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20 Best MySQL MCP Servers: compared and ranked, October 2026Ranked from 611 matching servers on stars, growth, downloads and maintenance. Updated .

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    Enables AI assistants to search and filter Azure platform updates, including previews, general availability, and retirements, through natural language queries.
    1
    27 PyPI
    1
    MIT
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    Enables AI agents to interact with Salesforce through MCP, supporting queries, records, metadata, and bulk operations with flexible OAuth authentication.
    16
    MIT
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    A Google Calendar MCP server built with FastMCP, providing tools for event CRUD, calendar management, and availability queries via the Google Calendar API.
    9
    MIT
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    A Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.
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    Enables interaction with openGauss databases through multiple transport methods (Stdio, SSE, Streamable-Http). Supports database operations and queries with configurable connection parameters.
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    Enables connecting to multiple ClickHouse instances via dynamic registration or YAML configuration, supporting SQL queries and data source management through MCP tools.
    6
    Apache 2.0
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    A personal memory engine and MCP server that stores durable facts in markdown files managed via git, enabling hybrid search (lexical + semantic) through an MCP interface for persistent context across LLM sessions.
    3
    MIT
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    3
    29 PyPI
    29
    Apache 2.0
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    Connects AI agents to ROS 2 robots via rosbridge, enabling observation, inspection, and control of robot topics, services, and actions through natural language.
    11
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    MIT
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    Enables a Claude Code agent to drive Big Interview ResumeAI locally over stdio, exposing six tools for checking auth status, listing, starting, monitoring, retrieving feedback for, and deleting resume scans. Every call returns structured success or error payloads for reliable agent workflows.
    6
    2
    MIT
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    Read-only MCP server for the Bucharest Stock Exchange, exposing instrument data, OHLCV candles, and fundamentals through a public backend with no authentication.
    9
    1
    MIT
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    A secure MCP server that stores and retrieves API keys and credentials, featuring encrypted storage, masked retrieval, and AI-powered recommendation via MCP sampling.
    7
    MIT
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    Code-mode MCP server (docs_search + execute_code two-tool surface) backed by a unified capability manifest across three sandbox kernels (in-process node:vm, WASM via QuickJS / Pyodide / Wasmtime, and remote microVM via E2B / Cloudflare Sandbox). At N=30 tools the bootstrap-context cost drops to 13.6% of direct tool-use. Apache-2.0.
    2
    6
    Apache 2.0
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    A minimal MCP server that enables HTTP requests with any method, headers, and body types, supporting large responses through chunked transfers with disk-backed caching.
    2
    MIT
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    Enables AI agents and assistants to extract data from social media, search engines, maps, e-commerce sites, and any other website by running thousands of ready-made scrapers, crawlers, and automation tools as callable tools, with OAuth-based connection and optional agentic payments.
    11
    17,093 npm
    2
    MIT
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    Connects AI agents to MAVLink drones (PX4, ArduPilot) via a capability layer with safety guardrails, enabling telemetry, flight control, and mission management through natural language.
    12
    2
    MIT
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    Enables AI assistants to interact with Intervals.icu fitness tracking and wellness data, allowing users to fetch, filter, and group activities or health metrics. It provides structured summaries of workouts and physical well-being through natural language queries.
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