分布式MCP Server

What is 分布式MCP Server?

分布式MCP Server is a Model Context Protocol (MCP) server that provides API tools for legal information queries (Chinese criminal law), weather data, Azure pricing, and utility functions. It is designed for use by Microsoft Copilot or other MCP‑compatible AI assistants.

How to use 分布式MCP Server?

Clone the repository, create a Python 3.10+ virtual environment, install dependencies from requirements.txt, then start the server with python mcp-server.py --host 0.0.0.0 --port 8080. The server exposes an SSE endpoint at /sse and a message endpoint at /messages/. Docker deployment and Azure hosting are also supported.

Key features of 分布式MCP Server

• Legal information tools for Chinese criminal law
• Weather alerts for US states
• Weather forecast by latitude/longitude
• Azure service price query with OData filters
• Chinese character counting function
• Deployable via Docker, Azure Container Apps, or Web App

Use cases of 分布式MCP Server

• AI assistants querying Chinese criminal law articles by code or keyword
• Checking weather alerts or forecasts for a given US location
• Retrieving Azure pricing information with custom filters
• Counting Chinese characters in user‑provided text
• Building a legal research tool integrated with Microsoft Copilot

FAQ from 分布式MCP Server

What tools does 分布式MCP Server provide?

It provides tools for legal article queries, weather alerts, weather forecasts, Azure price queries, and Chinese character counting.

What are the runtime requirements?

Python 3.10 or higher is required. Docker is optional for containerized deployment. MongoDB and Azure OpenAI credentials may be needed for some tools.

How do I start the server locally?

Run python mcp-server.py --host 0.0.0.0 --port 8080 from the project directory after installing dependencies.

Can 分布式MCP Server be deployed on Azure?

Yes. It can be deployed via Azure Container Registry, Azure Container Apps, or Azure Web App with Docker. An Azure Function is also available for Chinese character counting.

Does the server use any authentication or environment variables?

The README recommends storing credentials in Azure Key Vault and configuring API authentication. Environment variables like MONGODB_CONNECTION_STRING and AZURE_OPENAI_API_KEY are used for database and AI features.