Skip to main content
Glama
74,298 servers. Updated

Matching MCP tools:

Matching MCP Connectors:

"A server to build a knowledge base of Node.js packages with RAG search functionality" matching MCP servers:

  • knowledge-rag

    lyonzin
    A
    license
    A
    quality
    A
    maintenance
    Local RAG system for Claude Code with hybrid search (semantic + BM25), cross-encoder reranking, markdown-aware chunking, and 12 MCP tools. Zero external servers, pure ONNX in-process.
    13
    256
    MIT

  • MCP RAG with ChromaDB

    CyprianFusi
    A
    license
    -
    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.
    1
    MIT

  • MCP RAG Server

    0xrdan
    A
    license
    -
    quality
    C
    maintenance
    Enables AI assistants to search and retrieve information from your knowledge base using RAG (Retrieval-Augmented Generation) with hybrid search, document indexing, and ChromaDB vector storage.
    245
    MIT

  • MCP Knowledge Base

    july090
    A
    license
    -
    quality
    D
    maintenance
    A local knowledge base system based on ChromaDB that supports automatic chunking, vector storage, and efficient similarity retrieval of txt and pdf documents, with MCP protocol support allowing AI assistants to directly access knowledge management functions.
    MIT

  • agentic-rag-knowledge

    jayanthlocam
    A
    license
    -
    quality
    B
    maintenance
    Agentic RAG Knowledge Assistant is a secure, tenant-isolated MCP server built with FastAPI, PostgreSQL, and pgvector that enables document ingestion, semantic retrieval, and vector search over PDF, DOCX, and text files through authenticated MCP tools.
    MIT

  • RAG MCP Server

    sglwsjxh
    A
    license
    -
    quality
    A
    maintenance
    A RAG knowledge base MCP server that adds vector search and reranking capabilities to opencode, supporting multimodal embeddings, multiple knowledge bases, and local storage.
    1
    MIT

  • RAG-MCP Knowledge Base Server

    Luxter77
    A
    license
    -
    quality
    D
    maintenance
    Enables semantic search across text documents using vector embeddings stored in PostgreSQL. Provides multiple search modalities including semantic similarity, question/answer, and style-based search through a retrieval-augmented generation system.
    3
    Apache 2.0

  • rag-mcp

    sakshipr14
    F
    license
    -
    quality
    C
    maintenance
    MCP bridge to a multimodal RAG service, enabling hybrid search and Q&A over documents with tools for knowledge base queries and health checks.

  • MCP RAG

    kalicyh
    F
    license
    A
    quality
    C
    maintenance
    Intelligent knowledge base system that enables users to process documents in 25+ formats, perform semantic search and Q\&A through vector retrieval. Supports multiple AI models including OpenAI and DouBao with local processing capabilities.
    10
    6

  • rag-mcp-server

    weitingyen168
    A
    license
    -
    quality
    C
    maintenance
    RAG document search MCP server that allows AI assistants to search a local document set and retrieve grounded passages via keyword (SQLite FTS5) or semantic (Chroma) backends.
    MIT

  • RAG MCP Server

    tungetti
    A
    license
    -
    quality
    D
    maintenance
    A Model Context Protocol (MCP) server for Retrieval-Augmented Generation (RAG) operations. It provides tools for building and querying vector-based knowledge bases from document collections, enabling semantic search and document retrieval capabilities.
    3
    MIT

  • mcp-rag-bridge

    zyay
    A
    license
    -
    quality
    B
    maintenance
    Enables AI agents to query and manage a document knowledge base via MCP, with RAG-powered search and grounded answers with citations.
    MIT

  • mcp-rag-server

    FORIFOR
    A
    license
    -
    quality
    D
    maintenance
    MCP RAG Server is a Python MCP server that indexes documents in multiple formats (Markdown, text, PowerPoint, PDF) using multilingual-e5-large embeddings and enables vector search for retrieval-augmented generation.
    MIT

  • Modular RAG MCP Server

    sjjjlol
    A
    license
    -
    quality
    D
    maintenance
    A pluggable RAG framework that exposes hybrid search, ingestion, and evaluation tools via the Model Context Protocol, enabling AI assistants like Copilot and Claude to query knowledge bases directly.
    MIT

  • Hybrid RAG MCP Server

    jiarongli517021911144
    A
    license
    -
    quality
    D
    maintenance
    A modular Retrieval-Augmented Generation (RAG) framework that provides hybrid search and knowledge retrieval capabilities via the Model Context Protocol. It enables users to integrate document-based knowledge into LLM workflows with support for dense/sparse retrieval, reranking, and observability.
    1
    MIT