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MCP Client

by swairshah

An interactive AI assistant interface with a dual-display system: a terminal-based CLI for commands and an always-on-top window for real-time model output monitoring.

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What is MCP Client?

The MCP Client is an application providing a terminal interface alongside an always-on-top display window for interacting with and monitoring AI models using the Model Context Protocol (MCP). It allows for command-line interaction with an AI assistant while visually tracking model outputs in real-time.

How to use MCP Client?

First, clone the repository and install the necessary dependencies (Node.js, npm, Python 3.7+, MCP library). Then, start the application using python backend/cli.py. Interact with the AI assistant using terminal commands, and monitor the model's outputs in the always-on-top display window.

Key features of MCP Client

  • Terminal Interface

  • Always-on-top Display Window

  • Real-time Output Monitoring

  • Pause Functionality

  • User Input Requests

  • Global Shortcuts

  • MCP Integration

Use cases of MCP Client

  • Computer Control

  • Browser Automation

  • Long-running Tasks

  • Safety Monitoring

FAQ from MCP Client

What is the purpose of the MCP Client?

It provides an interactive AI assistant interface with a terminal and a real-time monitoring window.

How do I connect to an MCP server?

Configure your MCP server in backend/server.config and install the MCP library using pip install mcp.

What are the global shortcuts?

Ctrl/Cmd + Shift + T toggles the follow desktop behavior, and Ctrl/Cmd + Shift + P pauses/resumes model execution.

What is the always-on-top display window used for?

It's used for monitoring model outputs in real-time.

What can I do with the terminal interface

The terminal interface is used to to input commands and see primary responses from the model