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20 Best GitHub MCP Servers: compared and ranked, September 2026Ranked from 1,639 matching servers on stars, growth, downloads and maintenance. Updated .

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  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides GitHub open-source intelligence via MCP tools for discovering trends, evaluating repository health, comparing projects, and analyzing users, issues, and releases. It includes a CLI and can be used with AI assistants like Claude or Cursor.
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Enables AI assistants to discover and inspect research datasets via a read-only MCP server, offering search, variable listing, and metadata retrieval without reading data files.
    -
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server providing progressive discovery tools for SDMX statistical data, enabling AI agents to explore and access SDMX-compliant repositories through interactive tools, resources, and prompts.
    20
    MIT
  • A
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    quality
    A
    maintenance
    Enables AI clients to search a local literature library via vector semantic retrieval, with automatic conversion of Zotero items and arbitrary files into Markdown (including OCR for scanned PDFs). It supports natural language queries and provides answers with page-level citations.
    7
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    Enables any agent to query the same interview corpus as the UI over stdio, exposing tools to list transcripts, search quoted lines, retrieve verified themes with citations and dropped reasons, and fetch source lines.
    17 npm
    MIT
  • A
    license
    Not graded
    quality
    F
    maintenance
    Query iOS App Store revenue and download estimates for any app directly from your agent. Two tools: estimate_app returns monthly revenue and downloads with a confidence label (verified / calibrated / modeled), and search_apps resolves an app name to its App Store id.
    75 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    CNN's Fear & Greed index for the US stock market: current score and rating, the seven component indicators, and about a year of daily history. Go standard library only, no API key required.
    1
    2
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Deterministic US equity-compensation tax optimizer. Six tools cover ISO/AMT exercise scheduling, NSO sell-vs-hold, RSU vest-and-sell, single-stock concentration, protective put / zero-cost collar pricing, and Section 1202 QSBS qualification. Federal plus 50-state plus DC tax math.
    8
    69 npm
    5
    MIT
  • F
    license
    A
    quality
    D
    maintenance
    An MCP-native pipeline for collecting structured intelligence on higher education institutions using the WHED schema, enabling scraping, extraction, validation, and saving of profiles.
    10
    -
  • A
    license
    A
    quality
    C
    maintenance
    This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.
    8
    2
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    MCP server that enables AI assistants to drive systematic literature review workflows, including screening, downloading, converting, and reviewing papers through natural language conversation.
    29
    AGPL 3.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    A self-contained MCP server that gives AI agents the ability to calculate high-precision astronomical data. It provides tropical zodiac coordinates, planetary speeds, retrograde detection, and house cusps using the trusted Swiss Ephemeris engine. 100%
    4
    AGPL 3.0
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables simulation and analysis of M/M/1 and M/M/c queuing systems using SimPy, with tools for parameter validation, theoretical metric calculation, simulation execution, and comparison of separate vs pooled queue strategies.
    MIT