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Fetch web content via MCP in HTML, JSON, text, or Markdown.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Web Fetch MCP Server" yet — see the docs or source repo.
Use the Web Fetch MCP Server to fetch the Markdown content of this webpage: https://example.com/article, and limit the response to the first 5000 characters.
Returns the webpage body as Markdown text for reading, summarization, or further analysis.
Use the Web Fetch MCP Server to request this API: https://api.example.com/data, return the result in JSON format, and keep the response headers.
Returns structured JSON data and related response details for programmatic processing or extraction.
Use the Web Fetch MCP Server to fetch https://example.com with a custom header User-Agent: Mozilla/5.0, return plain text content, and extract 2000 characters starting from character 1000.
Returns the plain-text webpage content for the specified range, useful for segmented collection or debugging.
Fetch web content and return it in HTML, JSON, text, or Markdown.
Fetch web pages as markdown for LLM reading, analysis, and automation.
Fetch web content in multiple formats with extraction, chunking, and browser automation.
Fetch web pages and APIs with custom headers, methods, redirects, and timeouts.
Fetch web pages as Markdown for compliant collection, processing, and analysis.
Lets agents extract clean web text and send full HTTP requests efficiently.