MCP Connect is a versatile command-line interface (CLI) client designed to connect to various Model Context Protocol (MCP) servers using stdio transport. It provides seamless integration with OpenAI models and supports dynamic tool and resource management across multiple servers.
Overview
What is MCP Connect?
MCP Connect is a versatile command-line interface (CLI) client designed to connect to various Model Context Protocol (MCP) servers using stdio transport. It provides seamless integration with OpenAI models and supports dynamic tool and resource management across multiple servers.
How to use MCP Connect?
To use MCP Connect, clone the repository, set up a virtual environment, configure your OpenAI API key, and run the client to connect to the desired MCP servers.
Key features of MCP Connect?
- Stdio Transport: Efficiently connects to MCP servers.
- OpenAI Integration: Leverages OpenAI models for advanced processing.
- Multi-Server Support: Connects to multiple MCP servers simultaneously.
- Dynamic Tool Discovery: Automatically discovers and lists available tools.
- Resource Management: Accesses and manages resources across servers.
Use cases of MCP Connect?
- Connecting to multiple MCP servers for data processing.
- Utilizing OpenAI models for enhanced capabilities in various applications.
- Managing tools and resources dynamically across different server environments.
FAQ from MCP Connect?
- What are the prerequisites for using MCP Connect?
You need Python 3.12 or later, a virtual environment setup, and an OpenAI API Key.
- Is MCP Connect free to use?
Yes! MCP Connect is free to use and open-source.
- How do I contribute to MCP Connect?
You can fork the repository and submit a pull request with your changes.