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Let AI agents send HTTP requests to any URL and retrieve responses.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-http-request" yet — see the docs or source repo.
Send a GET request to http://localhost:3000/api/health and return the status code, headers, and a summary of the response body. If it fails, explain possible reasons.
Response details for the local endpoint, plus troubleshooting suggestions if it fails.
Send a POST request to https://api.example.com/v1/orders with the JSON body {"productId":"A123","quantity":2}, and show the order ID and status from the response.The API result with key business fields extracted for review or follow-up processing.
Request http://internal-service:8080/status and http://internal-service:8080/metrics in sequence, compare whether both respond normally, and summarize the current service status.
A comparison of availability for both internal URLs and an overall health summary.
Let AI send flexible HTTP API requests to connect services and automate workflows.
Use a full HTTP client to test APIs, compare environments, and infer types.
Search the web locally and generate grounded answers with an Ollama model.
Deploy MCP servers over HTTP for AI-accessible text, math, and content tools.
Let LLMs make secure HTTP requests with auth, retries, and debugging support.
Chat with an AI agent, get weather data, and monitor agent status via MCP.