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A2CR

@a2cr

代码仓库

关于 A2CR

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

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

a2cr

提交者

もも あかぎ

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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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