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118,203 servers. Updated
20 Best GitHub MCP Servers: compared and ranked, November 2026Ranked from 2,236 matching servers on stars, growth, downloads and maintenance. Updated .

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    An MCP server that enables AI coding assistants to interact with a local Airflow cluster via its REST API for triggering DAG runs, monitoring status, reading logs, and diagnosing errors.
    10
    21 PyPI
    1
    MIT
  • A
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    A
    quality
    B
    maintenance
    50 tools and 400 functions for working with Excel/.xlsx spreadsheets — read/write, recalculate formulas, diff, repair broken references, and audit. Built for AI agents.
    50
    2,388 npm
    6
    MIT
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    A fast, safe MCP server for YNAB providing read-only budget access by default, with 28 tools for budgets, transactions, categories, payees, accounts, scheduled transactions, and server-computed analytics.
    MIT
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    Not graded
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    MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.
    MIT
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    A Windows-optimized server providing universal data analytics for JSON and CSV files through over 32 tools including schema discovery and interactive visualizations. It is specifically designed for seamless integration with Claude Desktop on Windows.
    1
    MIT
  • A
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    A
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    A stdio MCP server exposing a validate_emails tool that lets agents screen email lists without sending mail or probing SMTP, checking syntax, DNS/MX records, disposable domains, role accounts, free providers, typo suggestions, and SPF/DMARC. Each address comes back with a valid/risky/invalid/unknown verdict plus machine-readable reason codes so agents can clean leads and signups before outreach or import.
    2
    MIT
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    Give your AI agent the entire China A-share market: 55 datasets of prices, financials, capital flows, corporate events and futures/options, stored locally and queryable with read-only SQL. Built point-in-time with delisted stocks kept, so backtests don't lie — no account, no API key.
    12
    6
    664 PyPI
    973
    Apache 2.0
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    Enables an AI assistant to answer customer-success questions by synthesizing simulated billing, support ticket, and product usage data into composite churn-risk scores, bands, and plain-language explanations for fictional accounts. It exposes raw-data tools, a synthesis tool, and a methodology resource so users can list at-risk accounts or get a per-account health summary.
    4
    MIT
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    A
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    maintenance
    Enables local Power BI project (.pbip) automation, including model (TMDL) and report (PBIR) layer manipulation, without cloud dependencies. Provides 56 tools for building, editing, and validating reports and measures through natural language prompts.
    13
    MIT
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    Enables querying and mutating data across multiple sources (CSV, Google Sheets, SQLite, PostgreSQL, MySQL, MongoDB, Oracle) through a dynamic GraphQL API, with flexible filtering, batching, persisted queries, and dynamic source switching.
    8
    4 npm
    MIT
  • A
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    A
    quality
    A
    maintenance
    Enables AI assistants to read, create, and modify SAP BW/4HANA modeling objects via the internal REST API, including aDSOs, InfoObjects, transformations, DTPs, queries, and more.
    130
    486 npm
    77
    MIT
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    Enables exhaustive combinatorial search over a discrete space by enumerating the full Cartesian product, sharding work across accelerators, scoring every combination against a named objective, and returning a ranked list, with cost planning and emergency stop controls.
    6
    MIT
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    quality
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    Enables managing a Yandex Business branch network through an XML feed from any MCP client. Agents can edit branch data in YAML, import/export, validate, diff, and build the feed locally, while publishing to Yandex remains manual.
    9
    MIT
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    Provides access to comprehensive financial market data from Massive.com API, including real-time and historical data for stocks, options, forex, crypto, trades, quotes, market snapshots, ticker details, dividends, splits, fundamentals, and market status through an LLM-friendly interface.
    53
    MIT
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    B
    maintenance
    Converts PDF, Word, PowerPoint, Excel, and HTML documents into Markdown, handling files up to 8 MB in a single call and routing larger or scanned files through an OCR and table-detection queue that returns Markdown plus a JSON structure file. Results arrive either by polling or a signed webhook.
    MIT
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    Connects MCP clients such as Claude Desktop and Claude Code to Opteryx so users can ask questions about their data in plain English, discovering datasets, reading schemas, running queries, profiling columns, and validating SQL. Every call runs as the token's own user and against only the data that user can see.
    Apache 2.0
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    Not graded
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    D
    maintenance
    A FastMCP integration server that provides access to Apache Gravitino metadata management APIs, allowing users to manage catalog/schema/table metadata, tags, and user-role information through a structured interface.
    23
    Apache 2.0
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    An MCP server for controlling Apache Airflow 3 via its REST API, enabling operations like DAG management, task monitoring, and more through natural language.
    MIT
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    Connects an AI agent over Streamable HTTP to a workspace so it can read datasets, contracts, runs and receipts, and, when the owner permits, create fields and value sets, start runs and publish releases — while each deployed tool is also served as its own endpoint whose schema is generated from the owner's contracts. Every value comes with a receipt and safety exclusions are enforced in the query, with sensitive actions like approving review items or publishing past the accuracy gate reserved for a person.
    MIT
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    Live normalized remote-job data across 5 boards — one keyless endpoint, one schema, skill fit-score. No API key required. Tools: search jobs by skills + salary floor, live market stats, and computed salary bands.
    MIT
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    Connect AI assistants to your Metabase analytics platform. Access dashboards, execute queries, and retrieve data seamlessly through conversational interfaces. Enhance your analytics experience with structured data access and robust error handling.
    333 npm
    36
    MIT
  • A
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    Enables LLM clients to analyze and interact with Power BI (.pbix) files, providing access to data models, DAX measures, Power Query code, table relationships, and data contents through natural language.
    MIT
  • A
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    Not graded
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    MCP server for DataHub that detects duplicate datasets across platforms and governance gaps, enabling users to apply governance from one twin to another with dry-run by default.
    Apache 2.0