MCP TEAMATE

@aokihu

リポジトリ

基本情報

カテゴリ

その他

ライセンス

BSD-2-Clause

トランスポート

stdio

作者

aokihu

MCP TEAMATE について

MCP server for AI cooperation

MCP TEAMATE の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP TEAMATE のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

よくある質問

What communication protocol does MCP-TEAMATE use?

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

What are the runtime requirements?

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

How is data persisted?

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

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.

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.

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