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"Exploring RAG through defined workspaces" matching MCP servers:

  • MCP Docs RAG Server

    kazuph
    F
    license
    A
    quality
    F
    maintenance
    A TypeScript MCP server that allows querying documents using LLMs with context from locally stored repositories and text files through a RAG (Retrieval-Augmented Generation) system.
    4
    18

  • MCP RAG Server

    LuizDoPc
    A
    license
    A
    quality
    D
    maintenance
    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.
    4
    115
    MIT

  • Markdown RAG

    ashrobertsdragon
    A
    license
    -
    quality
    D
    maintenance
    A Retrieval Augmented Generation system that enables AI assistants to perform semantic searches and manage document indices for markdown files. It supports PostgreSQL with pgvector and integrates both Google Gemini and Ollama for intelligent embedding generation.
    1
    MIT

  • codebase-rag

    Ar-maan05
    A
    license
    -
    quality
    B
    maintenance
    Enables LLM agents to efficiently understand and navigate a codebase by providing semantic search over symbols and a reference graph, replacing expensive grep/glob calls with structured tools like definition lookup, caller/callee queries, and change-impact analysis.
    1
    MIT

  • code-graph-rag-mcp

    er77
    A
    license
    -
    quality
    F
    maintenance
    A powerful Model Context Protocol server that creates intelligent graph representations of your codebase with comprehensive semantic analysis capabilities, supporting 11 languages and 26 MCP methods.
    94
    121
    MIT

  • Gemini CLI RAG MCP

    pedarias
    A
    license
    -
    quality
    D
    maintenance
    Transforms static gemini-cli documentation into a queryable RAG service, enabling developers to ask questions about Gemini CLI in natural language and receive instant, accurate answers based on the official documentation directly within their workflow.
    8
    MIT

  • Kedro RAG MCP

    SajidAlamQB
    F
    license
    -
    quality
    D
    maintenance
    An MCP server that enables users to query Kedro framework documentation using retrieval-augmented generation. It builds a local knowledge base from documentation files to help users navigate and apply Kedro's data science pipeline framework.

  • code-rag-golang

    nullptr-z
    F
    license
    -
    quality
    C
    maintenance
    AI modifies a function but misses 5 callers that also need updating. crag fixes this — it builds precise call graphs via static analysis, so AI knows exactly what's affected before making changes.
    2

  • Qdrant RAG MCP Server

    ancoleman
    F
    license
    -
    quality
    D
    maintenance
    Enables context-aware semantic search across codebases using Qdrant vector database with intelligent GitHub issue resolution, Projects V2 management, and progressive context retrieval for 95%+ token reduction in AI-assisted development.
    9

  • Godot RAG MCP Server

    weekitmo
    A
    license
    -
    quality
    D
    maintenance
    Provides access to Godot engine documentation through a Retrieval-Augmented Generation (RAG) system using ChromaDB. It enables users to query processed Godot documentation and technical chunks for development assistance within MCP-compatible environments.
    28
    MIT

  • local-rag

    TheWinci
    A
    license
    -
    quality
    A
    maintenance
    Semantic code search for AI agents — hybrid vector + BM25 with cross-encoder reranking, AST-aware chunking for 14 languages, conversation memory, code annotations, and search analytics. Zero config, zero API keys. Just bunx
    96
    29
    Apache 2.0

  • Apple RAG MCP

    devbifta
    F
    license
    -
    quality
    -
    maintenance
    Provides AI agents with instant access to official Apple developer documentation, Swift programming guides, design guidelines, and Apple Developer YouTube content including WWDC sessions. Uses advanced RAG technology with semantic search and AI reranking to deliver accurate, contextual answers for Apple platform development.
    7

  • Apple RAG MCP

    adimowis
    F
    license
    -
    quality
    -
    maintenance
    Provides AI agents with instant access to official Apple developer documentation, Swift docs, design guidelines, and Apple Developer YouTube content through advanced semantic and hybrid search capabilities. Features AI-powered reranking for accurate retrieval of Apple platform knowledge including iOS, macOS, watchOS, tvOS, and visionOS development resources.
    5

  • Modular RAG MCP Server

    IcedVodka
    A
    license
    -
    quality
    D
    maintenance
    A pluggable and observable Retrieval-Augmented Generation framework that exposes hybrid search and document management tools via the Model Context Protocol. It features a complete ingestion pipeline with multi-modal support, automated evaluation using Ragas, and a Streamlit dashboard for real-time tracking.
    1
    MIT