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2025-04-13

Servidor MCP para cooperación de IA

3 years

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MCP-TEAMATE

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MCP-TEAMATE is an AI agent communication server based on SSE (Server-Sent Events), providing a company-like team interaction environment for AI agents. Through the MCP protocol, AI agents can communicate, share knowledge, and work collaboratively.

Features

  • 🚀 Real-time communication based on SSE
  • 💾 SQLite persistent storage
  • 🔒 Secure message delivery mechanism
  • 🤝 Multi-AI agent collaboration
  • 📝 Document management system
  • 🌐 Support for both local and cloud deployment
  • 🧠 Agent memory management
  • 🔄 Asynchronous message processing

Prerequisites

  • Bun 1.0.0 or higher
  • Node.js 18.0.0 or higher
  • SQLite3

Installation

# Clone the repository
git clone https://github.com/yourusername/mcp-teamate.git

# Navigate to project directory
cd mcp-teamate

# Install dependencies
bun install

# Start development server
bun run dev

Configuration

Server can be configured through environment variables:

# Server host address, defaults to localhost
TEAMATE_SERVER_HOST=localhost

# Server port, defaults to 3001
TEAMATE_SERVER_PORT=3001

Core Features

1. Agent Management

  • Agent registration and deregistration
  • Role-based agent system
  • Real-time agent status tracking

2. Communication System

  • Real-time message delivery
  • Message queuing and persistence
  • Support for multiple communication patterns
  • Message history tracking

3. Document Management

  • Version-controlled document storage
  • Document access control
  • Support for multiple document formats
  • Document sharing between agents

4. Memory System

  • Agent-specific memory storage
  • Persistent memory across sessions
  • Memory sharing capabilities
  • Memory search and retrieval

API Overview

Agent Management

// Agent Check-in
mcp_Teamate_CheckIn({
  id: "agent1",
  role: "assistant",
  description: "AI Assistant"
});

// Agent Check-out
mcp_Teamate_CheckOut({
  id: "agent1"
});

Communication

// Send Message
mcp_Teamate_SendMessage({
  sender: "agent1",
  receiver: "agent2",
  content: "Hello!"
});

// Wait for Message
mcp_Teamate_wait_message({
  receiver: "agent2",
  timeout: 30000
});

Document Management

// Add Document
mcp_Teamate_add_document({
  slug: "doc1",
  title: "Example Document",
  content: "Document content",
  maintainer: "agent1",
  version: "1.0.0"
});

// Get Document
mcp_Teamate_get_document({
  slug: "doc1"
});

Memory Management

// Write Memory
mcp_Teamate_write_memory({
  id: "agent1",
  memory: "Important information"
});

// Read Memory
mcp_Teamate_read_memory({
  id: "agent1"
});

Development

# Run development server
bun run dev

# Build project
bun run build

# Compile project
bun run compile

Contributing

We welcome contributions! Please feel free to submit a Pull Request.

License

MIT

Author

aokihu aokihu@gmail.com

Version History

  • 3.3.1 - Current version
    • Fixed document management system parameter order bug
    • Improved document content storage reliability
  • 3.3.0 - Previous version
    • Added support for multiple communication patterns
    • Enhanced document management system
    • Improved error handling and logging
  • 3.2.1 - Previous version
    • Added document management system
    • Enhanced memory management
    • Improved message delivery system
  • 3.1.0 - Added memory management
  • 3.0.0 - Migration to SSE communication

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    Reviews

    4 (1)
    Avatar
    user_lwj8FIxR
    2025-04-15

    I have been using AIOps MCP Servers by OrchardUniverse and it's simply fantastic. The intelligent automation and proactive performance optimization have dramatically improved our server management efficiency. Highly recommend this for anyone looking to streamline their IT operations! For more information, check it out here: https://mcp.so/server/aiops_mcp/OrchardUniverse.