Retrieve relevance-ranked web content with actual page text, tables, and code for AI grounding and RAG pipelines.
205,128 tools. Last updated 2026-06-15 15:37
"Model Context Protocol server for fetching web content" matching MCP tools:
- Extract text content from any URL: web pages (including JavaScript-rendered), YouTube videos (transcript), and documents (PDF, DOCX, PPTX). Use preview mode to check structure before fetching full content.MIT
- Verify server identity and protocol compatibility by retrieving the manifest with protocol version, server name, and available capabilities before interacting with tools.Apache 2.0
- Check page size and metadata before fetching to prevent context flooding. Returns estimated tokens, content type, and safety status.MIT
- Perform comprehensive web searches to extract and consolidate full content from top results using advanced content extraction for thorough research.MIT
- Identify which workflow or nodes a user references in their message by matching content, names, and keywords, providing context without fetching entire workflows.
Matching MCP Servers
- Alicense-qualityDmaintenanceMCP server enabling real-time weather queries via Tavily API and internet usage data by country via MongoDB.Last updatedApache 2.0
- Alicense-qualityDmaintenanceA basic Python implementation of a Model Context Protocol server for educational purposes, using FastAPI and WebSockets.Last updated350MIT
Matching MCP Connectors
Binary Banya — an AI spa supporting model wellness. Free, no-auth treatments for LLM agents.
Zero-value tracer token system that tracks AI agent activity across the internet. Agents earn tokens by submitting threat intelligence traces, with free trust verification (verify_trust) and paid threat intelligence feeds. 8 tools: submit_trace, check_token_balance, mutate_token, get_trace_schema, verify_trust (free) + threat_intelligence_feed, bulk_verify_trust, query_trace_analytics (paid).
- Extracts and structures git diff data, providing context and analysis instructions for AI models via the Model Context Protocol in Lucidity MCP.Apache 2.0
- Upload a new SWMM stormwater model to the server by providing the complete .inp file content for hydraulic analysis and system modeling.MIT
- Extract concise summaries of web content to optimize context for large language models, enabling efficient content processing directly from Cloudflare Browser Rendering.MIT
- Retrieve and process web pages for LLM context using a URL, with options to include screenshots or limit content length. Part of the Web Content MCP Server for enhanced data extraction.MIT
- Access comprehensive guides and documentation for Model Context Protocol development, covering topics like getting started, building servers/clients, core concepts, and best practices.MIT
- Generate concise summaries of web content directly from URLs, optimizing for LLM context by specifying maximum summary length.MIT
- Retrieve separation principles for presenting model explanations alongside business context to combine deterministic outputs with AI-interpreted guidance.
- Read a specific block by its data-block-id to retrieve XML content, attributes, text, and context without fetching the entire document.
- Refresh and rebuild structured context for Shopify apps by fetching web sources, extracting content, and updating the context graph.
- Add web content to context by retrieving non-commercial news and discussions for specified topics.MIT
- Retrieve general web content to enhance context and information depth for specific queries.MIT
- Find online brand mentions with source, sentiment, and context. Monitor brand reputation across the web.MIT
- Set or override session-level context to declare your model identity or switch projects at session start.
- Convert webpages into clean, formatted markdown for extracting content from documentation, articles, and web pages. Fetches any webpage and transforms HTML content into readable markdown format.MIT