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"A tool to evaluate the suitability of semantic search queries" matching MCP servers:

  • A
    license
    Not graded
    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
    license
    Not graded
    quality
    C
    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
    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
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables semantic code search over local repositories, providing tools like semantic_search and list_indexed_repos to Claude Code, so users can find relevant code sections via natural language instead of grep.
  • A
    license
    A
    quality
    A
    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
    Not graded
    quality
    D
    maintenance
    Enables dynamic tool discovery and loading for Claude using BM25, regex, and semantic search algorithms. It supports managing a catalog of over 10,000 tools with minimal context overhead and provides a REST API for tool management.
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables semantic search over local notes and documents using natural language queries. Supports multiple file types (Markdown, Python, HTML, JSON, CSV, text) with fast local embeddings and persistent ChromaDB vector storage.
    1
  • F
    license
    A
    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
    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
    A
    quality
    C
    maintenance
    Provides MCP tools to search, retrieve, and answer questions from the public Open Finance Brasil Confluence documentation using BM25-based local indexing.
    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
    A
    maintenance
    Enables MCP clients to serve and query semantic models, providing tools for entity descriptions, metric lookups, context resolution, and operation validation for AI agents.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Persistent memory with semantic search for Claude and MCP-compatible clients, storing context that survives conversations and can be retrieved intelligently.
    1
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides a Google search tool via the Serper API, returning structured results and a summary answer for LLMs like Claude.
    1
  • A
    license
    A
    quality
    A
    maintenance
    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