MCP Servers · Memory

a2cr/a2cr

Name: a2cr/a2cr
Author: Various

MCP server for client-encrypted AI agent handoffs with WorkBaton and WorkStash

Visit site ↗

Our verdict

Not reviewed yet

We have not reviewed a2cr/a2cr yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About a2cr/a2cr

a2cr/a2cr is an MCP server that enables client-encrypted handoffs between AI agents using WorkBaton and WorkStash. It provides a standardized protocol for passing encrypted context and tasks between agents, ensuring data confidentiality during transfers.

Best for

Developers building multi-agent systems that need encrypted context handoffs

Use cases

Securely hand off a multi-step task from one AI agent to another
Store and retrieve encrypted agent state with WorkStash
Coordinate agent workflows where each agent receives only its authorized context

Notes

0 stars on GitHub. Last updated 2026-06-01.

Pros

Client-side encryption keeps sensitive agent data private during handoffs
Standard MCP protocol makes integration with existing agent frameworks straightforward
Lightweight Python implementation with no external dependencies beyond MCP

Cons

Zero stars and no community adoption indicates early-stage or experimental project
Limited documentation and examples for real-world deployment
Requires both agents to support the same encryption and protocol version

Key facts

What we have checked

Days since the last commit: 24; Checked 26 Oct 2026GitHub
GitHub forks: 0; Checked 26 Oct 2026GitHub
GitHub stars: 2; Checked 26 Oct 2026GitHub
Open issues: 1; Checked 26 Oct 2026GitHub
Releases in the last 90 days: 0; Checked 26 Oct 2026GitHub

Each value shows when we last confirmed it and where it came from. Values we have not confirmed are left out, never guessed.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

python -m pip install --upgrade a2cr-mcp

Tools exposed

a2cr-mcp

Clients the listing names (not checked here)

Claude Desktop, Claude Code, Cursor, Continue

Install

Add a2cr/a2cr to your client

Not verified yet

Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.

Claude Code

Config checked

Run in your terminal (runs on your computer)

claude mcp add --transport stdio a2cr-a2cr -- uvx a2cr-mcp@0.1.8

Version 0.1.8 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Claude Code's config docs

Claude Desktop

Config checked

Add to claude_desktop_config.json (runs on your computer)

{
  "mcpServers": {
    "a2cr-a2cr": {
      "command": "uvx",
      "args": [
        "a2cr-mcp@0.1.8"
      ]
    }
  }
}

Version 0.1.8 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Claude Desktop's config docs

Cursor

Config checked

Add to .cursor/mcp.json (runs on your computer)

{
  "mcpServers": {
    "a2cr-a2cr": {
      "command": "uvx",
      "args": [
        "a2cr-mcp@0.1.8"
      ]
    }
  }
}

Version 0.1.8 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Cursor's config docs

VS Code

Config checked

Add to .vscode/mcp.json (runs on your computer)

{
  "servers": {
    "a2cr-a2cr": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "a2cr-mcp@0.1.8"
      ]
    }
  }
}

Version 0.1.8 · From the Official MCP registry, read 24 Oct 2026 · Format checked against VS Code's config docs

Codex

Config checked

Add to ~/.codex/config.toml (runs on your computer)

[mcp_servers.a2cr-a2cr]
command = "uvx"
args = ["a2cr-mcp@0.1.8"]

Version 0.1.8 · From the Official MCP registry, read 24 Oct 2026 · Format checked against Codex's config docs

ChatGPT: ChatGPT connects only to remote servers that need no API key.

Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.

Works with

What a2cr/a2cr connects to

5 clients, each with how we know and when we checked.

Works with	Type	How we know	Checked
Claude Code	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked	24 Oct 2026Claude Code docs
Claude Desktop	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked	24 Oct 2026Claude Desktop docs
Cursor	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked	24 Oct 2026Cursor docs
VS Code	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked	24 Oct 2026VS Code docs
Codex	Client	Install recipe matches the client's documented formatRuns locally, version 0.1.8Config checked	24 Oct 2026Codex docs

Health and security

Is a2cr/a2cr looked after, and what do its setup files show

Health score

56 out of 100

Does someone look after this repository? It does not say the code is good or safe. Worked out from GitHub signals checked 26 Oct 2026. How it is worked out

Part	Points	What we saw
Recent activity	30 of 30	Last push 24 days ago
Releases	0 of 15	0 releases in 90 days
Issue replies	Not counted	The latest check has no issue response reading (fewer than 3 measured issues, or issues switched off)
Maintainer	15 of 15	Owned by an organisation
Official source	0 of 20	Community server

Sources

Where this comes from

GitHubRegistry
Checked 26 Oct 2026 · Days since the last commit, GitHub forks, GitHub stars, Open issues, Releases in the last 90 days

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

Built with1 entry

MMCPlowCatalogue

FastMCP

Various

🚀 The fast, Pythonic way to build MCP servers and clients.

★ 25,425

Pairs with3 entries

AAgentslowCatalogue

Crewai

Community

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

★ 55,300

MMCPlowCatalogue