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"Guide to Using LangChain Correctly" matching MCP servers:

  • Plesk Extensions Guide MCP

    barateza
    A
    license
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    quality
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    maintenance
    Provides semantic search capabilities over the Plesk Extensions Guide documentation using Retrieval-Augmented Generation (RAG) and vector embeddings. It enables AI assistants to retrieve relevant technical information and answer natural language queries regarding Plesk extension development.
    Last updated

  • LangChain Anthropic MCP Server

    spencer-life
    A
    license
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    quality
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    maintenance
    Exposes LangChain and Anthropic Claude capabilities as tools for generating production-ready RAG systems, Supabase vector stores, and document ingestion pipelines. It enables users to instantly scaffold AI infrastructure and document processing code through natural language prompts in MCP-compatible clients.
    Last updated

  • Tiny Chat

    to-aoki
    A
    license
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    quality
    C
    maintenance
    A lightweight RAG system that provides an MCP server for searching and interacting with vector-based knowledge bases. It enables users to perform retrieval-augmented generation and search across Qdrant collections through a standardized interface.
    Last updated
    2
    MIT

  • stock-rag-mcp

    hemanthkumarkp
    F
    license
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    quality
    B
    maintenance
    Enables RAG-based querying of local stock company data using a local LLM and vector database, providing tools to ask questions, search raw chunks, and list documents.
    Last updated
  • @manasdb/mcp-server by manasdb

    @manasdb/mcp-serverofficial

    manasdb
    A
    license
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    quality
    D
    maintenance
    Provides a plug-and-play persistent memory layer for MCP-compatible AI assistants, enabling them to store, retrieve, and delete memories across multiple databases simultaneously using semantic vector search.
    Last updated
    33
    MIT
  • tigergraph-mcp by tigergraph

    tigergraph-mcpofficial

    tigergraph
    A
    license
    -
    quality
    B
    maintenance
    Model Context Protocol (MCP) server for TigerGraph that lets AI agents interact with TigerGraph through the MCP standard using pyTigerGraph's async APIs.
    Last updated
    3
    Apache 2.0

  • TurboQuant Tools

    FreezeVII
    A
    license
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    quality
    C
    maintenance
    MCP server for compressing AI embeddings by 5-7x using TurboQuant (PolarQuant + QJL), with tools to compress, decompress, estimate savings, and embed+compress vectors.
    Last updated
    MIT

  • MCP Memory

    tdyfy9
    A
    license
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    quality
    C
    maintenance
    MCP Memory is a MCP Server that gives clients like Cursor and Claude the ability to remember user preferences and behaviors across conversations using vector search.
    Last updated
    27
    MIT

  • RAG-MCP

    Luxter77
    A
    license
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    quality
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    maintenance
    A Python server that enables retrieval-augmented generation through semantic, question/answer, and style search modalities using PostgreSQL and pgvector for embedding storage and retrieval.
    Last updated
    2
    Apache 2.0

  • ragx

    JIEAO-re
    A
    license
    -
    quality
    C
    maintenance
    RAGX MCP Server enables retrieval-augmented generation with document ingestion, hybrid search, and agentic answering using Claude, exposing tools for querying, searching, and managing documents.
    Last updated
    2
    MIT

  • claude-context

    lbruton
    A
    license
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    quality
    D
    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.
    Last updated
    44
    1
    MIT

  • AVS Document Search System

    patw
    A
    license
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    quality
    D
    maintenance
    A vector search system that enables semantic retrieval of document chunks using MongoDB Atlas Vector Search and Voyage AI embeddings, allowing users to search documents by meaning rather than just keywords.
    Last updated
    2
    MIT