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"Agentic RAG: Understanding or Exploring Its Meaning and Applications" matching MCP servers:

  • Agentic-Investor

    jon-fox
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    Provides comprehensive financial analysis and real-time market data including stock information, options chains, technical indicators, financial statements, earnings calendars, and market sentiment indicators through integration with yfinance and other financial APIs.
    Last updated
    MIT

  • agentic-store-mcp

    agenticstore
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    A collection of self-hosted, open-source tools that enable AI agents to perform web searching, content crawling, and code analysis tasks like linting and security scanning. It provides power-user capabilities for MCP-compatible clients without requiring external accounts or third-party infrastructure.
    Last updated
    4
    MIT
    • Apple
    • Linux

  • MCP-RAG

    ANSH-RIYAL
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    security
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    An agentic AI system that orchestrates multiple specialized AI tools to perform business analytics and knowledge retrieval, allowing users to analyze data and access business information through natural language queries.
    Last updated
    3

  • glowfic-rag

    keenanpepper
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    security
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    Provides semantic search capabilities over glowfic.com content using a pre-built vector database and GTE-Large embeddings. It allows users to query specific continuities and authors through MCP-compatible tools in applications like Claude Code and Cursor.
    Last updated

  • MCP Agentic Framework

    Piotr1215
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    A communication framework that enables multiple AI agents to collaborate through asynchronous messaging, agent registration, and discovery. It facilitates complex task coordination and real-time discussion across distributed agent workflows using the Model Context Protocol.
    Last updated
    9
    10

  • Agentic MCP Server

    ShunsukeHayashi
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    Enables AI-driven orchestration of GitHub development workflows including automated issue analysis, code generation, code review, and PR creation through multiple specialized agents. Integrates with GitHub Actions to automate the complete development process from issue to pull request.
    Last updated
    7
    MIT
    • Apple
    • Linux

  • RAG-MCP Server

    plaban1981
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    security
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    A server that integrates Retrieval-Augmented Generation (RAG) with the Model Control Protocol (MCP) to provide web search capabilities and document analysis for AI assistants.
    Last updated
    4
    Apache 2.0

  • MCP-RAG Server

    sourangshupal
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    security
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    Implements Retrieval-Augmented Generation (RAG) using GroundX and OpenAI, allowing users to ingest documents and perform semantic searches with advanced context handling through Modern Context Processing (MCP).
    Last updated
    5
    • Linux
    • Apple

  • MCP-RAG Server

    felixscherz
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    Connects a RAG application to open-webui using Model Context Protocol (MCP), enabling server-to-client communication for context retrieval and tool usage in remote environments through Server-Sent Events (SSE).
    Last updated
    1

  • 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
    10
    1

  • Markdown RAG

    ashrobertsdragon
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    security
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    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.
    Last updated
    1

  • MCP-RAG

    seanshin0214
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    Turns Claude Desktop into a personal document question-answering system using local vector search. Index PDF, TXT, and Markdown documents into collections and get answers based strictly on your documents with zero hallucination.
    Last updated
    8
    MIT
    • Apple
    • Linux

  • MCP RAG

    kalicyh
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    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.
    Last updated
    10
    5

  • MCP RAG

    santis84
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    A complete MCP server for Retrieval-Augmented Generation with file management and vector memory for agents. Supports multiple document formats (PDF, DOCX, TXT, MD, CSV, JSON) with semantic search using Hugging Face embeddings and ChromaDB for efficient vector storage.
    Last updated
    11
    8
    1
    MIT

  • MCP-RAG

    AnuragB7
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    An MCP-compatible system that handles large files (up to 200MB) with intelligent chunking and multi-format document support for advanced retrieval-augmented generation.
    Last updated
    9
    MIT

  • Shopify Agentic MCP Gateway

    kuro-tomo
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    security
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    quality
    Enables AI agents to autonomously browse inventory, negotiate terms, manage carts, and execute secure payments on Shopify stores using standardized protocols. It provides a bridge for LLMs to handle the entire commerce lifecycle from discovery to order tracking through a verifiable mandate chain.
    Last updated
    5
    2
    MIT

  • RooCode-RAG-Lookup

    Mazchoo
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    security
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    Enables semantic search across documents and code repositories using RAG (Retrieval-Augmented Generation) with vector embeddings. Automatically indexes PDF documents and performs relevance-scored lookups through ChromaDB and sentence transformers.
    Last updated

  • MCP RAG Server

    karaage0703
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    Enables retrieval-augmented generation (RAG) by indexing and searching through documents (Markdown, text, PowerPoint, PDF) using vector embeddings with multilingual-e5-large model and PostgreSQL pgvector. Supports contextual chunk retrieval and incremental indexing for efficient document management.
    Last updated
    70
    MIT

  • RAG MCP Server

    ali-48
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    Combines a knowledge graph with RAG (Retrieval-Augmented Generation) capabilities for semantic code indexing and search. Enables creating entity relationships, managing observations, and performing semantic searches across indexed codebases.
    Last updated
    13

  • local-RAG-backend

    suwa-sh
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    security
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    A Docker-based local RAG backend that provides advanced document search capabilities using vector, graph, and full-text retrieval via the Model Context Protocol. It supports over 28 file formats and tracks evolving relationships between concepts using a Neo4j-backed graphiti implementation.
    Last updated
    1
    MIT

  • MCP-RAG Server

    apatoliya
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    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
    • Linux
    • Apple

  • py-mcp-qdrant-rag

    amornpan
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    security
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    Enables semantic search and retrieval-augmented generation (RAG) using Qdrant vector database. Supports indexing documents from URLs and local directories, with flexible embedding options using Ollama or OpenAI.
    Last updated
    2
    • Apple
    • Linux

  • Crawl4AI RAG MCP Server

    coleam00
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    security
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    Web crawling and RAG implementation that enables AI agents to scrape websites and perform semantic search over the crawled content, storing everything in Supabase for persistent knowledge retrieval.
    Last updated
    2,141
    MIT
    • Linux
    • Apple

  • MCP RAG with ChromaDB

    CyprianFusi
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    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
    MIT
    • Apple

  • Cocktails RAG MCP Server

    00200200
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    Provides cocktail recommendations using a Retrieval-Augmented Generation (RAG) pipeline powered by LangChain, FAISS, and Groq. It enables users to search for cocktail recipes and receive personalized drink suggestions through natural language.
    Last updated
    • Apple

  • Lenny RAG MCP Server

    mpnikhil
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    Provides hierarchical RAG over 299 Lenny Rachitsky podcast transcripts for product development brainstorming and insight retrieval. It enables semantic search across topics, insights, and examples to surface expert advice on product management and growth.
    Last updated
    5

  • RAG Anything MCP Server

    jesse-merhi
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    An MCP server that provides comprehensive multimodal Retrieval-Augmented Generation (RAG) capabilities for processing and querying document directories, supporting text, images, tables, and equations.
    Last updated
    19
    MIT