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A2CR MCP Server

@a2cr

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

a2cr

投稿者

もも あかぎ

A2CR MCP Server について

MCP server for AI-agent handoffs. A2CR saves client-encrypted WorkBaton checkpoints and WorkStash notes so MCP-capable clients can resume work without passing full chat history.

#mcp#ai-agents#context-handoff#workbaton#agent-memory

A2CR MCP Server 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": {
    "a2cr": {
      "command": "a2cr-mcp",
      "args": [],
      "env": {
        "A2CR_BASE_URL": "https://a2cr.app"
      }
    }
  }
}

A2CR MCP Server 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 A2CR?

A2CR is an MCP server for AI-agent handoffs. It saves client-encrypted WorkBaton checkpoints and WorkStash notes so MCP-capable clients can resume work without passing full chat history.

How to use A2CR?

Install the package with python -m pip install --upgrade a2cr-mcp. After installation, configure your MCP client to run the server – no additional configuration commands are documented.

Key features of A2CR

  • Facilitates AI-agent handoffs between sessions
  • Saves client-encrypted WorkBaton checkpoints
  • Stores WorkStash notes for context transfer
  • Enables resuming work without full chat history
  • Lightweight Python package available on PyPI

Use cases of A2CR

  • Continue long-running AI conversations across multiple sessions
  • Transfer agent state and notes between different MCP clients
  • Persist encrypted checkpoints for secure context retention

FAQ from A2CR

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コメント

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