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"Traditional Chinese Medicine or TCM Overview" matching MCP servers:

  • Tea Rags MCP

    artk0de
    A
    license
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    quality
    A
    maintenance
    A high-performance MCP server for semantic search and codebase indexing using the Qdrant vector database. It features optimized embedding pipelines, AST-aware chunking, and git metadata enrichment for fast, privacy-focused local or remote search.
    Last updated
    369
    10
    MIT

  • MCP-Ragdocs

    qpd-v
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    license
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    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
    Last updated
    6
    135
    Apache 2.0

  • mcp-lancedb

    adiom-data
    A
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    quality
    D
    maintenance
    A Model Context Protocol (MCP) server that enables LLMs to interact directly the documents that they have on-disk through agentic RAG and hybrid search in LanceDB. Ask LLMs questions about the dataset as a whole or about specific documents.
    Last updated
    12
    79
    MIT

  • Weaviate MCP Server

    sajal2692
    A
    license
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    quality
    C
    maintenance
    Enables seamless integration with Weaviate vector databases, providing tools for semantic, keyword, and hybrid search across local or cloud instances. It supports schema management, collection retrieval, and multi-tenancy configurations through the Model Context Protocol.
    Last updated
    5
    MIT

  • Elastic Brain ZH

    TocharianOU
    A
    license
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    quality
    D
    maintenance
    An Elasticsearch-based AI memory system optimized for Chinese that enables persistent knowledge storage and complex entity relationship management via the Model Context Protocol. It features advanced semantic search using the IK analyzer and supports multi-zone memory isolation for specialized knowledge graphs.
    Last updated
    14
    MIT

  • MCP Vector Memory

    vertexhub-ai
    A
    license
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    quality
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    maintenance
    Provides AI coding agents with persistent, long-term memory through local semantic search and SQLite storage. It enables agents to save and retrieve architectural decisions or project context across different conversation sessions without requiring cloud services.
    Last updated

  • Notebook Library MCP Server

    clotho2
    A
    license
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    quality
    D
    maintenance
    Provides token-efficient semantic search and document retrieval by indexing PDFs, text, and markdown files into local notebooks using ChromaDB. It enables AI agents to query relevant passages from large documents through local embedding models like Hugging Face or Ollama.
    Last updated
    1
    MIT

  • docs-mcp

    Shreyas-Profile
    A
    license
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    quality
    B
    maintenance
    Upload Word, Excel, PDF, or PowerPoint documents to a vector RAG store with vision-model extraction, then search semantically and retrieve chunks with page numbers for precise citations.
    Last updated
    MIT

  • Context Lens

    cornelcroi
    A
    license
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    quality
    B
    maintenance
    An MCP server that enables semantic search over local files or GitHub repositories by indexing content into a serverless vector database, allowing AI assistants to understand meaning rather than just keywords.
    Last updated
    24
    MIT

  • MCP RAG with ChromaDB

    CyprianFusi
    A
    license
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    quality
    D
    maintenance
    Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, directories, and URLs.
    Last updated
    1
    MIT

  • punt-quarry

    punt-labs
    A
    license
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    quality
    A
    maintenance
    Enables local semantic search over documents (PDFs, code, etc.) using local embedding models, allowing AI agents and users to find information by meaning without API keys or cloud services.
    Last updated
    2
    MIT

  • IMDB MCP

    AlexOBarnes
    F
    license
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    quality
    C
    maintenance
    Enables semantic and similarity search across IMDB movie data using vector embeddings and PostgreSQL with pgvector, supporting traditional filters and hybrid search.
    Last updated