io.github.a2cr/a2cr-mcp

MCPcommunity
v0.1.6io.github.a2crUnknownUpdated 1mo agoGitHub

Save WorkBaton checkpoints and WorkStash notes for AI agent handoffs.

A2CR is an MCP server for AI agent handoffs. It lets Codex, Claude Code, Roo Code, and other MCP-capable agents save client-encrypted WorkBaton checkpoints, store temporary WorkStash notes, and resume long coding work from a fresh AI 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…

Automatically indexed from public sources. Not yet verified by the developer on Forge.Claim this listing →
1mo agoLast update
Package
Authorio.github.a2cr
LicenseUnknown
Version0.1.6
Sourcemcp-registry
GitHuba2cr/a2cr
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/25
→ Publisher: run `forge publish` from the package repo to claim ownership
—Ed25519 publish signature+0/10
→ Included automatically when the publisher runs `forge publish`
—Domain verification+0/5
→ Publisher: host /.well-known/forge.json on the package homepage with { "publisher": "<github-login>" }
✓CVE scan · clean+30/30
✓Static analysis · clean+20/20
—npm provenance (Sigstore)+0/5
→ Publish from GitHub Actions with the --provenance flag
Paste into Claude Code, Cursor, or any AI assistant to fix all gaps
StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ Cleanv0.1.6 · 19d ago
EvalsNone
IndexedJun 13, 2026

Verification confirms publisher identity (repo ownership), not code safety. The security scan covers known CVEs and suspicious install scripts — it cannot prove the absence of malicious code.

About

A2CR is an MCP server for AI agent handoffs. It lets Codex, Claude Code, Roo Code, and other MCP-capable agents save client-encrypted WorkBaton checkpoints, store temporary WorkStash notes, and resume long coding work from a fresh AI 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.…

Keywords
mcp