A2CR
@a2cr
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.
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
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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
—
Basic information
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