ModelContextProtocol-Agent-Example

# Model Context Protocol [Model Context Protocol (MCP)](https://modelcontextprotocol.io) is a standardized way to provides tools to an LLM. ## Application This demo showcases a simple agent application (in german language) that uses the Model Context Protocol to provide tools to an LLM. The tools are provided through a server which can be found at `mcp_example/mcp_server.py`. These contain a web search, a wikipedia search and a function for the current daytime. The MCP client is located at `mcp_example/mcp_client.py` and can connect to the server. The agent, which uses the MCPClient to connect to the MCP server is located at `mcp_example/mcp_agent.py`. It contains a german agent, which answers questions in german language using OpenAI GPT-4o-mini. ## Requirements Install the requirements: ```bash #poetry poetry install #or with pip pip install -e . ``` The MCP server needs to be started before the agent can be used. The server can be started with the following command: ```bash python mcp_example/mcp_server.py ``` The agent uses the OpenAI API, for which the endpoint and api key need to be set as environment variables. ```bash OPENAI_ENDPOINT=<your_openai_endpoint> OPENAI_API_KEY=<your_openai_api_key> ``` Afterwards, the agent can be started with the following command: ```bash python -m mcp_example ```