mcpMulti.py MCP Server

@dmcsvoices

代码仓库

基本信息

分类

其他

许可证

MIT license

传输方式

stdio

作者

dmcsvoices

关于 mcpMulti.py MCP Server

A simple chat loop that includes multple mcp servers.

#mcpmultichat#chat-loop#mcp-servers

mcpMulti.py MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcpMultiChat": {
      "command": "python",
      "args": [
        "mcpMulti.py"
      ]
    }
  }
}

mcpMulti.py MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mCPMulti.py?

mCPMulti.py is a Python script that provides a suite of Model Context Protocol (MCP) servers accessible through a simple chat loop. It includes Filesystem, CLI, and Volatility MCP servers for file management, secure command execution, and memory analysis.

How to use mCPMulti.py?

Install dependencies with pip install -r requirements.txt, ensure the OPENAI_API_KEY environment variable is set, then run python mCPMulti.py.

Key features of mCPMulti.py

Bundles multiple MCP servers into one chat loop.
Filesystem server for file operations and directory access.
CLI server for secure terminal command execution.
Volatility server for memory analysis tasks.
Requires only an OpenAI API key for configuration.

Use cases of mCPMulti.py

Perform file management tasks through a conversational interface.
Execute terminal commands safely without direct shell access.
Run memory forensics analysis using the Volatility framework.
Combine diverse MCP tools in a single, simple script.
Enable AI-assistant driven system operations with minimal setup.

常见问题

What environment variable is required?

The `OPENAI_API_KEY` environment variable must be set before running the script.

How do I install mCPMulti.py?

Install the required Python packages by running `pip install -r requirements.txt`.

What MCP servers are included?

Filesystem MCP Server, CLI MCP Server, and Volatility MCP Server are included.

How do I start mCPMulti.py?

Run `python mCPMulti.py` from the command line after installing dependencies and setting the API key.

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