simple_snowflake_mcp - Alternatives & Competitors

Production-ready MCP server for seamless Snowflake data integration.

Simple Snowflake MCP server provides advanced integration with Snowflake databases, facilitating database operations, metadata discovery, and resource monitoring with full compliance to the Model Context Protocol (MCP). It features a comprehensive YAML-based configuration system, robust logging options, and support for resource subscriptions and error handling. Designed for use in production environments, the server offers customizable access controls and is optimized for deployment behind corporate proxies.

#Snowflake integration #Database operations #enterprise-data #resource monitoring #metadata discovery #configuration management

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  • 1
    Snowflake Cortex AI Model Context Protocol (MCP) Server

    Snowflake Cortex AI Model Context Protocol (MCP) Server

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  • 2
    MXCP

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  • 3
    Kafka Schema Registry MCP Server

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    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.

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  • 4
    Databricks MCP Server

    Databricks MCP Server

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    Databricks MCP Server implements the Model Context Protocol (MCP) to provide a bridge between Databricks APIs and large language models. It enables LLMs to run SQL queries, list Databricks jobs, retrieve job statuses, and fetch detailed job information via a standardized MCP interface. The server handles authentication, secure environment configuration, and provides accessible endpoints for interaction with Databricks workspaces.

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  • 5
    mcp_mysql_server_pro

    mcp_mysql_server_pro

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    mcp_mysql_server_pro enables seamless MySQL database operations and analysis, supporting all Model Context Protocol (MCP) transfer modes including STDIO, SSE, and Streamable HTTP. It provides flexible permission control, advanced anomaly detection, and health status monitoring, with easy extensibility via custom tools. OAuth2.0 authentication is supported, and users can execute multi-statement SQL queries, perform index and lock analysis, and leverage prompt template invocation.

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  • 6
    SkySQL MCP Server

    SkySQL MCP Server

    Serverless MariaDB database management with AI-powered agents via Model Context Protocol.

    SkySQL MCP Server implements the Model Context Protocol to provide a robust interface for launching and managing serverless MariaDB and MySQL database instances. It offers capabilities to interact with AI-powered agents for intelligent database operations, execute SQL queries, and manage credentials and security settings. Integration with tools like MCP CLI, Smithery.ai, and Cursor.sh is supported for interactive usage. Designed for efficiency and scalability, it enables streamlined database workflows with advanced AI assistance.

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  • 7
    Shopify Storefront MCP Server

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  • 8
    MCP AI SOC Sher

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    AI-driven SOC Text2SQL framework with security threat analysis

    MCP AI SOC Sher is an advanced AI-powered platform that converts natural language prompts into optimized SQL queries using a Model Context Protocol-based server setup. It supports Text2SQL translation, real-time query processing, and security threat analysis across multiple database types. The tool offers multiple interfaces including STDIO, SSE, and REST API for flexible integration, and features in-depth SOC (Security Operations Center) monitoring capabilities. Built-in security features include SQL injection detection, sensitive table monitoring, and configurable security levels.

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  • 9
    XiYan MCP Server

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    A server enabling natural language queries to SQL databases via the Model Context Protocol.

    XiYan MCP Server is a Model Context Protocol (MCP) compliant server that allows users to query SQL databases such as MySQL and PostgreSQL using natural language. It leverages the XiYanSQL model, providing state-of-the-art text-to-SQL translation and supports both general LLMs and local deployment for enhanced security. The server lists available database tables as resources and can read table contents, making it simple to integrate with different applications.

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  • 10
    solscan-mcp

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    solscan-mcp provides a Model Context Protocol (MCP) server that interfaces with the Solscan Pro API to deliver blockchain data from the Solana network. Built in Rust, it allows querying of token information, account activities, and transactions, and is designed for easy integration with language models. The tool supports context-driven investigations by leveraging AI to analyze and report on blockchain wallet behaviors using customized context inputs.

    32 12 MCP
  • 11
    MCP libSQL by xexr

    MCP libSQL by xexr

    Secure, protocol-compliant libSQL database server for MCP-enabled clients.

    MCP libSQL by xexr provides a Model Context Protocol (MCP) server designed for secure database access and management via libSQL. It enables database operations—such as querying, table management, and schema inspection—through standardized MCP tools, ensuring compatibility with clients like Claude Desktop and Cursor. The project emphasizes robust security validation, audit logging, and comprehensive error handling. Users benefit from production-ready deployment, extensive test coverage, and streamlined integration with MCP-compatible platforms.

