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    license
    A
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    maintenance
    Enables AI coding agents to look up live JDK javadoc, Spring Boot reference sections, and Maven Central artifact metadata as clean markdown. It provides ranked search, caching, robots-aware throttling, and errors returned as suggestions instead of raising into the MCP layer.
    11
    MIT
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    license
    A
    quality
    B
    maintenance
    Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.
    5
    1
    MIT
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    license
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    quality
    D
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    MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.
    1
    0
    4
    MIT
  • A
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    A
    maintenance
    Enables agents to perform local hybrid code search and code intelligence across a workspace, including semantic and full-text search, symbol lookup, file outlines, and caller analysis.
    MIT
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    B
    maintenance
    Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.
    2
    MIT
  • A
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    quality
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    maintenance
    A collection of simple, practical MCP servers that require zero configuration, enabling web search via DuckDuckGo (no API key needed) and management of Hexo blogs through AI.
    3
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    Provides semantic code search and code insights via a knowledge graph, enabling AI to understand, navigate, and modify complex projects with deep dependency and architecture analysis.
    MIT
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    quality
    A
    maintenance
    Enables coding agents to find code by what it does rather than what it's called, searching local projects and remote GitHub or Bitbucket repositories all at once. Indexing and semantic search run fully offline with a locally loaded model, so code never leaves the machine.
    344 PyPI
    Apache 2.0
  • A
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    Not graded
    quality
    C
    maintenance
    A multi-function Streamable HTTP MCP tool aggregation server that provides web search via Brave, Exa, and SearXNG with multi-key rotation and cross-provider fallback, and supports extensible tool families (URL fetch, code search, RAG) through a pluggable architecture.
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    Enables agents to look up Indiana state statutes by citation, run full-text topic searches, and retrieve historical per-year annual editions of the code, with amendment-history notes split out from section text. Covers all 37 Indiana Code titles from the official state legislature source without requiring an API key.
    223 npm
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables semantic code search across indexed code folders using vector embeddings, with support for multiple embedding providers and automatic file watching. Provides an admin UI and integrates with MCP clients for natural language code queries.
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Semantic + lexical code search as an MCP server. Agents query in natural language and get back ranked file:line ranges to read precisely.
    7 npm
    1
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    MCP tool server that gives any AI agent the ability to search, scrape, and analyze content across the internet.
    42
    MIT
  • A
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    Not graded
    quality
    A
    maintenance
    Enables clinical question answering via OpenEvidence with citation verification, including tools to ask questions, retrieve results, and follow up, plus an integrated skill to check citations against primary sources.
    8
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.
    17
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