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"Information about RAG (Retrieval-Augmented Generation)" matching MCP servers:

  • Retrieval-Augmented Thinking

    stat-guy
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    quality
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    maintenance
    Enhances AI model capabilities with structured, retrieval-augmented thinking processes that enable dynamic thought chains, parallel exploration paths, and recursive refinement cycles for improved reasoning.
    Last updated
    1
    24
    MIT

  • rag-retrieval-mcp

    MaryamZi
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    Enables retrieval-augmented generation by embedding queries with a chosen provider (e.g., OpenAI) and searching supported vector stores (Pinecone, pgvector) to return relevant content.
    Last updated
    1
    Apache 2.0

  • about-utkarsh-mcp

    utkarsh21123
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    quality
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    maintenance
    An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.
    Last updated
    6

  • retrieval-lens

    Vbj1808
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    maintenance
    A black-box flight recorder for RAG retrieval inside MCP agents. Logs what chunks the model saw, scores, sources, and rankings - so you can audit, replay, and diff retrieval runs after the fact.
    Last updated
    4
    28
    2
    MIT

  • All About Ads MCP

    rugvedp
    F
    license
    A
    quality
    B
    maintenance
    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
    Last updated
    11

  • MCP RAG Server

    LuizDoPc
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    Provides local Retrieval-Augmented Generation (RAG) capabilities using Ollama for embeddings and ChromaDB for vector storage. It enables users to ingest and perform semantic searches across PDF, Markdown, and TXT documents within MCP-compatible clients.
    Last updated
    4
    34
    1
    MIT

  • MCP-RAG Server

    apatoliya
    F
    license
    C
    quality
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    maintenance
    A server that implements Retrieval-Augmented Generation using GroundX and OpenAI, enabling semantic search and document retrieval with Modern Context Processing for enhanced context handling.
    Last updated
    3

  • Agentic RAG MCP

    enached134-ctrl
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    license
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    quality
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    maintenance
    A multi-agent Retrieval-Augmented Generation system exposed as an MCP server. Ask a question and a LangGraph pipeline plans the retrieval, pulls evidence from a pgvector knowledge base, optionally augments it with live web research, drafts a cited answer, and then self-critiques it for grounding — revising until the answer is supported by the sources.
    Last updated
    3
    1
    MIT

  • rag-mcp

    Kamalesh-Kavin
    F
    license
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    quality
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    maintenance
    Enables indexing local documents (PDF, Markdown, text, code) into a knowledge base and querying them via semantic search using local embeddings, all running privately on your machine.
    Last updated
    4

  • local-Rag

    zongzi-zongzhi
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    license
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    quality
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    maintenance
    A local-first document retrieval MCP server that enables AI coding tools like Codex to search private local documents via semantic search and keyword boost, supporting ingestion of PDF, DOCX, TXT, Markdown, and HTML files.
    Last updated
    7
    MIT

  • OnMind-RAG

    kaesar
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    license
    A
    quality
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    maintenance
    A lightweight knowledge base MCP server that enables full-text search and retrieval of markdown documents from indexed sites using Orama BM25.
    Last updated
    7
    Apache 2.0

  • rag-mcp

    NextLevelManagementAdvisors
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    license
    A
    quality
    B
    maintenance
    Enables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.
    Last updated
    4
    AGPL 3.0