MCPOmni Connect is an agent execution runtime that connects to multiple MCP servers via stdio, SSE, or streamable HTTP. It supports chat, autonomous agents, and planner-based orchestration treating each MCP server as a tool agent to enable dynamic multi-agent workflows across LLM systems, and can be embedded in FastAPI or backend systems.
Overview
What is MCPOmni Connect?
MCPOmni Connect is a versatile command-line interface (CLI) client designed to connect to various Model Context Protocol (MCP) servers using stdio transport, providing seamless integration with OpenAI models.
How to use MCPOmni Connect?
To use MCPOmni Connect, clone the repository, set up a virtual environment, configure your OpenAI API key, and run the client to connect to MCP servers.
Key features of MCPOmni Connect?
- Stdio Transport: Efficiently connects to MCP servers.
- OpenAI Integration: Utilizes OpenAI models for advanced processing.
- Multi-Server Support: Connects to multiple MCP servers simultaneously.
- Dynamic Tool Discovery: Automatically discovers available tools.
- Resource Management: Manages resources across servers.
Use cases of MCPOmni Connect?
- Connecting to multiple MCP servers for data processing.
- Utilizing OpenAI models for enhanced capabilities in various applications.
- Managing and accessing resources dynamically across different servers.
FAQ from MCPOmni Connect?
- What are the prerequisites for using MCPOmni Connect?
You need Python 3.12 or later, a virtual environment, and an OpenAI API key.
- Is MCPOmni Connect free to use?
Yes, it is open-source and available for free.
- Can I contribute to MCPOmni Connect?
Yes! Contributions are welcome; please fork the repository and submit a pull request.