OpenAPI MCP Server

by rahgadda

6 stars

179 downloads

Not rated

GitHub

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About

OpenAPI MCP Server is a Model Context Protocol server that exposes configured REST APIs as context tools for large language models (LLMs). It enables LLMs to interact with REST APIs via natural language prompts, supporting GET, PUT, POST, and PATCH methods.

Details

Author: rahgadda
GitHub stars: 6
Downloads: 179
Categories: Other

- Integrates REST APIs as context for LLMs.
- Supports GET, PUT, POST, and PATCH HTTP methods.
- Configured via environment variables (OPENAPI_SPEC_PATH, API_BASE_URL).
- Optional API headers, operation ID whitelist/blacklist.
- Optional HTTP/HTTPS proxy support.
- Debug logging available (DEBUG environment variable).

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name OpenAPI MCP Server

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

From the repository

Install the package with pip install openapi_mcp_server, then create a .env file with the mandatory OPENAPI_SPEC_PATH and API_BASE_URL variables. Test the server using uv run openapi_mcp_server. For Claude Desktop, add the server configuration to the mcpServers section in the Claude Desktop JSON config, specifying the command uv run openapi_mcp_server and any optional environment variables (e.g., API_HEADERS, API_WHITE_LIST).

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "openapi mcp server": {
            "openapi_mcp_server": {
                "command": "uv",
                "args": [
                    "init"
                ]
            }
        }
    }
}

McpServers

{
    "openapi_mcp_server": {
        "command": "uv",
        "args": [
            "init"
        ]
    }
}

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
- 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 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

bash
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/*

Reference

- UV Overview

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About

Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

OpenAPI MCP Server

Overview

Installation

Claud Desktop

Configuration

Contributing

License

Github Stars

Appendix

UV

Reference

Install

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