mcp-server-client-example

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原始内容

# MCP Client & Server Example


## Prerequisites

- Python 3.12 or higher
- uv (Python package installer and environment manager)
- Environment variables set up in `.env` file (for Anthropic API key)

## Installation

1. Clone the repository

2. Install uv if you haven't already:
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
```

3. Create and activate a new environment:
```bash
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
```

4. Install dependencies using uv:
```bash
uv pip install -e .
```
5. Configure .env by copying `.env.example` to `.env` and filling in your Anthropic API key:


## Project Structure

- Simple client and server
    - `weather_server.py` - MCP server implementation with weather service endpoints
- [Client example](https://modelcontextprotocol.io/quickstart/client) and [Server example](https://modelcontextprotocol.io/quickstart/server)
    - `weather_example.py` - Example implementation using the National Weather Service API
    - `client_example.py` - Interactive client with Claude AI integration

MCP Client & Server Example

Prerequisites

Python 3.12 or higher
uv (Python package installer and environment manager)
Environment variables set up in .env file (for Anthropic API key)

Installation

Clone the repository
Install uv if you haven't already:

curl -LsSf https://astral.sh/uv/install.sh | sh

Create and activate a new environment:

uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate

Install dependencies using uv:

uv pip install -e .

Configure .env by copying .env.example to .env and filling in your Anthropic API key:

Project Structure

Simple client and server
- weather_server.py - MCP server implementation with weather service endpoints
Client example and Server example
- weather_example.py - Example implementation using the National Weather Service API
- client_example.py - Interactive client with Claude AI integration