OpenAPI Korea

Launches an OpenAPI Korea MCP Server to access and test data sources via a local MCP client.
  • python

0

GitHub Stars

python

Language

7 months ago

First Indexed

3 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs
{
  "mcpServers": {
    "ggumgil-openapi_korea_mcp_server": {
      "command": "python3",
      "args": [
        "src/openapi_korea/server.py"
      ]
    }
  }
}

You can run and interact with the OpenAPI Korea MCP Server locally. This server exposes APIs from OpenAPI Korea data sources and lets you verify functionality by running a built-in test. Use a local MCP client to connect via a standard input/output (stdio) lifecycle, start the server, and run tests to confirm it is operating correctly.

How to use

To use the OpenAPI Korea MCP Server, start the local server in your Python environment and connect an MCP client to it. You will run the server in a virtual environment, then execute a test script to verify normal operation. Once the server is up, you can issue queries from your MCP client (or test script) to retrieve data such as OpenAPI Korea sources, testing endpoints, and other available actions.

Typical usage flow you will follow: create and activate a Python virtual environment, install the MCP runtime and dependencies, start the MCP server, and run the test script to confirm the server starts correctly. If you need to connect to this server from another MCP client, configure the client to communicate with the local stdio server as described in the configuration block below.

How to install

Prerequisites you need installed on your machine before starting:

  • Python 3.x and a virtual environment tool (venv)

  • pip for installing Python packages

Step-by-step commands you should run exactly as shown below to set up and start the server on Windows or macOS/Linux as appropriate.

# 1) Create a Python virtual environment
python3 -m venv venv

# 2) Activate the virtual environment
# Windows:
venv\Scripts\activate.bat
# macOS / Linux:
source venv/bin/activate

# 3) Install required Python packages
pip install mcp pydantic

# 4) Navigate to the openapi_mcp_server area if required (follow your project layout)
# Ensure you are in the folder that contains the OpenAPI Korea MCP Server starting script

# 5) Start the MCP server using Python
python3 src/openapi_korea/server.py

# 6) Run the MCP server test to confirm operation
python3 test_mcp_server.py

Note: The exact folder names and file paths may differ in your environment; ensure you run the start script that launches the OpenAPI Korea MCP Server and the test script that validates it. If you have multiple Python installations, verify you are using the intended python3 executable that resides in your active virtual environment.

## Additional sections

Configuration notes
- The server is started via a Python command, so you must ensure the correct Python interpreter from your active virtual environment is used. If multiple Python installations exist, the virtual environment helps isolate dependencies and avoids conflicts.

Security and access
- Since this is a local development server, keep it within a trusted network and avoid exposing it publicly without proper authentication, authorization checks, and rate limiting. Treat this as a development or testing endpoint rather than a production API.

Troubleshooting tips

  • If the server does not start, confirm the virtual environment is active and that the correct python3 is being invoked. On Windows, ensure you run the activate script from the venv. On macOS/Linux, ensure you sourced the activate script. If you see module not found errors for mcp or pydantic, rerun the pip install command inside the active virtual environment.

Testing and validation
- After starting the server, run test\_mcp\_server.py to verify the server reports a successful startup and basic endpoints respond as expected. If tests fail, check for path issues, missing dependencies, or mismatched Python versions.
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