a demo of customized mcp
What is MorvanZhou customized mcp
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
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
Dependencies
openai==1.70.0mcp[cli]==1.6.0
License
This project is licensed under the MIT License.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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