Productivity · Local MCP server

A2CR

Save AI-agent handoff checkpoints, WorkStash notes, and WorkThreads in a local A2CR workspace.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
io.github.a2cr/a2cr-mcp
Version
0.1.8
Status
Active
Category
productivity
Transport
stdio (local process)
Package
PyPI
Published
2026-07-01
Updated
2026-07-01
Publisher
a2cr (GitHub)
Repository
github.com/a2cr/a2cr
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIa2cr-mcp0.1.8stdioA2CR_LOCAL_DB

How to connect A2CR

A2CR runs locally from a Python package published to PyPI: a2cr-mcp version 0.1.8. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx a2cr-mcp. It reads the environment variable A2CR_LOCAL_DB; set it in the client's configuration for this server.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "a2cr-mcp": {
      "command": "uvx",
      "args": [
        "a2cr-mcp"
      ],
      "env": {
        "A2CR_LOCAL_DB": "<value>"
      }
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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