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MCP AIC

Lets your agent start other AI agent sessions, hand them work and follow their progress, with the number of helpers and what they can touch kept in your hands.

Start here: what it does, why use it, and how it fits.

Beta
What it does

One agent hands work to other agents.

MCP AIC lets one agent hand work to others. Your agent can start a helper session in a project folder, give it a task, follow what it does, stop it if it goes wrong, and close it when the job is done. The helpers are the agent programs you already have installed and signed in on the same machine: Claude, Codex, Cursor or Kimi.

By default MCP AIC requests removal or denial of the helper program’s built-in tools. Ask your agent for the capabilities report of the installed provider release, and give the helper only the registered tools needed for its task. Allowed folders and restricted-tool settings do not replace a suitable execution environment.

Your agentHelpersessionSessionrecord1starts2records3readsprogressYour agentHelper sessionSession record1starts2records3readsprogress
  1. Step 1: Your agent starts Helper session.
  2. Step 2: Helper session records Session record.
  3. Step 3: Your agent reads progress Session record.
Why use it

What you gain over doing it by hand.

Without it, a second agent means a second terminal, a copied prompt and a screen you have to read back yourself.

Speed

Hand a task to another agent

Delegating takes a moment, with no window switching

Typical alternative
You open another terminal and paste the task
Here
Your agent starts a helper and gives it the task from the conversation you are already in
Tokens

Follow progress without the noise

Your agent reads short messages, not pages of output

Typical alternative
The helper's whole output scrolls past
Here
Your agent reads recorded messages and tool-status summaries without receiving raw tool-result bodies
Security

Limit what the helper can touch

You choose the registered tools and project, then verify provider support and access before delegation

Typical alternative
The helper inherits a full shell
Here
The default requests restricted built-in tools and checks the chosen project folder
Usability

Several helpers at once

You run, check and stop helpers from one conversation

Typical alternative
One terminal per agent
Here
Your agent runs several helper sessions side by side, within limits you can see (by default 16 per server and four per client), and lists and stops them from one place
Reliability

Stop a runaway job

You can request cancellation and inspect the stored partial result; earlier actions are not undone

Typical alternative
Closing a terminal and hoping
Here
Your agent requests a stop and follows the final state while retaining the available partial record
Usability

Learn the tools on the spot

The workflow is available before delegation

Typical alternative
Reading a README first
Here
A built-in guide tells your agent the workflow, the limits and the warnings about stored data
First task

Included in the image, with prerequisites to prepare.

MCP AIC comes in the MAIT image from release 1.8.0 and updates with it (mait-image). Runs on Linux (amd64, arm64). On macOS and Windows, MCP AIC runs in the managed Linux environment that AIDC Launch provides. Your agent client starts it for you once you add it.

Prepare the allowed project folders and an installed, signed-in helper program, for example one that AIDC installed. Also prepare the running MCP Registry endpoint that supplies its tools. Ask the operator to verify the execution mode and access before the first task; a bundled executable alone does not establish those prerequisites. Get started shows the exact settings.

MCP AIC does not start that registry for helpers: you start it yourself and tell MCP AIC where to find it.

Where it fits

Where it sits in the MAIT toolkit.

Installed bymait-image ships the program
Gives sessions their toolsMCP Registry
Runs the provider programsClaude, Codex, Cursor and Kimi, as installed on the machine
Alternative toOpening one terminal per agent, when you want one agent to coordinate the others
Learn more

Where to read on.