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

  • F
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    quality
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    maintenance
    An MCP-based multi-agent retrieval-augmented generation system that enables question answering over academic papers with hybrid search, knowledge graph multi-hop reasoning, and source-cited answers.
  • A
    license
    A
    quality
    A
    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.
    3
    1
    MIT
  • F
    license
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    quality
    D
    maintenance
    An intelligent Retrieval-Augmented Generation (RAG) application that uses the Model Context Protocol (MCP) to automatically decide between searching a private knowledge base or the web.
  • F
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    quality
    B
    maintenance
    MCP server that provides OpenRouter model pricing data, enabling price lookups, trending/cheapest lists, and model searches without an API key.
  • A
    license
    A
    quality
    D
    maintenance
    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.
    14
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    MCP server for persistent, cross-session, local-first memory for AI agents, storing memories as Markdown files with SQLite indexing for hybrid search.
    24
    Apache 2.0
  • A
    license
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    quality
    A
    maintenance
    Enables AI agents to query Austria's entire company register (Firmenbuch) in plain language, providing official master data, annual accounts, and key ratios from a multi-tenant MCP server.
    MIT
  • F
    license
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    quality
    D
    maintenance
    A custom MCP server that turns Claude into an agentic shopping assistant for searching products, comparing options, managing a cart, and checking out with built-in guardrails for safe autonomous commerce.
  • F
    license
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    quality
    B
    maintenance
    Hybrid RAG over Claude Code and Hermes session history via MCP tools for search, ingest, and context injection.
  • F
    license
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    quality
    C
    maintenance
    MCP server for Fathom Works RAG that exposes a self-hosted knowledge base as tools for any MCP-capable LLM to query documents, manage libraries, and ingest files or URLs.
  • F
    license
    A
    quality
    D
    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.
    4
  • A
    license
    A
    quality
    C
    maintenance
    Machine-readable detection lookups for SIEM enrichment and AI agents. Query 800+ LOLBAS and GTFOBins binaries plus process parent-child baselines — get risk levels, abuse categories, and MITRE ATT\&CK mappings without embedding data in prompts.
    6
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    Exposes a RAG document-search API as MCP tools (rag_health, rag_ingest, rag_query), enabling agents to index and search markdown documents with cited results through natural language.
    3
    MIT