Dreamboat-Rachel_MCP-Server-For-Local

MCP (Model Context Protocol) serves as a universal interface for AI applications, enabling language models like Claude to securely and efficiently access real-time data, perform operations, and extend functionalities. By utilizing a client-server architecture, MCP allows developers to integrate AI with various tools and data sources without the need for custom integrations for each. The protocol's core strengths lie in its uniformity and modularity, allowing seamless connections through the implementation of the MCP protocol.

Features

• {'name': 'Weather Query', 'description': 'Connects to external weather APIs like OpenWeatherMap to provide real-time weather forecasts and alerts for specified locations.'}
• {'name': 'Google Auto Search', 'description': 'Enables AI to dynamically call Google search functions to retrieve relevant information in real-time.'}
• {'name': 'Camera Control', 'description': 'Allows developers to control camera operations such as capturing images and streaming, with customizable parameters.'}

Usage with Different Platforms

mcp

bash
uv init mcp-client
cd MCP-Server-For-Local

create_virtual_environment

bash
uv venv
.venv\Scripts\activate
source .venv/bin/activate

install_mcp_sdk

bash
uv add mcp
uv pip install dashscope

run_main_py

python
from mcp import MCPClient
client = MCPClient()
print("MCP Client initialized!")

execute_code

bash
python main.py