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MCP

by edonyzpc

MCP provides personal servers and clients for interacting with Large Language Models (LLMs). It includes example weather server and client implementations.

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What is MCP?

MCP (Model Context Protocol) is a framework for creating personal servers and clients to interact with LLMs. It allows users to define custom services and access them through a client interface, exemplified by the weather server and client.

How to use MCP?

To use MCP, first set up the project using uv to manage dependencies and virtual environments. Then, configure and run the MCP server, copying the server configuration file from the MCP Host. Finally, run the MCP client, which connects to the weather MCP server to retrieve data.

Key features of MCP

  • Server-Client Architecture

  • Weather Service Implementation

  • Easy Setup with uv

  • Integration with LLM Hosts

  • Inspect Server Functionality

Use cases of MCP

  • Retrieving Weather Data via LLM

  • Creating Custom LLM Services

  • Building Personal LLM Assistants

  • Integrating LLMs with External APIs

  • Testing and Inspecting LLM Interactions

FAQ from MCP

What is MCP?

MCP stands for Model Context Protocol. It's a framework for building servers and clients for LLM interactions.

How do I set up the project?

Use uv to initialize the project, create a virtual environment, and install dependencies.

What is the weather server?

The weather server is an example MCP server that retrieves US weather data.

How do I run the MCP client?

Use the command uv run ./clients/mcp-client/client.py ./servers/weather-server-mcp/weather.py

How can I inspect the MCP server?

Use the command npx @modelcontextprotocol/inspector uv --directory servers/weather-server-mcp run weather.py