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Fetch HTTP resources via MCP for testing, retrieval, and automation.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Fetch Http" yet — see the docs or source repo.
Use the Fetch Http tool to request this endpoint: https://api.example.com/status, then return the status code, headers, and a summary of the response body.
Returns the HTTP status details, key response headers, and a summary of the body content.
Use Fetch Http to fetch this webpage: https://example.com, and extract the page title, main text content, and all top-level links.
Outputs the page title, a summary of the main content, and a list of major links on the page.
Use Fetch Http to access this JSON data source: https://example.com/data.json, verify that it is reachable, and summarize its field structure.
Provides the access result, an availability check, and an overview of the JSON field structure.
Fetch web content via MCP in HTML, JSON, text, or Markdown.
Fetch web pages and APIs with custom headers, methods, redirects, and timeouts.
Lets agents extract clean web text and send full HTTP requests efficiently.
Fetch web pages as markdown for LLM reading, analysis, and automation.
Fetch web content and return it in HTML, JSON, text, or Markdown.
Access and manage HTTP tools and APIs through a unified MCP interface.