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mcpMulti.py

mcpMulti.py

Local
github.com/dmcsvoicesAI & Agents0Updated 82w ago
Repository

About mcpMulti.py

mcpMulti.py is a Python chat loop that makes several MCP servers available in one interface. It includes filesystem, command-line, and Volatility servers for users who want to interact with these capabilities through chat.

Key features

  1. 01Chat loop for multiple MCP servers
  2. 02Filesystem operations and directory access
  3. 03Command-line interactions
  4. 04Memory analysis with Volatility

Use cases

  1. 01Access file operations through chat
  2. 02Run terminal interactions from a chat loop
  3. 03Use Volatility memory analysis in chat

MCP support

Makes filesystem, CLI, and Volatility MCP servers available to its chat loop.

#mcpmultichat#chat-loop#mcp-servers

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

mcpMulti.py

Makes several MCP servers available with a simple chat loop. This implementation provides a suite of Model Context Protocol (MCP) servers, including: Filesystem MCP Server: Manages file operations and directory access. CLI MCP Server: Enables command-line interface interactions for executing terminal commands securely. Volatility MCP Server: Specialized server for memory analysis tasks using the Volatility framework. Ensure you have OPENAI_API_KEY set in your environment.

Installation

pip install -r requirements.txt

Usage

python mcpMulti.py

Dependencies

See requirements.txt

Contributing

Pull requests welcome. Please follow PEP8 style guidelines. # mcpMultiChat

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.