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  • 12
    Nile MCP Server

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    A Model Context Protocol (MCP) server for managing databases on the Nile platform through standardized interfaces.

    Nile MCP Server implements the Model Context Protocol to enable seamless integration between LLM applications and the Nile database platform. It provides standardized APIs for database and credential management, SQL execution, and region discovery. Written in TypeScript, the server focuses on type safety, comprehensive error handling, and robust input validation. It supports easy installation and integration with Claude Desktop for advanced AI workflows.

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  • 13
    Zabbix MCP Server

    Zabbix MCP Server

    MCP-compatible Zabbix server integration for comprehensive monitoring and automation.

    Zabbix MCP Server serves as a comprehensive Model Context Protocol (MCP) server, enabling seamless integration with Zabbix using FastMCP and python-zabbix-utils. It offers complete access to Zabbix API functionalities through MCP-compatible tools, supporting advanced management of hosts, groups, items, triggers, templates, and more. The server is designed for easy installation, configuration, and automation of monitoring through a standardized protocol interface.

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  • 14
    Zaturn

    Zaturn

    Your Co-Pilot For Data Analytics & Business Insights

    Zaturn enables AI models to interact with multiple data sources and generate analytics without requiring users to write SQL or Python code. It supports SQL databases and file formats, providing visual and tabular summaries and offering an interactive web interface similar to Jupyter Notebook. Zaturn can function both as a standalone platform or as a Model Context Protocol (MCP) compliant tool, allowing seamless context management for AI-driven data analysis.

    66 9 MCP
  • 15
    go-mcp-mysql

    go-mcp-mysql

    Zero-burden Model Context Protocol (MCP) server for MySQL automation.

    go-mcp-mysql is a ready-to-use server that implements the Model Context Protocol (MCP) for seamless interaction and automation with MySQL databases. Written in Go, it enables users to perform CRUD operations and check query plans without requiring a Node.js or Python environment. The server supports both command-line and DSN configurations, includes a read-only mode, and features a set of tools for managing schema and data. It is designed for low-overhead deployment and flexible MySQL automation workflows.

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  • 16
    Pydantic Logfire MCP Server

    Pydantic Logfire MCP Server

    Enables LLMs to access and analyze application telemetry data through standardized MCP tools.

    Pydantic Logfire MCP Server provides an MCP-compatible interface to access, analyze, and query telemetry data sent to Pydantic Logfire. It allows LLMs to retrieve distributed traces, perform SQL queries on telemetry databases, and generate links for trace inspection. The server can be integrated with well-known MCP clients and supports configuration for secure access with read tokens.

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  • 17
    mcp-server-sql-analyzer

    mcp-server-sql-analyzer

    MCP server for SQL analysis, linting, and dialect conversion.

    Provides standardized MCP server capabilities for analyzing, linting, and converting SQL queries across multiple dialects using SQLGlot. Supports syntactic validation, dialect transpilation, extraction of table and column references, and offers tools for understanding query structures. Facilitates seamless workflow integration with AI assistants through a set of MCP tools.

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  • 18
    mcp-server-duckdb

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    A Model Context Protocol server enabling SQL access to DuckDB databases.

    Implements a Model Context Protocol (MCP) server for DuckDB, allowing structured database interaction via MCP-compliant tools and language models. Offers a unified query tool for executing any SQL statement, with support for read-only mode to ensure data integrity. Flexible configuration options include database path specification and connection management. Easily integrable with applications like Claude Desktop for enhanced local data analysis through LLMs.

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  • 19
    mcp-server-rabbitmq

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  • 20
    mcp-server-qdrant

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    mcp-server-qdrant provides an official implementation of the Model Context Protocol for interfacing with the Qdrant vector search engine. It enables storing and retrieving contextual information, acting as a semantic memory layer for LLM-driven applications. Designed for easy integration, it supports environment-based configuration and extensibility via FastMCP. The server standardizes tool interfaces for managing and querying contextual data using Qdrant.

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  • 21
    BigQuery MCP Server

    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.

