Which integrations are available for this server?

Integrates with OpenAI's API to provide LLM capabilities that can be queried through the MCP server, allowing for tools like weather information retrieval to be called via the client interface.

How do I use Customized MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Customized MCP Server what's the weather like in Tokyo today?" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Customized MCP Project

This project leverages the mcp library with CLI support and integrates with OpenAI's API.

Requirements

Make sure to install the required dependencies before running the project:

pip install -r requirements.txt

Related MCP server: Weather MCP Server

Usage

Configure your OpenAI API key as an environment variable:
export OPENAI_API_KEY="your-api-key"
Start the MCP server:
python server.py
Use the client to interact with the server:
python client.py
Alternatively, use the orchestrator to query the LLM and tools:
python main.py

Example

Querying the Weather Tool

Run the client and call the get_weather tool:

python client.py

Example interaction:

You: List tools Assistant: { "tools": [ { "name": "get_weather", "description": "Get weather for a city", "parameters": { "city": { "type": "string", "description": "Name of the city" } } } ] } You: Call get_weather with {"city": "Beijing"} Assistant: 北京的天气是晴天