MCP server for orchestrating multiple Gemini AI agents with persistent sessions
Overview
What is Gemini MCP?
Gemini MCP is a server architecture designed to orchestrate multiple Gemini AI agents, allowing each agent to maintain its own conversational context through persistent sessions.
How to use Gemini MCP?
To use Gemini MCP, clone the repository, install the dependencies, configure your environment with the Gemini API key, and run the server. You can create and manage AI agents dynamically during conversations.
Key features of Gemini MCP?
- Dynamic agent creation and management
- Integration with the Gemini API for session management
- Support for both in-memory and SQLite storage options
- Context handoff between agents
- Automatic session cleanup and comprehensive error handling
- Full conversation history tracking
Use cases of Gemini MCP?
- Setting up development teams with specific roles like business analysts and architects.
- Managing complex conversations with multiple AI agents.
- Facilitating collaborative tasks by passing context between agents.
FAQ from Gemini MCP?
- Can I use Gemini MCP for any type of AI agent?
Yes! Gemini MCP is designed to support various roles and functionalities for AI agents.
- Is there a limit to the number of agents I can create?
The maximum number of agents is configurable, allowing you to set limits based on your needs.
- How do I handle errors in Gemini MCP?
The server includes comprehensive error handling to manage common issues and provide troubleshooting guidance.