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  • A
    license
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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
    28
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Privacy-first local document search using semantic search. Runs entirely on your machine with no cloud services, supporting PDF, DOCX, TXT, and Markdown files.
    22
    9
    8,055 npm
    403
    MIT
  • A
    license
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    quality
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    maintenance
    A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.
    7
    MIT
  • A
    license
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    quality
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    maintenance
    MCP server that enables local hybrid semantic and keyword search over private PDF, DOCX, Markdown, and text documents without sending data to embedding APIs.
    9
    8,055 npm
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    Enables developers to index and search their own local PDF, DOCX, Markdown, and text documents from an MCP client or terminal, combining semantic similarity with keyword matching for exact technical terms. Everything runs on the user's machine with no API key, Docker, or external database, so private documents stay private and work offline after the initial model download.
    9
    8,055 npm
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    A fully local RAG MCP server for semantic code search and code intelligence, using AST-level chunking and hybrid search to pinpoint functions, classes, and APIs. No cloud, no API keys, zero setup.
    16
    61 npm
    13
    MIT
  • F
    license
    B
    quality
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    maintenance
    A local-first MCP server for PageIndex — the vectorless, reasoning-based RAG framework. It lets local AI agents index and query local PDF and Markdown documents through a self-hosted PageIndex installation, without requiring any PageIndex cloud API key.
    8
    2
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  • A
    license
    B
    quality
    A
    maintenance
    Local-first temporal knowledge graph with six read-only MCP retrieval tools. Supports Ollama and embedded LadybugDB; additions use a separate CLI proposal queue with human approval and explicit application.
    6
    1
    Apache 2.0
  • F
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    B
    quality
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    maintenance
    Enables MCP clients to administer a local LM Studio instance: loading, estimating, downloading, configuring and unloading models, running chat and embedding inference, diagnosing the server, engines and hardware, and managing MCP connectors with conflict-safe configuration. It also builds a local document index supporting citation-checked search and answers grounded in TXT, Markdown, PDF and DOCX files.
    28
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  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to perform semantic, hybrid, and filtered search on indexed local documentation with RAG capabilities.
    2
    MIT
  • A
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    Not graded
    quality
    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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    Not graded
    quality
    C
    maintenance
    Enables read-only semantic search over a local document corpus with on-device embeddings and a local Chroma store, featuring symlink-hardened file access and structured error handling.
    MIT
  • A
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    Not graded
    quality
    C
    maintenance
    A headless local knowledge library and RAG substrate that enables LLM clients to search, retrieve chunks, and list documentation packs through read-only MCP tools.
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    Provides persistent long-term memory and local RAG document search for Claude Desktop, fully offline. Enables memory save/search and document retrieval via MCP.
    MIT
  • A
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    Not graded
    quality
    D
    maintenance
    A Model Context Protocol server implementing Graph RAG with local, embedded Knowledge Graph using FAISS for vector search and NetworkX for graph traversal, enabling hybrid retrieval through anchor discovery and relationship expansion.
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Local-first realtime web research MCP for LM Studio with keyless SearXNG, clickable citations, adaptive deep research, provider health, and one-click Windows startup.
    MIT