# a2cr

> a2cr — a2cr-a2cr. Use this tool when you need to securely hand off AI agents between clients and servers, leveraging client-encrypted data transfer with WorkBaton and WorkStash. It solves problems related to secure data exchange and AI model deployment, providing a reliable interface for git-based workflows. This MCP server tool accepts encrypted AI agent data as input and outputs securely transferred models, ideal for use cases requiring high data protection and collaboration.

Canonical page: https://skillsregistry.net/skills/a2cr-a2cr  
JSON: https://api.skillsregistry.net/v1/skills/a2cr-a2cr

## Description

MCP server for client-encrypted AI agent handoffs with WorkBaton and WorkStash

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-25

## Source

- **Source listing:** [GitHub](https://github.com/a2cr/a2cr)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "a2cr-a2cr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/a2cr-a2cr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/a2cr-a2cr/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt