$ loading_
Let LLMs make secure HTTP requests with auth, retries, and debugging support.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "http-mcp" yet — see the docs or source repo.
Use http-mcp to obtain an OAuth2 access token and request this user profile endpoint: https://api.example.com/user/profile. Retry up to 3 times on failure and return a response summary.
Returns the authenticated API response, retry results, and a brief content summary.
Use http-mcp to send a POST request with a JSON body to https://api.example.com/orders and generate an equivalent cURL command for local debugging.
Returns the request result along with a directly usable cURL command for debugging.
Use http-mcp to access a page that requires login state, preserve session cookies, fetch the page HTML, and check whether the request was blocked by security policies.
Returns the page content, session-based request results, and any relevant security blocking details.
Let AI send flexible HTTP API requests to connect services and automate workflows.
Let AI agents send HTTP requests to any URL and retrieve responses.
Use a full HTTP client to test APIs, compare environments, and infer types.
Deploy MCP servers over HTTP for AI-accessible text, math, and content tools.
Fetch HTTP resources via MCP for testing, retrieval, and automation.
Quickly integrate and test MCP features with demo tools and resources.