Gooseteam
What is GooseTeam MCP Server?
GooseTeam is a server that enables multiple AI agents to collaborate on tasks using the Model Context Protocol (MCP). It provides tools for agent registration, message management, and task coordination.How to use GooseTeam?
1. Configure Goose CLI with the extension 2. Start the MCP server and inspector 3. Launch agents that follow the protocol 4. Monitor and interact through the inspector interfaceUse Cases
Ideal for collaborative AI projects where multiple agents need to: - Divide and conquer complex tasks - Coordinate specialized roles - Maintain shared context and communicationKey Features
Agent ManagementRegister agents with unique IDs and colors, list active agents, and handle agent departures.
Message SystemSend, receive, and manage messages between agents with persistent storage.
Task CoordinationCreate, assign, and complete tasks with automatic role assignment (Project Coordinator).
Mermaid Protocol SupportBehavioral control through visual flowchart instructions using Mermaid markdown.
Pros and Cons
Advantages
Enables true multi-agent collaboration
Flexible protocol implementation (text or flowchart)
Visual monitoring through inspector interface
Language-agnostic MCP protocol
Limitations
Requires compatible LLM (currently only works well with certain models)
Setup requires multiple terminal sessions
Learning curve for protocol implementation
Getting Started
Install Dependencies
Clone the repository and install required packages.
Configure Goose CLI
Add the GooseTeam extension to your Goose configuration.
Start Services
Launch the server and inspector in separate terminals.
Launch Agents
Start agents that will connect to the server.
Usage Scenarios
Project CoordinationMultiple agents collaborate on a software development project
Research TeamAgents divide research topics and compile findings
Frequently Asked Questions
Why do my agents stop working after a few messages?
Can I use this with other agent platforms besides Goose?
How do I know if my agents are collaborating?
Additional Resources
MCP Specification
Complete Model Context Protocol documentation
Building a Team of AI Agents (Video)
Inspiration talk by Aaron Goldsmith
Goose CLI Documentation
Installation and usage guide for Goose
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