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    maintenance
    Indexes local documents (PDF, Word, Markdown, text) into a SQLite database for AI agents to search and retrieve bounded, source-located passages. Runs fully locally with optional OCR, preserving privacy.
    5
    MIT
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    quality
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    maintenance
    Enables AI assistants to interact with Meilisearch via the Model Context Protocol, allowing comprehensive index, document, and search management through a standardized interface.
    68
    10
    11
    MIT
  • A
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    quality
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    maintenance
    Enables AI agents to query Coveo's unified index for search, passage retrieval, and generative question answering, supporting multiple transport modes for client compatibility.
    2
    MIT
  • A
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    Provides real-time documentation retrieval for coding agents, answering implementation questions with compact, cited context assembled from developer documentation and live web search via a single MCP context tool.
    47
    MIT
  • A
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    quality
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    Enables LLMs to chat with long PDFs using a reasoning-based, tree-structured document index that navigates content like a human would, without requiring vector databases or hitting context limits.
    107
    378
    MIT
  • A
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    quality
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    Index any documentation website and search it from AI coding assistants via the Model Context Protocol (MCP).
    15
    10
    MIT
  • A
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    quality
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    maintenance
    Enables Claude to index and retrieve context from codebases using self-hosted Milvus for semantic search, with hardened reliability and security for production use.
    16
    1
    MIT
  • A
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    quality
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    Enables VS Code Copilot to understand and query codebases through semantic search, call graph analysis, and related file discovery, using a local SQLite index with graph and vector embeddings.
    5
    1
    MIT
  • A
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    A minimal RAG service that exposes a vector index for document retrieval via REST and MCP, allowing querying for relevant document chunks and returning a suggested LLM prompt.
    MIT
  • A
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    quality
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    A private, self-hosted RAG service over MCP that enables document ingestion, hybrid retrieval (BM25 + dense vectors fused with RRF), and notebook management through 14 tools, keeping documents on your own hardware.
    MIT
  • A
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    quality
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    A local-first semantic search server for documents, supporting PDFs, Office files, and text/markdown, enabling natural language search via the Model Context Protocol (MCP).
    1
    MIT
  • A
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    quality
    C
    maintenance
    Semantic search over any markdown corpus using local embeddings. Provides tools to search, reindex, and get index stats, with results including file paths, line numbers, and header breadcrumbs.
    MIT
  • A
    license
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    quality
    A
    maintenance
    Local MCP server to index your codebase once and search it across AI sessions with keyword, semantic, or hybrid search, keeping all data on disk.
    131
    4
    MIT