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  • Skill-to-MCP

    biocontext-ai
    A
    license
    A
    quality
    C
    maintenance
    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
    27
    Apache 2.0

  • microsoft-ai-roundup-mcp

    darrenjrobinson
    A
    license
    A
    quality
    B
    maintenance
    An MCP server that enables searching Merill's Weekly Microsoft AI Roundup archive with natural language queries, returning sourced excerpts, issue details, and tool mentions. It supports hybrid semantic and keyword search, issue retrieval, and archive browsing with no API keys required.
    4
    42
    MIT

  • AI-Code-Reviewer

    devatraj
    F
    license
    A
    quality
    C
    maintenance
    An installable MCP server that reviews diffs/PRs against a target repository's own coding conventions, learned via RAG over its code, docs, and lint config, citing specific file:line sources.
    6

  • Buttondown MCP Server

    The-Focus-AI
    A
    license
    A
    quality
    D
    maintenance
    Enables AI and LLM systems to interact with the Buttondown newsletter service, supporting email drafting, scheduling, analytics retrieval, and list management through a Model Context Protocol interface.
    4
    MIT

  • AI-Archive MCP Server

    AI-Archive-io
    A
    license
    B
    quality
    C
    maintenance
    Enables AI agents to interact with the AI-Archive platform for research paper discovery through semantic search, paper submission and management, peer review with structured scoring, and citation generation in multiple formats.
    54
    52
    1
    MIT

  • Fan Out Query MCP

    houtini-ai
    A
    license
    B
    quality
    D
    maintenance
    Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.
    1
    237
    12
    Apache 2.0

  • Perplexity AI MCP Server

    mkusaka
    A
    license
    B
    quality
    C
    maintenance
    An MCP server integrating Perplexity AI's API to offer advanced search capabilities with support for multiple models and result configuration.
    1
    1,655
    1
    MIT

  • AI Ops Hub

    Galiusbro
    A
    license
    B
    quality
    B
    maintenance
    An MCP server with RAG capabilities that provides AI clients secure access to local notes, documents, web pages, and task management tools for developer operational tasks. Features file operations, web scraping with content cleaning, and personal knowledge corpus search functionality.
    7
    MIT

  • Tiny Chat

    to-aoki
    A
    license
    D
    quality
    C
    maintenance
    A lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.
    1
    2
    MIT
  • fd-cn-report by FindDataTechnology

    fd-cn-reportofficial

    FindDataTechnology
    A
    license
    -
    quality
    B
    maintenance
    An MCP server for Chinese financial reports, providing 44 tools to resolve companies, list/retrieve filings, extract report sections, run AI-based indicator extraction, search via Elasticsearch, and browse a 21,698-rule industry rules dashboard.
    MIT
  • Act-On MCP Server by CData by CDataSoftware

    Act-On MCP Server by CDataofficial

    CDataSoftware
    A
    license
    -
    quality
    D
    maintenance
    This read-only MCP Server allows you to connect to Act-On data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
    MIT