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Lets agents extract clean web text and send full HTTP requests efficiently.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-web-fetch" yet — see the docs or source repo.
Read this webpage and extract clean main text for LLM processing, ignoring navigation, ads, and footer: https://example.com/article
Returns clean, well-structured page text ready for summarization, QA, or information extraction.
Send a GET request to this API with header Authorization: Bearer <token>, and return the status code, headers, and JSON body: https://api.example.com/v1/items
Returns the full HTTP response details for API debugging or remote data retrieval.
Visit these three webpages, extract the main text from each, and organize a comparison table with title, key points, and source links for important data.
Outputs a consolidated comparison of multiple webpages for research, competitive analysis, or documentation.
Fetch web content via MCP in HTML, JSON, text, or Markdown.
Search the web, fetch pages, and extract useful online information for AI assistants.
Fetch web pages as markdown for LLM reading, analysis, and automation.
Fetch, render, and extract readable web content into clean Markdown outputs.
Extract clean web content, links, structured elements, and search the web.
Fetch web pages and APIs with custom headers, methods, redirects, and timeouts.