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234,867 tools. Last updated 2026-06-25 10:44

"A server or tool using RAG for documentation scraping, storage, and retrieval with SSE support" matching MCP tools:

  • Execute a complete RAG workflow to answer questions using retrieved context documents. Handles embedding, semantic search, and answer generation with direct quotes.
    MIT
  • Search Redis documentation and knowledge base to find information on concepts, data structures, features, and use cases including caching, session management, and semantic search.
    MIT
  • Search Python library documentation using natural language queries to find specific functions, classes, and usage examples from consolidated sources.
    MIT

Matching MCP Servers

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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
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    Apache 2.0
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    Enables retrieval and cleaning of official documentation content for popular AI/Python libraries (uv, langchain, openai, llama-index) through web scraping and LLM-powered content extraction. Uses Serper API for search and Groq API to clean HTML into readable text with source attribution.
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Matching MCP Connectors

  • Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

  • Generic URL crawl + HTML extraction — fallback for sites without dedicated MCPs.

  • Create a searchable knowledge tool for retrieving documents. Integrates selected knowledge folders into a custom tool for RAG-based document search.
    MIT
  • Query with RAG-enhanced context from xAI Collections, leveraging a LAZY-RAG cache to speed up repeated questions.
    MIT
  • Search and filter RAG-capable MCP servers by query, categories, score, transport, and other criteria to find the right retrieval server for your task.
    MIT
  • Check real-time train ticket prices for routes in Spain. Uses web scraping to provide actual pricing with pagination support.
    MIT
  • Discover available tools from any MCP server by specifying its command or URL. Returns tool names, descriptions, and input schemas for integration planning.
    MIT
  • Provides onboarding guidance for using the Memento memory system, including retrieval flows, storage protocols, and best practices for persistent project context.
    MIT
  • Retrieve metadata for a live incident stream, including endpoint URL, payload schema, reconnect policy, and event-rate statistics, to prepare for SSE feed subscription.
    MIT
  • Retrieve official Python documentation pages or specific sections by slug and version. Supports pagination and anchor-based section-only retrieval for compact answers.
    MIT