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  • A
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    Reduces token consumption by over 80% through intelligent file caching, returning only diffs for modified files and suppressing unchanged content. It features a suite of 12 tools for semantic search, batch reading, and efficient file editing to optimize LLM interactions with large codebases.
    13
    2
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    A local MCP server that provides semantic code search for Python codebases using tree-sitter for chunking and LanceDB for vector storage. It enables natural language queries to find relevant code snippets based on meaning rather than just text matching.
    3
    3
  • A
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    maintenance
    Local semantic recall MCP server for citation-integrity workflows. Enables semantic search over a text corpus, returning file paths and page numbers for verification, with 100% local processing using ONNX embeddings and LanceDB.
    2
    1
    MIT
  • F
    license
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    quality
    B
    maintenance
    Enables semantic search over local markdown specs, RFCs, and docs using Ollama and LanceDB, allowing AI agents to find relevant information by meaning rather than exact keywords.
    3
  • A
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    quality
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    maintenance
    A read-only PostgreSQL MCP server for AI coding agents that exposes database schema and sample data as tools, with LLM-powered semantic search enriched by a user-authored semantic layer.
    4
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    A self-hosted semantic code retrieval MCP server that enables natural language queries to find relevant code snippets using Tree-sitter AST parsing, embedding, and hybrid search with reranking.
    1
    2
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    A persistent memory layer for Claude Desktop that enables semantic search and CRUD operations on your Obsidian vault using local embeddings and PostgreSQL+pgvector.
    1
    Apache 2.0
  • A
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    quality
    B
    maintenance
    Enables fully local semantic search over a Roam Research graph via MCP, providing tools for hybrid retrieval, index refresh, and stats while keeping all content on-machine.
    1
    MIT
  • A
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    quality
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    maintenance
    Local offline semantic search over documents (txt, md, pdf, docx, pptx, csv). Indexes folders into a LanceDB vector database with multilingual embeddings and supports hybrid vector + keyword search via Reciprocal Rank Fusion. No API keys, no cloud, no Docker required.
    28
    AGPL 3.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Persistent semantic memory server for AI assistants via MCP, enabling long-term context retention and semantic search across conversations.
    11
    MIT
  • A
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    Not graded
    quality
    B
    maintenance
    A tiny RAG-lite retrieval engine that indexes files on disk and provides semantic search via MCP, returning relevant text chunks (file, line, score) without generating answers.
    MIT
  • A
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    quality
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    maintenance
    A lightweight, context-efficient CLI and optional stdio MCP server for semantic search, browsing, and writing to your Zotero library.
    BSD 3-Clause
  • A
    license
    Not graded
    quality
    F
    maintenance
    Persistent semantic memory for AI agents using PostgreSQL and vector embeddings, enabling cross-session continuity and semantic search.
    AGPL 3.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    A vendor-neutral, release-aware context contract and MCP runtime that provides reliable data agents with compact metadata, semantic definitions, and validated SQL compilation.
    72
    1
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    An unofficial MCP server that provides semantic search capabilities for Hugging Face models and datasets, enabling Claude and other MCP-compatible clients to search, discover, and explore the Hugging Face ecosystem using natural language queries.
    20
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables semantic search of Salesforce case summaries using embeddings, accessible via MCP tools and REST API.
    23
    Apache 2.0