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A2CR

a2cr/a2cr

A2CR solves the AI handoff problem: when your context window fills up or you switch between Codex, Claude Code, or Roo Code, you lose the thread. This server gives you save_context and resume_context tools that store compact WorkBaton checkpoints (goal, current state, next action, decisions, blockers) and optional WorkStash notes. Everything is client-encrypted before hitting the hosted A2CR service at a2cr.app, so you need an API key. The Python wrapper ships via PyPI as a2cr-mcp, and there's an MCPB package for Claude Desktop. Use it when a coding task spans multiple sessions and you want structured resume state instead of pasting transcript snippets into the next window.

GitHub stars
2
tools
13
transport
STDIO
env var
1
last updated
Jul 1, 2026

Tools

13 tools

Public tool metadata for what this MCP can expose to an agent.

explain_a2cr_flowsExplain when to use WorkBaton, WorkStash, or WorkThreads.

Explain when to use WorkBaton, WorkStash, or WorkThreads.

No parameter schema in public metadata yet.

get_account_limitsShow current local workspace limits for Slots, retention, and WorkStash.

Show current local workspace limits for Slots, retention, and WorkStash.

No parameter schema in public metadata yet.

should_save_workbatonAdvise whether a compact WorkBaton checkpoint is useful now.

Advise whether a compact WorkBaton checkpoint is useful now.

No parameter schema in public metadata yet.

save_contextSave a WorkBaton checkpoint in the local workspace.

Save a WorkBaton checkpoint in the local workspace.

No parameter schema in public metadata yet.

resume_contextFind and load the right WorkBaton for a fresh AI window.

Find and load the right WorkBaton for a fresh AI window.

No parameter schema in public metadata yet.

load_contextLoad a specific Slot number or named WorkBaton.

Load a specific Slot number or named WorkBaton.

No parameter schema in public metadata yet.

list_contextsList active WorkBaton Slots.

List active WorkBaton Slots.

No parameter schema in public metadata yet.

delete_contextDelete a named WorkBaton Slot.

Delete a named WorkBaton Slot.

No parameter schema in public metadata yet.

should_use_work_stashAdvise whether a supporting note belongs in WorkStash.

Advise whether a supporting note belongs in WorkStash.

No parameter schema in public metadata yet.

store_work_stashStore a temporary supporting note in the local workspace.

Store a temporary supporting note in the local workspace.

No parameter schema in public metadata yet.

get_work_stashRetrieve a referenced WorkStash entry.

Retrieve a referenced WorkStash entry.

No parameter schema in public metadata yet.

list_work_stashList WorkStash metadata and quota usage.

List WorkStash metadata and quota usage.

No parameter schema in public metadata yet.

delete_work_stashDelete a WorkStash entry that is no longer needed.

Delete a WorkStash entry that is no longer needed.

No parameter schema in public metadata yet.

Sponsors

Configuration

A2CR_LOCAL_DB

Optional path for the local A2CR SQLite database. Leave unset to use the OS default app-data location.

Readme

A2CR logo

A2CR

PyPI CI License Glama 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:


View the full README on GitHub

Details

Repository
github.com/a2cr/a2cr
Category
AI & LLM Tools
Package
a2cr-mcp
Transport
STDIO
Registry
MCP registry, active

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