A2CR MCP Server

Name: A2CR MCP Server
Author: a2cr

@a2cr

Repository

Basic information

About A2CR MCP Server

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 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"
      }
    }
  }
}

A2CR MCP Server tools

Tool list not available yet

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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

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Comments

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