MCP - Model Context Protocol Server
, that provides configured REST API's as context to LLM's.GET/PUT/POST/PATCH
.pip install openapi_mcp_server
OPENAPI_SPEC_PATH
& API_BASE_URL
. Sample file available hereopenapi_mcp_server
server using uv run openapi_mcp_server
from the above folder.{
"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"
}
}
}
}
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)Contributions are welcome.
Please feel free to submit a Pull Request.
This project is licensed under the terms of the MIT license.
mkdir -m777 openapi_mcp_server
cd openapi_mcp_server
uv init
uv add mcp[cli] pydantic python-dotenv requests
uv add --dev twine setuptools
uv sync
uv run openapi_mcp_server
uv build
pip install --force-reinstall --no-deps .\dist\openapi_mcp_server-*fileversion*.whl
export TWINE_USERNAME="rahgadda"
export TWINE_USERNAME="<<API Key>>"
uv run twine upload --verbose dist/*
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