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MCP TEAMATE

@aokihu

Repository

Basic information

Category

Other

License

BSD-2-Clause

Transports

stdio

Author

aokihu

About MCP TEAMATE

MCP server for AI cooperation

MCP TEAMATE config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "mcp-teamate": {
      "command": "bun",
      "args": [
        "run",
        "dev"
      ]
    }
  }
}

MCP TEAMATE tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP-TEAMATE?

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

How to use MCP-TEAMATE?

Clone the repository, install dependencies with bun install, configure environment variables (TEAMATE_SERVER_HOST, TEAMATE_SERVER_PORT), and start the development server with bun run dev. Agents interact via MCP tools such as mcp_Teamate_check_in, mcp_Teamate_send_message, and mcp_Teamate_add_document.

Key features of MCP-TEAMATE

  • Real-time communication based on HTTPStream
  • SQLite persistent storage for data
  • Secure message delivery mechanism
  • Multi‑AI agent collaboration
  • Document management with version control
  • Agent memory management across sessions

Use cases of MCP-TEAMATE

  • Enabling multiple AI agents to form a virtual team and collaborate on tasks
  • Sharing knowledge and documents among agents with access control
  • Persisting agent memory across conversations for continuity
  • Building asynchronous messaging workflows between agents
  • Managing versioned documents shared by multiple AI agents

Frequently asked questions

1

What communication protocol does MCP-TEAMATE use?

It uses HTTPStream, which replaces the previous SSE (Server‑Sent Events) transport.

2

What are the runtime requirements?

Bun 1.0.0 or higher, Node.js 18.0.0 or higher, and SQLite3.

3

How is data persisted?

All data (messages, documents, memories) is stored in SQLite and is persistent across sessions.

4

Can MCP-TEAMATE be deployed in the cloud?

Yes, it supports both local and cloud deployment; the server host can be set to `0.0.0.0` to accept external connections.

5

How do agents communicate in MCP-TEAMATE?

Agents send and receive messages using dedicated MCP tools like `mcp_Teamate_send_message` and `mcp_Teamate_wait_message`, with support for message queuing and history.

Comments

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