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Send configurable HTTP requests and fetch raw responses for LLM agents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fetch-url-raw" yet — see the docs or source repo.
Use fetch-url-raw to send a GET request to https://api.example.com/status, return the raw response body, and set a 10-second timeout.
The tool returns the raw response content and completes the request with the specified timeout.
Use fetch-url-raw to send a GET request to https://api.example.com/data, add Authorization and Accept headers, and keep redirect handling enabled.
The tool returns the raw response for the request with custom headers, useful for auth or content-negotiation debugging.
Use fetch-url-raw to send a POST request to https://api.example.com/submit with a JSON body and a response size limit.
The tool returns the raw response for the POST request while enforcing the configured response size limit.
Developers can use it to send custom methods, headers, and bodies to external APIs and inspect raw responses. This helps diagnose authentication, timeout, or redirect issues more quickly.
When an agent needs to access arbitrary HTTP resources, this stateless tool provides configurable request handling. It is useful when timeout, response size, or TLS verification behavior must be controlled.
DevOps or QA teams can use response size limits, redirect control, and DNS overrides to validate service behavior under different network conditions. It fits basic request-path verification.
It is a stateless MCP server that provides a configurable HTTP client tool for LLM agents. It supports custom methods, headers, bodies, timeouts, redirects, response size limits, DNS overrides, and TLS verification.
Based on the description, it can control methods, headers, bodies, timeouts, redirects, response size limits, DNS overrides, and TLS verification. For exact parameter formats, see the source repository.
The provided documentation excerpt is empty, so installation steps, runtime requirements, or any extra credentials cannot be confirmed here. See the source repository for details.
Lets agents extract clean web text and send full HTTP requests efficiently.
Fetch web pages and APIs with custom headers, methods, redirects, and timeouts.
Fetch web pages as markdown for LLM reading, analysis, and automation.
Fetch web pages for AI agents with fallback engines and clear block detection.
Fetch raw HTML from URLs to give LLMs accurate web context.
Fetch web pages as Markdown with chunked reading for long content.