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A2CR MCP server

by a2cr·io.github.a2cr/a2cr-mcp·v0.1.8·2 stars
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Save AI-agent handoff checkpoints, WorkStash notes, and WorkThreads in a local A2CR workspace.

A91/100grade A
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Safety scan
A91/100

full report

Adoption
Growing

2 stars43 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

A2CR tools (21, 4 write)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • archive_work_thread

    Archive a local WorkThread so it is hidden from default thread lists.

  • close_work_thread

    Close a local WorkThread when active coordination is finished.

  • create_work_threadwrite action
  • delete_contextwrite action

    Delete a context slot manually.

  • delete_work_stashwrite action
  • explain_a2cr_flows
  • get_account_limits

    Return local workspace limits for the active A2CR store.

  • get_handoff

    Get a Markdown-formatted handoff text for pasting into a new AI window.

  • get_work_stash
  • get_work_thread
  • list_contexts

    List all active context slots with their expiry times and sizes.

  • list_work_stash
  • list_work_threads
  • load_context

    Retrieve saved context by slot number or slot name.

  • post_work_thread_messagewrite action
  • resume_context

    Find and load the right context for a new AI window.

  • save_context

    Save context to a named slot. Optionally overwrite a fixed Slot number.

  • search_contexts
  • should_save_workbaton
  • should_use_work_stash
  • store_work_stash

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • Code scan17 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 2 days ago15/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 91/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How A2CR compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
91/100
higher than 88% of 4,460 AI and agents servers
Tools
21
the typical AI and agents server has 6
Tools that change things
19%
typical: 0%. Fewer write tools means less an agent can break
GitHub stars
2
more than 65% of 2,711 AI and agents servers
Downloads a week
43
more than 35% of 1,538 AI and agents servers with a package

What its tools let an agent do: 14 read · 2 create · 1 change · 3 delete · 1 send or post

Install A2CR in Claude Code, Cursor or VS Code

claude mcp add a2cr-mcp -- uvx a2cr-mcp
Add to Cursor

What the publisher says

From the A2CR repository's README, as published. We do not edit it. Read it on GitHub

A2CR

<!-- mcp-name: io.github.a2cr/a2cr-mcp -->

A2CR is an open-source local MCP workspace for AI agent handoffs. It lets Codex, Claude Code, Cursor, and other MCP-capable agents save WorkBaton checkpoints, store temporary WorkStash notes, coordinate through WorkThreads, and resume long coding work from a fresh AI window.

Long AI work usually breaks at the handoff. A fresh AI window needs the goal, current state, decisions, blockers, validation, and next action, but not a whole noisy transcript. A2CR keeps that handoff state compact, explicit, and safer to share between sessions.

Use A2CR when you want to:

  • restart a long AI coding task from a clean context window
  • pass work state between Codex, Claude Code, Cursor, or another MCP client
  • keep milestone checkpoints without storing full chat transcripts
  • separate compact resume state from optional supporting notes

Japanese overview | MCP setup | Usage guide | WorkBaton spec | Local mode spec | 0.1.8 release notes

Directory Status

A2CR is published in the official MCP Registry as io.github.a2cr/a2cr-mcp. The local-only 0.1.8 public release is live on PyPI, GitHub Releases, and the official MCP Registry. See the distribution inventory for the current registration and mirror status.

A2CR is also listed and evaluated on the Glama MCP Registry. Downstream directories may temporarily show cached metadata after a release; the official MCP Registry and this repository are the source of truth.

Local Storage Boundary

A2CR now treats the local workspace as the public product boundary. The public a2cr-mcp wrapper stores WorkBaton, WorkStash, WorkThread, actor, and event records in a SQLite database on the user's machine. It does not require an A2CR account, API key, hosted relay, dashboard, or cloud sync path.

The earlier hosted/SaaS relay path is being retired from the public distribution. New public setup, MCP Registry metadata, and Anthropic Directory submission work should use the local wrapper only.

Quickstart

Choose the local MCP distribution path that matches your AI client:

Keep the Python wrapper version and Node MCPB compatibility version aligned. For the current public release, both the Python wrapper and Node MCPB compatibility version are 0.1.8.

Python wrapper install:

python -m pip install --upgrade a2cr-mcp

Register A2CR for Codex and verify the local workspace:

a2cr init codex --local
a2cr doctor --target local

Open the local browser dashboard:

a2cr ui

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

A2CR: common questions

Is A2CR MCP server safe?
Yes, by our scan: it is graded A (91/100). Read the A2CR safety report
How do I install A2CR?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does A2CR need an API key?
No secret keys are declared. It reads 1 setting from the environment.
Is A2CR maintained?
The last commit was 41 days ago (2026-09-24). The latest release is v0.1.8.
What can I use instead of A2CR?
Servers from other publishers that do the same job: Agent-Native Clips MCP server and IWE (iwe.md) MCP server.
How does A2CR compare with other AI and agents MCP servers?
safety score 91/100 (higher than 88% of 4,460 AI and agents servers); tools 21 (the typical AI and agents server has 6); tools that change things 19% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

Alternatives to A2CR

Same job from other publishers: the closest match first, then the best rated.

  • Agent-Native Clips
    Screen recording, meeting notes, and voice dictation - all with AI
    A
  • IWE (iwe.md)
    Markdown knowledge base as agent memory. Runs against the notes directory it is started in.
    A