What MCP servers are included?
Three servers: weather_server.py, math_server.py, and telemetry_server.py.
@jspoelstra
Basic information
Testing creation of simple MCP servers and integrating with LangChain agent
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcd-demo": {
"command": "python3",
"args": [
"-m",
"venv",
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
mcd-demo is a project for testing the creation of simple MCP (Model Context Protocol) servers and integrating them with a LangChain agent. It is aimed at developers experimenting with MCP server implementations and LangChain agent integration.
Set up a Python virtual environment, install dependencies from requirements.txt, and configure environment variables for Azure OpenAI API key and endpoint. Then start the three MCP servers (weather_server.py, math_server.py, telemetry_server.py) in the background, optionally running the math server via Docker, and finally launch the agent with python agent.py.
Three servers: weather_server.py, math_server.py, and telemetry_server.py.
Yes, you can build a Docker image with `make build` and run it with `make run-local`.
`AZURE_OPENAI_API_KEY` and `AZURE_OPENAI_ENDPOINT` are required. Optionally, `MCP_MATH_URI` can be set to configure the math server URI.
Use `pkill -9 -f <server_script.py>` on each server, e.g., `pkill -9 -f weather_server.py`.
Yes, variables can be set in a `.env` file in the project root directory.
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