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mcp-server

Studio: Control AI Agents

Connect tools and track tokens with Studio, for founders using AI agents, with 381 GitHub stars.
intermediateโฑ 30 minutes๐Ÿ’ต Free (self-hosted)
393 stars49 forksTypeScriptQuality 9/10Updated 7/26/2026100% free ยท open source
What it is

Control the use of AI agents with this open-source platform.

What you can make with it

Automations like: connect your Amazon S3 bucket with a Decocms AI agent to automate file classification.

How it helps

You can hire, track, and manage multiple AI agents from one place, saving time and money compared to using individual tools.

Real use case example

"A founder can automate tasks by connecting their Stripe and Amazon S3 accounts with Decocms AI agents in just 30 minutes to reduce manual work and increase productivity."

If you're new

Choose this when you're new to AI tools and want to dip your toes in AI automation.

If you're senior

Senior engineers and founders will appreciate the fine-grained control over AI agents and the potential for custom integrations.

Common confusion cleared up

Don't confuse Decocms with just another AI tool โ€“ it's a control plane for managing your existing AI agents.

Best inside these AI tools
Claude DesktopAny AI Client
Pairs with
Stripes webhookAmazon S3 bucketDecocms AI agent
Why we list it on WorkflowStacks: The marketplace includes this because it provides a free, open-source alternative for controlling AI agents.
What it does

Studio is an open-source control plane that connects tools and tracks tokens for founders using AI agents, providing a centralized management system.

Install / run
git clone https://github.com/decocms/studio.git && cd studio
When to use it
  • โ€ขYou have multiple AI agents and need a unified way to manage them
  • โ€ขYou want to track token usage and costs across different tools and agents
  • โ€ขYou need to hire and manage AI agents from a single interface
Quick start
  1. 1Run the command `npm install` to set up the project
  2. 2Start the studio server with `npm run start`
  3. 3Access the studio interface by navigating to `http://localhost:3000` in your web browser
  4. 4Create a new agent by clicking on the 'Hire Agent' button and following the prompts
  5. 5Configure your tools and tokens by editing the `config.json` file
Ready-to-paste prompt
Create a new agent and hire it to perform a task by running `node src/agents/hire.js --task=myTask --agent=myAgent`
Heads up: Make sure you have Node.js (version 16 or higher) and npm installed on your system before attempting to install and run Studio
Saves to your device

Topics

agents
ai
bun
deco
llm
mcp
mcp-client
mcp-server
n8n
n8n-workflow
nodejs
typescript
workflows
What's inside โ€” free to inspect
No purchase needed

Read the entire source before you build โ€” unlike paid marketplaces that hide it behind a buy button.

19
top-level files
17
folders
145.5M
repo size
MIT
license
Key files
.cursorindexingignore
AGENTS.md
MAINTAINERS.txt
package.json
README.md
tsconfig.json
File tree
.claude/
.conductor/
.cursor/
.githooks/
.github/
.planning/
.superpowers/
.vscode/
apps/
decostudio-alias/
deploy/
docs/
packages/
plugins/
scripts/
selfhost/
tests/
.cursorindexingignore
.dockerignore
.gitattributes
.gitignore
.npmrc
.oxlintrc.json
AGENTS.md
Quick Actions
Details
Creator
decocms
Language
TypeScript
Category
mcp-server
Published
3/14/2025

Are you the creator of this tool? Claim your listing โ†’ and earn 85% of every sale.

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