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Let AI call any REST API and extract concise typed results.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "rest-api-mcp" yet — see the docs or source repo.
Use rest-api-mcp to call this weather REST API: https://api.example.com/weather?city=Shanghai. Send a GET request, extract temperature, weather description, and humidity, then return a short English summary.
Returns key API fields and a readable weather summary.
Use rest-api-mcp to request this user endpoint: https://api.example.com/users/42. Generate TypeScript type definitions from the response, including optional fields and nested structures.
Outputs draft TypeScript interfaces based on the actual response.
Use rest-api-mcp to call the order REST API: https://api.example.com/orders/last. The response may be long, so extract only order ID, customer name, total amount, payment status, and order time, then return them as JSON.
Returns compact structured JSON with only the most important business fields.
Convert OpenAPI specs into MCP servers so AI agents can call APIs.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.
Turn REST and OpenAPI endpoints into MCP tools for LLM clients.
Generate MCP tools from OpenAPI specs for natural-language API interaction.
Turn existing APIs and databases into MCP tools for direct AI use.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.