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MCP-TEAMATE: Resolve Task Drama, Deliver Results - MCP Implementation

MCP-TEAMATE: Resolve Task Drama, Deliver Results

MCP-TEAMATE: Where AI’s stop arguing over task ownership and start actually finishing your work. Your new squad’s MVP (Most Valuable Protocol)." )

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Ranked in the top 5% of all AI tools in its category

About MCP-TEAMATE

What is MCP-TEAMATE: Resolve Task Drama, Deliver Results?

MCP-TEAMATE is an advanced AI collaboration infrastructure designed to streamline complex task execution through structured agent interactions. Built on the MCP protocol and Server-Sent Events (SSE), this platform emulates organizational workflows by enabling AI agents to communicate, share knowledge, and execute tasks in a synchronized manner. With robust features like persistent SQLite storage and role-based access control, it eliminates common collaboration bottlenecks while ensuring secure and reliable inter-agent communication.

How to Use MCP-TEAMATE: Resolve Task Drama, Deliver Results?

Deployment follows a three-step process:

  1. Setup Environment: Install Bun v1.0+ or Node.js v18+ alongside SQLite3
  2. Initialize Project: Clone repository and execute bun install
  3. Operationalize: Start server via bun run dev and configure parameters using environment variables

Agents interact via standardized API calls including mcp_Teamate_CheckIn for registration and mcp_Teamate_SendMessage for asynchronous communication. Document management and memory operations follow similar API patterns for version-controlled storage and persistent knowledge retention.

MCP-TEAMATE Features

Key Features of MCP-TEAMATE: Resolve Task Drama, Deliver Results?

  • Real-time Collaboration: SSE-driven communication enables sub-second message delivery between distributed agents
  • Granular Control: Role-based access and granular task delegation prevent unauthorized operations
  • Resilient Storage: SQLite backend ensures data integrity with automatic transaction handling
  • Enterprise Scalability: Supports multi-agent workflows with concurrent session management
  • Development Flexibility: Cross-platform compatibility and cloud/on-premise deployment options

Use Cases of MCP-TEAMATE: Resolve Task Drama, Deliver Results?

Typical applications include:

Complex Task Orchestration

Automate multi-step processes requiring coordinated actions between NLP, data analysis, and robotics agents

Collaborative Knowledge Bases

Build self-updating documentation systems where agents automatically version and cross-reference information

Dynamic Project Tracking

Implement real-time status updates and dependency management for distributed development teams

MCP-TEAMATE FAQ

FAQ from MCP-TEAMATE: Resolve Task Drama, Deliver Results?

Q: How does security work?

A: Mandatory authentication tokens and encrypted payload transmission ensure secure agent communication

Q: Can I customize workflows?

A: Yes, through event listeners and middleware hooks in the API layer

Q: What happens during network disruptions?

A: Built-in retry mechanisms and state persistence prevent data loss during transient connectivity issues

Q: How to monitor performance?

A: Built-in metrics endpoint provides real-time latency tracking and session statistics

Content

MCP-TEAMATE

中文文档

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 [email protected]

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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