分布式MCP Server

@xuhaoruins

About 分布式MCP Server

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-server-xuhaoruins": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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.

Frequently asked questions

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.

Comments

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