Ambit MCP server

Ambit

What you, your agents, and your machines can jointly do — and where your own time is going.

That is your ambit. Ambit reads the configs of Claude Code, Cursor, OpenCode and eight more agent runtimes into one local map of it, and shows how to widen it: what you can do now, what one more step would unlock, and which of what you have is configured but not actually working.

Try the live demo · Get started · Connect it to your agent · FAQ · Docs

One setup, mapped. Pick a next step and Ambit shows what it would open: four more capabilities. Pick one you rely on and switch it off, and it counts the nine working things that would stop with it. Then which tools interrupt you most, and a change waiting on your approval.

npx ambit-cli, or brew install zz-plant/tap/ambit && ambit, or open the hosted demo and install nothing.

Who it is for

Anyone running AI agents who wants them to do more. A small setup, one runtime and a few MCP servers, has the most ground ahead of it, and Ambit names the step that unlocks the most and the combos a single missing piece would give you. A large one, with several runtimes, dozens of servers and a second machine, gets the other half as well: what is configured but failing, and what would stop together if one shared piece went.

The demo walks a sample setup in five steps: the next step worth taking and what it would open, the outage that shows what that reach rests on, a check that was already failing, the approval every change waits for, and then your own config, pasted into the tab and mapped there with nothing uploaded.

From A to B

Point A is a pile of configs: one runtime, a few servers from a list, an agent that does chores while you approve every call, and no way to tell what works. Point B is a loadout that does a class of work without you, with its reach known, its pieces proven, its autonomy granted per action, and you present only where judgment is needed.

Think of it as an Eva. Your loadout is the Eva and you are the pilot: its sync is how much of it is proven to work, its umbilical is what each reach rests on, and its restraints are what must ask before it acts. Ambit adds a rule the show does not have, that a restraint comes off when the evidence meets a bar you set and locks again on one failure. The loadout page says where the picture stops. The way from A to B runs through seven legs:

Shortened. The full README is on GitHub.