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  • 22
    MongoDB MCP Server

    MongoDB MCP Server

    A Model Context Protocol server for enabling LLM interaction with MongoDB databases.

    MongoDB MCP Server empowers language models to interface directly with MongoDB databases using the Model Context Protocol (MCP). It enables natural language querying and management of collections, documents, and indexes. Users can inspect database schemas, execute document operations, and manage indexes seamlessly. The tool integrates with clients like Claude Desktop for conversational database management.

    172 33 MCP
  • 23
    Neo4j MCP Clients & Servers

    Neo4j MCP Clients & Servers

    Seamless natural language and knowledge graph integration for Neo4j via Model Context Protocol.

    Neo4j MCP Clients & Servers provide standardized interfaces that enable large language models and AI assistants to interact with Neo4j databases and cloud services using natural language through the Model Context Protocol (MCP). It includes multiple servers for translating natural language to Cypher queries, managing graph memory, handling Neo4j Aura cloud services, and supporting interactive data modeling. Multiple transport modes such as STDIO, HTTP, and SSE offer flexibility for various deployments including cloud and local environments.

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  • 24
    Azure Data Explorer MCP Server

    Azure Data Explorer MCP Server

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    Azure Data Explorer MCP Server provides standardized MCP interfaces for AI assistants to execute KQL queries and interact with Azure Data Explorer (ADX/Kusto) databases. It supports secure authentication methods, database discovery, and delivers structured results in JSON format. Multiple deployment options, including Docker and various transports, enable flexible integration into development or production environments.

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  • 25
    POX MCP Server

    POX MCP Server

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  • 26
    MCP Server ODBC via SQLAlchemy

    MCP Server ODBC via SQLAlchemy

    A lightweight FastAPI server enabling model context protocol access to ODBC-compatible databases via SQLAlchemy.

    MCP Server ODBC via SQLAlchemy provides a lightweight, FastAPI-based server that implements the Model Context Protocol (MCP) for accessing ODBC-compatible databases. It bridges AI tools and database systems by exposing standardized endpoints for fetching schema, tables, table descriptions, and executing queries or stored procedures. With support for Virtuoso, PostgreSQL, MySQL, and SQLite, it allows seamless, structured, and context-aware database access for context-driven applications.

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  • 27
    FastMCP SonarQube Metrics

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    12 5 MCP
  • 28
    mcp-memgraph

    mcp-memgraph

    Expose Memgraph database features via the Model Context Protocol.

    mcp-memgraph provides an MCP (Model Context Protocol) server implementation, enabling Memgraph tools to be accessed over a lightweight STDIO protocol. It supports seamless integration with AI frameworks by standardizing context and communication for data-driven AI workflows. The toolkit is part of a larger suite for extending Memgraph with AI-powered capabilities, including tools for LangChain integration and automated database migration. Tested packages and usage examples are provided for quick adoption.

    52 5 MCP
  • 29
    Stocky

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    Find beautiful royalty-free stock images across multiple providers in one search.

    Stocky enables fast, asynchronous search and retrieval of royalty-free stock images from Pexels and Unsplash through a unified MCP-compatible interface. It supports rich metadata, provider flexibility, pagination, and robust error handling. Designed to operate as an MCP (Model Context Protocol) server, it integrates with MCP clients using standard client configuration and environment variables for API keys. Stocky provides Python async functions for searching, retrieving details, and downloading images with flexible output options.

    14 7 MCP
  • 30
    Bluesky Social MCP

    Bluesky Social MCP

    Interact with the Bluesky social network through an MCP server.

    Bluesky Social MCP provides an MCP-compliant server to interface with the Bluesky social platform using the atproto client. It enables a wide range of profile, feed, post management, and interaction features, all accessible via a standardized Model Context Protocol server setup. The project supports easy configuration, local deployment, and multiple authentication and posting operations.

    14 7 MCP
  • 31
    PancakeSwap PoolSpy MCP Server

    PancakeSwap PoolSpy MCP Server

    Real-time tracking of new PancakeSwap pools for DeFi analytics.

    PancakeSwap PoolSpy MCP Server provides a Model Context Protocol-compatible service for monitoring newly created liquidity pools on PancakeSwap. It offers real-time analytics including pool address, tokens, creation timestamp, volume, and total value locked. Users can customize queries for time range and results count, making it valuable for traders, analysts, and developers seeking up-to-date DeFi insights. The server is designed for easy deployment and integration via Smithery or manual setup.

