MCP Client & Server Example

by xiaoye-hua

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# 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…

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Author: xiaoye-hua
Downloads: 282
Categories: Other

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name MCP Client & Server Example

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

From the repository

Clone the repository, install uv (Python package installer), create a virtual environment, install dependencies with uv pip install -e ., copy .env.example to .env, paste your Anthropic API key, then run the server or client scripts (e.g., weather_server.py, client_example.py).

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "mcp client & server example": {
            "mcp_server_client_example": {
                "command": "uv",
                "args": [
                    "venv"
                ]
            }
        }
    }
}

McpServers

{
    "mcp_server_client_example": {
        "command": "uv",
        "args": [
            "venv"
        ]
    }
}

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:

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

3. Create and activate a new environment:

uv venv

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

4. Install dependencies using uv:

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 and Server example
- weather_example.py - Example implementation using the National Weather Service API
- client_example.py - Interactive client with Claude AI integration

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Description

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Details

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Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

MCP Client & Server Example

Prerequisites

Installation

Project Structure

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