Configure authenticated endpoints and send API requests with uploads.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "api-caller-mcp" yet — see the docs or source repo.
Configure an API endpoint that requires a Bearer token, send a GET request to https://api.example.com/users, and return the status code, headers, and JSON response.
Returns the API result with status, headers, and structured JSON data for authentication debugging.
Send a POST request to https://api.example.com/upload using multipart/form-data, with fields project=demo and version=1.2, and upload the local file report.pdf.
Performs the upload request with form fields and file content, then returns the server response or error details.
First call https://api.example.com/login to get an access token, then use it to send a GET request to /orders, and finally DELETE a specified order, summarizing each step.
Executes multiple API calls in order, handles auth propagation, and provides a step-by-step result summary.
Discover APIs from codebases, run tests, and generate role-based QA audit reports.
Upload Postman assets via MCP and run API tests with managed results.
Turn any OpenAPI API into callable AI tools with authentication support.
Browse Apidog projects and create or update API requests automatically.
Search, discover, and evaluate over 4,000 public APIs quickly.
Connect to the mcp API via MCP to extend AI tool capabilities.