A2cr Mcp
by a2crcommunityv0.1.6
A2CR is an MCP server for saving and resuming compact AI agent handoff state between chat windows. It stores client-encrypted WorkBaton checkpoints and temporary WorkStash notes so agents like Codex and Claude Code can continue long coding tasks without keeping full transcripts.
From the registry: Save WorkBaton checkpoints and WorkStash notes for AI agent handoffs.
Install & configure
Prerequisites
- requiredInstall Python packageInstall the A2CR MCP server from PyPI. Python 3.12 or 3.13 is recommended.
https://pypi.org/project/a2cr-mcp/$ python -m pip install --upgrade a2cr-mcp - requiredCreate A2CR API keyGenerate an API key from the hosted A2CR dashboard. Required to save and resume handoffs via the hosted service.https://a2cr.app
Install in your client
Paste into the AI you're chatting with — it will figure out the rest
Please install the `a2cr-mcp` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install Python package** — Install the A2CR MCP server from PyPI. Python 3.12 or 3.13 is recommended. Run: `python -m pip install --upgrade a2cr-mcp` (https://pypi.org/project/a2cr-mcp/)
- **Create A2CR API key** — Generate an API key from the hosted A2CR dashboard. Required to save and resume handoffs via the hosted service. (https://a2cr.app)
Canonical MCP server config (stdio transport):
- command: `a2cr-mcp`
- args: []
- required environment variables:
- `A2CR_API_KEY`: A2CR API key for authenticating to the hosted A2CR service. (example: `<your-a2cr-api-key>`)
- `A2CR_BASE_URL`: Base URL for the hosted A2CR service. The README shows the hosted public service URL and the server depends on that hosted backend in the default setup. (example: `<your-a2cr-base-url>`)
Note: The recommended install path is the Python stdio wrapper from PyPI. The README also mentions a Claude Desktop MCPB extension package, but that is a client-specific distribution path rather than the canonical MCP command/args/env shape.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.Note: The recommended install path is the Python stdio wrapper from PyPI. The README also mentions a Claude Desktop MCPB extension package, but that is a client-specific distribution path rather than the canonical MCP command/args/env shape.
Tools (13)
explain_a2cr_flows
Explains when to use WorkBaton, WorkStash, or WorkThreads.
get_account_limits
Shows current account limits for slots, retention, and WorkStash.
should_save_workbaton
Advises whether a compact WorkBaton checkpoint is useful now.
save_context
Saves a client-encrypted WorkBaton checkpoint.
resume_context
Finds and loads the right WorkBaton for a fresh AI window.
load_context
Loads a specific slot number or named WorkBaton.
list_contexts
Lists active WorkBaton slots.
delete_context
Deletes a named WorkBaton slot.
should_use_work_stash
Advises whether a supporting note belongs in WorkStash.
store_work_stash
Stores a client-encrypted temporary supporting note.
get_work_stash
Retrieves and decrypts a referenced WorkStash entry.
list_work_stash
Lists WorkStash metadata and quota usage.
delete_work_stash
Deletes a WorkStash entry that is no longer needed.
Environment variables
A2CR_API_KEYrequiredAPI key required to access the hosted A2CR service and save or resume handoff state.Prerequisites
- • Python 3.12
- • Python 3.15
Packages
a2cr-mcp
pypiv0.1.6transport: stdio
Details
- Language
- Python
- License
- NOASSERTION
- Released
- May 19, 2026
- Last commit
- Jun 25, 2026
- Registry name
- io.github.a2cr/a2cr-mcp
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