (mss)

  Seamlessly convert OpenAPI/Swagger specs into Model Context Protocol tools for AI integration.

  MCP Swagger Server converts OpenAPI/Swagger API specifications into Model Context Protocol (MCP) compatible tools, enabling REST APIs to become directly callable by AI systems. It supports zero-configuration conversion, multiple transport protocols (SSE, Streamable, Stdio), and secure API access through Bearer Token authentication. The tool offers an interactive command-line interface and configuration options to filter operations, customize transports, and manage API security. Its modular structure includes OpenAPI parsing, web UI, and backend services.

  38 8 MCP
• 31
  

  Things MCP Server

  Seamless Model Context Protocol integration for managing Things app todos and projects.

  Things MCP Server enables AI assistants to interact with the Things productivity app using the Model Context Protocol (MCP). It offers comprehensive support for Things' URL scheme, allowing creation, updating, and management of todos and projects through standardized commands. The server supports batch operations, advanced organization features, and natural language scheduling, making task automation efficient for MCP-compatible clients.

  6 3 MCP
• 32
  

  Google News MCP Server

  A Model Context Protocol server providing Google News search with smart categorization and multi-language support.

  Implements a Model Context Protocol (MCP) server that integrates with SerpAPI to deliver advanced Google News search capabilities. Automatically categorizes news results, supports various languages and regions, and provides multiple search options such as query-based and topic search. Features robust error handling and flexible response types to suit diverse application needs.

  93 20 MCP
• 33
  

  Biel.ai MCP Server

  Seamlessly connect IDEs to your company’s product documentation using an MCP server.

  Biel.ai MCP Server enables AI tools such as Cursor, VS Code, and Claude Desktop to access and utilize a company’s product documentation and knowledge base through the Model Context Protocol. It provides a hosted RAG layer that makes documentation searchable and usable, supporting real-time, context-rich completion and answers for developers. The server can be used as a hosted solution or self-hosted locally or via Docker for advanced customization.

  2 2 MCP
• 34
  

  MCP GitLab Jira Server

  MCP server for seamless GitLab and Jira integration

  MCP GitLab Jira Server acts as a bridge, enabling AI agents to interact programmatically with GitLab and Jira instances via the Model Context Protocol. It provides a standardized server interface for operations on projects, merge requests, pipelines, branches, issues, releases, and users in GitLab, as well as tickets and project management features in Jira. The server can be run as a CLI tool or in a Docker container, making it compatible with tools like gemini-cli. Configuration via environment variables allows secure authentication and flexible deployment.

  6 4 MCP
• 35
  

  Gradle MCP Server

  MCP server for programmatic Gradle project inspection and task execution.

  Gradle MCP Server acts as a Model Context Protocol (MCP) server enabling AI tools to interact with Gradle projects through structured APIs. It allows clients to inspect project details, execute Gradle tasks, and run tests while retrieving detailed results in JSON format. This server supports both information querying and task orchestration, designed to integrate with platforms like VSCode extensions and Claude Desktop. It leverages the Gradle Tooling API to provide comprehensive build and test insights.

  38 4 MCP
• 36
  

  BigQuery MCP Server

  Enables LLMs to securely converse with BigQuery data using natural language.

  BigQuery MCP Server acts as a bridge between large language models and Google BigQuery, allowing natural language interactions with database data through the Model Context Protocol. Designed for integration with Claude Desktop, it securely processes user queries and translates them into SQL, streamlining data access and minimizing manual query writing. The tool ensures safe and read-only data operations, supports both tables and materialized views, and labels resource types for easier exploration. Installation is possible via Smithery or manual setup, with a focus on developer-friendliness and robust authentication options.

  129 31 MCP
• 37
  

  Triplyfy MCP

  Remote MCP server enabling Claude to plan, edit, and save trips on Triplyfy.

  Triplyfy MCP provides a remote Model Context Protocol (MCP) server integration for Claude Desktop, allowing users to seamlessly plan, edit, and save itineraries within the Triplyfy trip-planning platform. The setup facilitates secure user authentication via Google sign-in and manages session tokens for persistent access. Users can create, update, and organize their trips with features like drag-and-drop, integrated flight search, and map views. Communication between Claude and Triplyfy is handled through a standardized MCP SSE endpoint.

  3 2 MCP
• 38
  

  Shrimp Task Manager

  Intelligent task management for AI-powered development workflows.

  Shrimp Task Manager is an MCP (Model Context Protocol) server designed to enhance AI-driven software development by persisting project context, breaking down complex tasks, and guiding structured workflows. It integrates with MCP-compatible clients such as Claude Code to maintain task memory across sessions and streamline planning and execution. The system enables persistent memory, context preservation, and automated task decomposition, helping AI models work more efficiently and effectively within project constraints.

  1,868 230 MCP
• 39
  

  GeoServer MCP Server

  Connect LLMs to GeoServer for geospatial data management and AI-driven queries.

  GeoServer MCP Server implements the Model Context Protocol, enabling seamless integration between Large Language Models (LLMs) and the GeoServer REST API. It allows AI assistants to interact with, query, and manipulate geospatial data and services through standardized interfaces. The server supports management of workspaces, layers, and spatial queries, as well as rendering geospatial visualizations. Installation is supported via Docker, pip, and integration tools like Smithery, with compatibility for clients such as Claude Desktop and Cursor.

  43 9 MCP
• 40
  

  @bldbl/mcp

  Official MCP client for integrating AI assistants with Buildable projects.

  @bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.

  8 7 MCP
• 41
  

  Markdownify MCP Server

  Convert diverse files and web content into Markdown via the Model Context Protocol.

  Markdownify MCP Server offers a protocol-based server that transforms various file types—including PDF, images, audio, DOCX, XLSX, and PPTX—as well as web content like YouTube videos, Bing search results, and web pages into Markdown format. The server exposes a suite of conversion tools through a standardized interface for easy integration with applications. Optional configuration allows retrieval of Markdown files from restricted directories, and the platform supports development customization for additional tool integration. Deployment and operation are straightforward with cross-platform support (with pending Windows improvements).

  2,256 188 MCP
• 42
  

  GistPad MCP

  Manage and share personal knowledge and reusable prompts via GitHub Gists with MCP compatibility.

  GistPad MCP is an MCP server designed for managing, organizing, and sharing personal knowledge, daily notes, reusable prompts, and more through GitHub Gists. It integrates with clients like the GistPad VS Code extension and web apps, allowing users to interact with their gists using standardized MCP tools across MCP-enabled AI products. The project features comprehensive gist management, daily notes, collaboration, and prompt creation to streamline knowledge workflows with AI-enabled context. Seamless onboarding is supported via personal access tokens and simple configuration.

  168 24 MCP
• 43
  

  mcp-server-apache-airflow

  A Model Context Protocol server for integrating Apache Airflow with MCP clients.

  mcp-server-apache-airflow provides a Model Context Protocol (MCP) server implementation that allows standardized interaction with Apache Airflow environments. By wrapping Airflow's REST API, it enables MCP clients to manage and orchestrate workflows, DAGs, and runs in a consistent and interoperable manner. This implementation leverages the official Apache Airflow client library to ensure robust compatibility and maintainability. It streamlines the management of Airflow resources by exposing comprehensive endpoint coverage for key workflow operations.

  109 28 MCP
• 44
  

  kagi-server MCP Server

  TypeScript-based MCP server for Kagi Search API integration.

  Kagi-server MCP Server provides a TypeScript implementation of a Model Context Protocol (MCP) server that integrates with the Kagi Search API. It enables standardized tool access for performing web searches and plans for features like summarization, FastGPT integration, and enriched news results. Compatible with Claude Desktop and Smithery installations, it supports secure environment configuration and offers developer utilities such as automatic build and debugging via MCP Inspector.

  40 11 MCP
• 45
  

  BigQuery MCP Server

  MCP server enabling LLMs to access and interact with BigQuery databases.

  BigQuery MCP Server provides a Model Context Protocol-compliant interface that allows large language models to inspect database schemas and execute SQL queries on BigQuery. It exposes tools for executing queries, listing tables, and describing table schemas, supporting both CLI and environment-based configuration. The server integrates with Claude Desktop and can be easily installed via Smithery, facilitating seamless interaction between LLMs and BigQuery data sources.

  120 34 MCP
• 46
  

  Freshdesk MCP Server

  AI-powered Freshdesk integration for automated ticket and agent management via MCP.

  Enables seamless integration between AI models and Freshdesk by providing a Model Context Protocol (MCP) server interface. Supports a wide range of helpdesk operations such as ticket creation, updates, conversation management, agent handling, and contact management. Facilitates automated support workflows and allows AI agents to interact programmatically with Freshdesk modules.

  31 21 MCP
• 47
  

  CentralMind Gateway

  Create an API or MCP Server for structured databases in minutes.

  CentralMind Gateway automatically generates secure, LLM-optimized APIs for structured databases and exposes them via REST, OpenAPI 3.1, or the Model Context Protocol (MCP), including Server-Sent Events (SSE) for AI agents. It integrates privacy protection, auditing, and authentication mechanisms to enable seamless and compliant data access for AI-powered applications. The tool supports multiple database backends and is optimized for AI workloads, providing enhanced metadata for improved context understanding.

  500 62 MCP
• 48
  

  MCP Toolbox for Databases

  Open source MCP server for secure and efficient Gen AI database integrations.

  MCP Toolbox for Databases is an open source server that implements the Model Context Protocol (MCP) for database interactions in Gen AI workflows. It manages core complexities such as connection pooling, authentication, and tool integration, enabling developers to create and deploy database tools with ease and enhanced security. The toolbox supports streamlined connections between development environments and databases, offering observability, context-aware code generation, and automation features. Its design emphasizes rapid integration, reusable tools, and compatibility with AI assistants.

  11,412 988 MCP
• 49
  

  RAG Documentation MCP Server

  Vector-based documentation search and context augmentation for AI assistants

  RAG Documentation MCP Server provides vector-based search and retrieval tools for documentation, enabling large language models to reference relevant context in their responses. It supports managing multiple documentation sources, semantic search, and real-time context delivery. Documentation can be indexed, searched, and managed with queueing and processing features, making it highly suitable for AI-driven assistants. Integration with Claude Desktop and support for Qdrant vector databases is also available.

  238 29 MCP
• 50
  

  mcp-confluent

  MCP server for managing Confluent Cloud resources via natural language.

  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.

  115 36 MCP