Your product team already works with AI agents. Now those agents can ship.
Today we’re releasing the Autonomy MCP server. It connects Fei Studio to Claude Code, Claude Desktop, Cursor, and any agent that speaks MCP, the open protocol connecting AI agents to tools. Ask for a change in the chat you already have open, and Fei Studio builds it in your production codebase: your components, your conventions, your review process. Nothing new to learn. No new tab.
🎬 Video coming soon — walkthrough placeholder
Build it into your own agents
It goes past conversations. The tools are callable functions: an automated pipeline can start a task the same way a person does. Teams already run internal agent workflows: triaging tickets, watching error logs. Those workflows can now include an agent that ships user facing fixes. A support ticket about a confusing screen can end as a reviewable PR without anyone picking it up.
What you can do from your agent
- Run real tasks. Start a task in plain language, exactly as you would in Studio. Follow up while it’s running, redirect it, or stop it and steer again.
- See the work, then ship it. Read and edit the task’s plan before it builds. Pull the actual code diff into your agent before a PR even exists. When it’s right, send it to devs: the PR opens, your engineers review and merge as always.
- Set up projects end to end. Your agent already has the repo and its .env open, so linking a project, environment variables, and commands come straight from your machine.
- Developers get a door too. Dispatch a UI task to Fei Studio without leaving a coding session and pull the diff back when it’s ready.
A session looks like this
A PM opens Claude Code and types: “Users are having a hard time finding the CTA on the payments setup page. Redesign it to streamline what’s required and make the next step obvious.”
Fei Studio plans the redesign and builds it with the codebase’s own components and design tokens. The PM opens the link to the live sandbox environment rendering the exact changes that the MCP created, asks for one refinement, and sends it to devs. A PR opens. An engineer reviews and merges it.
The whole exchange happened inside a tool the PM already had open. The engineers’ workflow gained exactly one thing: a finished, reviewable PR.
Same product, same guardrails
Everything over MCP runs through the same path as Studio itself. There is no side door.
- Tasks started from your agent appear in Studio instantly: same chat history, spec, and diff, live for your teammates.
- Every action is scoped to a real, already-linked Autonomy project.
- Shipping still means a PR your engineers approve, no matter who or what started the task.
Your team gets more people delivering. Your risk surface stays the same size.
Why we built it this way
Fei Studio is the Agentic Delivery Layer: the environment that turns an agent’s output into production-grade, merge-ready changes. Layers belong under things. Behind one browser tab, Fei Studio would be another destination competing for your team’s attention. Over MCP, it’s infrastructure, reachable from every agent your company already rolled out.
Your AI rollout just became your shipping pipeline.
Connect it
Add Autonomy as an MCP server in your agent and authenticate with the Autonomy login you already have. One-time setup, and every project you’re linked to is reachable from your agent.
Then ask your agent “how do I get started with Autonomy.” A built-in playbook covers the rest: picking a project, starting a task, and shipping it.
Tags
MCP (Model Context Protocol) AI Agents Fei Studio Claude Code Cursor
CEO @ AutonomyAI
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