    6 4 MCP
  • 32
    MCP SQLite Server

    MCP SQLite Server

    A Model Context Protocol server for interacting with SQLite databases.

    MCP SQLite Server enables comprehensive interaction with SQLite databases via the Model Context Protocol. It allows users to perform full CRUD operations, explore database schema, and execute custom SQL queries in a standardized, MCP-compatible way. Designed for integration with modern IDEs, it streamlines database management and introspection for developers and AI model workflows.

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  • 33
    MCP MongoDB Server

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    A Model Context Protocol server for LLM interaction with MongoDB databases.

    MCP MongoDB Server enables large language models to interact with MongoDB databases through the standardized Model Context Protocol interface. It provides schema inspection, document querying, aggregation, and write operations with intelligent ObjectId handling and flexible read-only configurations. Designed for seamless integration with tools like Claude Desktop, it offers collection completions, schema inference, and robust support for both development and production environments.

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  • 34
    Prometheus MCP Server

    Prometheus MCP Server

    Access and analyze Prometheus metrics through standardized MCP interfaces.

    Prometheus MCP Server enables seamless access to Prometheus metrics by providing a standardized Model Context Protocol (MCP) interface. It allows AI assistants and compatible clients to execute PromQL queries, discover and explore metric data, and retrieve instant or range-based results. The server supports authentication via basic and bearer token mechanisms and can be easily deployed via Docker or integrated into multiple development environments.

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  • 35
    OpenLink MCP Server for JDBC

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    A lightweight Java-based MCP server enabling model context protocol integration with any JDBC-compatible database.

    OpenLink MCP Server for JDBC provides a Java-based implementation of the Model Context Protocol (MCP), facilitating structured, context-aware interactions with relational databases via JDBC. It supports a variety of database operations, including schema and table discovery, table element descriptions, SQL query execution in multiple formats, and Virtuoso-specific features. Easily configurable and designed for integration with tools like Claude Desktop, it enables model-context-aware applications to access and manage database content effectively.

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  • 36
    EntraID MCP Server (Microsoft Graph FastMCP)

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    A modular FastMCP server for managing Microsoft Graph resources with advanced context and security.

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  • 37
    VikingDB MCP Server

    VikingDB MCP Server

    MCP server for managing and searching VikingDB vector databases.

    VikingDB MCP Server is an implementation of the Model Context Protocol (MCP) that acts as a bridge between VikingDB, a high-performance vector database by ByteDance, and AI model context management frameworks. It allows users to store, upsert, and search vectorized information efficiently using standardized MCP commands. The server supports various operations on VikingDB collections and indexes, making it suitable for integrating advanced vector search in AI workflows.

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  • 38
    MCP Alchemy

    MCP Alchemy

    Directly connect Claude Desktop to SQL databases for expert AI-powered analytics.

    MCP Alchemy enables seamless integration between Claude Desktop and a wide range of SQL databases through the Model Context Protocol. It empowers Claude to explore database structure, write and validate SQL queries, analyze relationships between tables, and process large datasets for reporting. The tool is compatible with PostgreSQL, MySQL, MariaDB, SQLite, Oracle, MS SQL Server, CrateDB, Vertica, and any SQLAlchemy-compatible database.

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  • 39
    char-index-mcp

    char-index-mcp

    Character-level string manipulation tools via MCP server.

    char-index-mcp is a Model Context Protocol (MCP) server offering character-level, index-based string manipulation tools. It provides utilities for finding, splitting, and modifying strings with precise control over character positions, making it highly suited for test code generation that requires exact text handling. The server can be easily installed and integrated with platforms like Claude and Cursor, and features batch processing and regex-based utilities.

    0 1 MCP
  • 40
    Snowflake MCP Server

    Snowflake MCP Server

    MCP server enabling secure and structured Snowflake database interaction with AI tools.

    Snowflake MCP Server provides a Model Context Protocol-conformant interface to interact programmatically with Snowflake databases. It exposes SQL execution, schema exploration, and insight aggregation as standardized resources and tools accessible by AI assistants. The server offers read/write capabilities, structured resource summaries, and insight memoization suitable for contextual AI workflows. Integration is supported with popular AI platforms such as Claude Desktop via Smithery or UVX configurations.

