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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.
Connect LLMs to any OpenAPI REST API with natural language.
Convert REST APIs into MCP tools for direct AI client access.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.
Turn existing APIs and databases into MCP tools for direct AI use.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Turn OpenAPI specs into MCP servers for LLM access to REST APIs.