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A2CR

@a2cr

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About 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

Config

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

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

Tools

No tools detected

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

Overview

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

—

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

a2cr

Submitted by

もも あかぎ

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