Studio
Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar
What is Studio?
Studio is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to open-source control plane for your ai agents. connect tools, hire agents, track every token and dollar
Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Open-source control plane for your AI agents. Connect tools,
Use Cases
Maintainer
Works with
Installation
NPM
npx -y decocmsManual Installation
npx -y decocmsConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Studio
Deco Studio (decocms) is an open-source AI agent control plane that lets you connect MCP tools, hire specialized agents from a built-in store, and track every token and dollar spent across providers such as OpenRouter and Perplexity. It runs locally as a full-stack web application with an embedded PostgreSQL database and exposes a Virtual MCP endpoint so any MCP client can route requests through it — providing observability, role-based access, and cost attribution that raw MCP connections lack.
Prerequisites
- Bun runtime (https://bun.sh) installed — the project uses Bun, not Node.js
- An MCP-compatible client such as Claude Desktop
- Optional: Docker for team or cloud deployments with an external PostgreSQL database
- API keys for any upstream AI providers you want to connect (e.g., OpenRouter, Perplexity)
Start Deco Studio with bunx
The quickest way to launch the control plane is with bunx — no installation step required. It starts a local server on port 4000 with an embedded PostgreSQL database.
bunx decostudioOpen the Studio UI
Navigate to http://localhost:4000 in your browser. You will be prompted to create an account using Better Auth (OAuth 2.1 or email/password).
Connect your first MCP tool
In the Connections tab, click 'Add Connection' and authenticate with an upstream MCP server or AI provider using one-click OAuth — no manual JSON config files needed.
Hire an agent from the store
Navigate to the Agents section, browse the built-in agent store, and hire a specialized agent. Agents are automatically scoped to your project and can access only the connections you allow.
Configure your MCP client to route through Studio
Add Deco Studio as an MCP server in your Claude Desktop config. Studio exposes a Virtual MCP endpoint that proxies requests to your connected tools while logging usage.
{
"mcpServers": {
"studio": {
"command": "npx",
"args": ["-y", "decocms"]
}
}
}Monitor token spend and costs
Open the Observability dashboard in Studio to see real-time token usage and dollar cost broken down by connection, agent, and project.
Studio Examples
Client configuration
Add Deco Studio to claude_desktop_config.json. Studio acts as a proxy MCP server, routing your requests through its control plane.
{
"mcpServers": {
"studio": {
"command": "npx",
"args": ["-y", "decocms"]
}
}
}Prompts to try
Example prompts for managing agents, connections, and observability through Studio.
- "Show me the token spend for all my connections this week"
- "List the agents available in my current project"
- "Which connection had the highest cost last month?"
- "Create a new project called 'Analytics' and scope it to the database and Perplexity connections"
- "Pause the Competitor Tracker agent to stop background token usage"Troubleshooting Studio
bunx decostudio fails with 'command not found'
Install Bun first: `curl -fsSL https://bun.sh/install | bash`. Verify with `bun --version`. Do not use npm or npx — this project requires Bun.
Port 4000 is already in use
Kill the process occupying port 4000 with `lsof -ti:4000 | xargs kill` on macOS/Linux, then re-run `bunx decostudio`.
Agent tools are not visible in Claude after connecting Studio
Ensure the Studio server is running (http://localhost:4000 is accessible), then restart Claude Desktop so it re-reads the MCP config and re-establishes the connection.
Frequently Asked Questions about Studio
What is Studio?
Studio is a Model Context Protocol (MCP) server that open-source control plane for your ai agents. connect tools, hire agents, track every token and dollar It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Studio?
Install via npm with the command: npx -y decocms. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Studio?
Studio works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Studio free to use?
Yes, Studio is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.
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