Scrape a public URL to create a searchable knowledge base. Extracts content from web pages (including JavaScript-rendered), chunks it, and indexes for RAG.
MIT
558,542 tools. Updated 2026-09-13 09:48
"A server/tool for RAG-based documentation scraping and retrieval with SSE support" matching MCP tools:
- Create a searchable knowledge base from plain text, automatically chunked and indexed for RAG retrieval. Ideal for FAQs, product specs, and policies.MIT
- Ask natural-language questions and receive grounded, cited answers from Calypso's knowledge base, with support for file IDs and multi-turn follow-ups.MIT
- Retrieve the input schema and documentation for any cataloged government data tool before calling it, so requests are correctly shaped.MIT
- Create a named document collection to group related evidence bundles for cross-document semantic search and RAG-based Q&A.MIT
- Find relevant Redis documentation and knowledge base articles by asking questions about concepts, data structures, features, and common use cases like caching, rate limiting, and RAG.MIT
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Matching MCP Connectors
SSE Accept hint
Generic URL crawl + HTML extraction — fallback for sites without dedicated MCPs.
- Search Apify and Crawlee docs via full-text queries to find relevant pages on platform features, SDKs, CLI, REST API, and web scraping libraries.MIT
- Perform semantic search over a stored memory namespace to retrieve the most relevant entries. Use this to recall context for RAG pipelines.MIT
- Check the current status of the RAG documentation index, including total chunks, configured sources, and last update times.Apache 2.0
- Search Python library documentation using natural language queries to find specific functions, classes, and usage examples from consolidated sources.MIT
- Create documentation nodes with markdown and LaTeX support for mathematical formulas, rich text content, and project tracking in visual workflows.-
- Get precise answers to any question about Lamatic.ai documentation by searching all indexed docs with RAG.MIT
- Find document types semantically similar to a query via multilingual semantic search. Matches by meaning, not exact text, using RAG-based embeddings.MIT
- Retrieve current connection status, latency, and version details for Memory Server, RAG Server, and Google services to verify service availability.MIT
- Extract clean content from a public URL, returning Markdown, text, metadata, links, JSON-LD schema, and sections for scraping, RAG ingestion, or content analysis.MIT
- Create a searchable knowledge tool for retrieving documents. Integrates selected knowledge folders into a custom tool for RAG-based document search.MIT
- Add knowledge entries to a RAG system to store insights, tips, and best practices. Categorize and tag them for efficient retrieval.MIT
- Verify RAG and Memory server availability, including collection and schema auto-creation status. Use detailed mode for protocol and latency details.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
- Exit the server with code 0 to trigger a process manager restart, loading updated code and tools after SSE reconnection.MIT