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# OpenAPI MCP Server [](https://smithery.ai/server/@rahgadda/openapi_mcp_server) ## Overview - This project will install `MCP - Model Context Protocol Server`, that provides configured REST API's as context to LLM's. - Using this we can enable LLMs to interact with RestAPI's and perform REST API call's using LLM prompts. - Currently we support HTTP API Call's `GET/PUT/POST/PATCH`. ## Installation - Install package ```bash pip install openapi_mcp_server ``` - Create .env in a folder with minimum values for `OPENAPI_SPEC_PATH` & `API_BASE_URL`. Sample file available [here](https://raw.githubusercontent.com/rahgadda/openapi_mcp_server/refs/heads/main/.env) - Test `openapi_mcp_server` server using `uv run openapi_mcp_server` from the above folder. ## Claud Desktop - Configuration details for Claud Desktop ```json { "mcpServers": { "openapi_mcp_server":{ "command": "uv", "args": ["run","openapi_mcp_server"] "env": { "DEBUG":"1", "API_BASE_URL":"https://petstore.swagger.io/v2", "OPENAPI_SPEC_PATH":"https://petstore.swagger.io/v2/swagger.json", "API_HEADERS":"Accept:application/json", "API_WHITE_LIST":"addPet,updatePet,findPetsByStatus" } } } } ```  ### Configuration - List of available environment variables - `DEBUG`: Enable debug logging (optional default is False) - `OPENAPI_SPEC_PATH`: Path to the OpenAPI document. (required) - `API_BASE_URL`: Base URL for the API requests. (required) - `API_HEADERS`: Headers to include in the API requests (optional) - `API_WHITE_LIST`: White Listed operationId in list format ["operationId1", "operationId2"] (optional) - `API_BLACK_LIST`: Black Lis…
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