Uses environment variables for configuration management, allowing users to specify API endpoints, credentials, and other settings through a .env file.
Leverages Pydantic for data validation and parsing of API request/response models defined in OpenAPI specifications.
Enables interaction with RESTful APIs defined in Swagger/OpenAPI specifications, supporting GET, PUT, POST, and PATCH operations. The example demonstrates integration with the Swagger Petstore API, including operations like addPet, updatePet, and findPetsByStatus.
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
- Create .env in a folder with minimum values for
OPENAPI_SPEC_PATH
&API_BASE_URL
. Sample file available here - Test
openapi_mcp_server
server usinguv run openapi_mcp_server
from the above folder.
Claud Desktop
- Configuration details for Claud Desktop
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 Listed operationId in list format ["operationId3", "operationId4"] (optional)HTTP_PROXY
: HTTP Proxy details (optional)HTTPS_PROXY
: HTTPS Proxy details (optional)NO_PROXY
: No Proxy details (optional)
Contributing
Contributions are welcome.
Please feel free to submit a Pull Request.
License
This project is licensed under the terms of the MIT license.
Github Stars
Appendix
UV
Reference
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Model Context Protocol Server that enables LLMs to interact with and execute REST API calls through natural language prompts, supporting GET/PUT/POST/PATCH operations on configured APIs.
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