    170 75 MCP
  • 41
    Slack MCP Server

    Slack MCP Server

    A feature-rich Model Context Protocol server for integrating Slack Workspaces with AI model context management.

    Slack MCP Server acts as a Model Context Protocol (MCP) server tailored for Slack Workspaces, providing flexible integration modes including Stealth and OAuth. It enables advanced functionalities such as fetching channel and thread messages, supporting direct and group messages, smart history retrieval, and robust context management for AI workflows. Communication is supported over Stdio, SSE, and HTTP transports, and the platform includes enhanced features like user information embedding and cache support. Designed for enterprise and individual use, it allows seamless context extraction and management without compromising workspace security.

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  • 42
    Query MCP server for Supabase

    Query MCP server for Supabase

    Open-source MCP server for secure and managed Supabase project operations.

    Query MCP server provides an open-source implementation of the Model Context Protocol (MCP) for Supabase, enabling secure execution of SQL, schema management, and project administration directly from compatible IDEs. It offers robust safety measures, runtime SQL validation, and transaction handling, supporting collaboration across MCP clients. The server empowers developers to manage Supabase projects, users, and schema while ensuring built-in safety controls.

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  • 43
    Hydrolix MCP Server

    Hydrolix MCP Server

    MCP server for secure, efficient SQL access to Hydrolix clusters.

    Hydrolix MCP Server provides a Model Context Protocol (MCP) interface for executing SQL queries, listing databases, and listing tables on Hydrolix clusters. It ensures safe, read-only data access and includes a standardized health-check endpoint. The server integrates easily with various MCP-compatible clients, supporting multiple authentication methods using either credentials or service account tokens.

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  • 44
    books-mcp-server

    books-mcp-server

    A server implementation supporting Model Context Protocol integration with cherry-studio.

    books-mcp-server allows users to set up a Model Context Protocol (MCP) compliant server for managing and interacting with AI models. It enables integration with cherry-studio through STDIO commands and structured server configurations. The tool provides straightforward setup instructions and supports launching the server with customizable parameters, making it suitable for various AI context management tasks.

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  • 45
    mcp-confluent

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    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
  • 46
    mcp-server-templates

    mcp-server-templates

    Deploy Model Context Protocol servers instantly with zero configuration.

    MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.

    5 1 MCP
  • 47
    MySQL MCP Server

    MySQL MCP Server

    Secure MCP interface for MySQL database interaction with AI applications.

    MySQL MCP Server implements the Model Context Protocol (MCP) to provide a secure bridge between AI applications and MySQL databases. It enables structured exploration and controlled queries through a standardized communication interface, ensuring safe and logged access to data. Designed for integration with tools such as Claude Desktop and Visual Studio Code, MySQL MCP Server allows users to list, read, and query MySQL tables securely. Environment variable-based configuration and comprehensive logging enhance its reliability for sensitive database interactions.

    980 203 MCP
  • 48
    cloudflare/mcp-server-cloudflare

    cloudflare/mcp-server-cloudflare

    Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.

    Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.

    2,919 251 MCP
  • 49
    Trino MCP Server

    Trino MCP Server

    Expose Trino tables and querying via the Model Context Protocol.

    Trino MCP Server acts as an MCP-compatible interface, allowing users to query and list tables from Trino using Python. It bridges Trino's distributed SQL engine with the Model Context Protocol, exposing Trino tables as MCP resources. The server supports executing arbitrary SQL queries against Trino through a standardized protocol. It uses environment variable configuration for seamless integration and is built to interface with the broader MCP ecosystem.

    18 9 MCP
  • 50
    Aiven MCP Server

    Aiven MCP Server

    Model Context Protocol server enabling LLMs to access and manage Aiven cloud data services.

    Aiven MCP Server implements the Model Context Protocol (MCP) to provide secure access to Aiven's PostgreSQL, Kafka, ClickHouse, Valkey, and OpenSearch services. It enables Large Language Models (LLMs) to seamlessly integrate and interact with these cloud data platforms, supporting full stack solution development. The server offers streamlined tools for project and service management via standardized APIs and supports integration with platforms like Claude Desktop and Cursor. Environment variable configuration and explicit permission controls are used to ensure secure and flexible operations.

    11 11 MCP

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