Other MCP Server · MODEL CONTEXT PROTOCOL
eternachen mcp playground
mcp playground
WHAT IT CONNECTS
What eternachen mcp playground gives an AI Agent
- Connects to an MCP server to list available tools.
- Queries weather information for a specified city.
- Displays formatted weather information including temperature, humidity, wind speed, and weather description.
- Python 3.8+
- `openai` library
- `dotenv` library
- `mcp` library
- Clone the repository:
- Create a virtual environment and activate it:
- Install the required dependencies:
- Create a `.env` file in the root directory and add your OpenAI API key and other configurations:
- Start the MCP server:
- Run the client and connect to the server:
- Interact with the client:
- Type the name of the city in English to get the weather information.
- Type `quit` to exit the client.
- `server.py`: Contains the MCP server implementation and weather query tool.
- `client.py`: Contains the MCP client implementation to interact with the server.
- `.env`: Environment variables for API keys and configurations.
- `.gitignore`: Specifies files and directories to be ignored by git.
- `README.md`: Project documentation.
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.