Build, run, and monitor AI/ML workflows from any agent. MCP server extension for Claude Code, Gemini CLI, Cursor, VS Code Copilot, and more.

Jetty — AI/ML Workflows for Any Agent

Build, run, and monitor AI/ML workflows on Jetty from any AI coding tool. Works with Claude Code, Cursor, VS Code Cursor, Windsurf, Zed, Cursor CLI, Codex CLI, and any MCP-compatible agent.

Quick Start (Claude Code)

cursor plugin marketplace add jettyio/jettyio-skills
cursor plugin install jetty@jetty

Then run /jetty-setup to create an account, configure your API key, and run your first workflow in under 5 minutes.

Install in Your Tool

Jetty uses the Model Context Protocol (MCP) to connect to your agent. Pick your tool below.

Claude Code

Plugin (recommended) — includes guided setup wizard, workflow skills, and MCP tools:

cursor plugin marketplace add jettyio/jettyio-skills
cursor plugin install jetty@jetty

Then run /jetty-setup to get started interactively.

MCP server only:

Claude MCP add jetty -- npx -y jetty-mcp-server

Or add to your project's .mcp.json:

{
  "mcpServers": {
    "jetty": {
      "command": "npx",
      "args": ["-y", "jetty-mcp-server"],
      "env": { "JETTY_API_TOKEN": "mlc_your_token" }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project root:

{
  "mcpServers": {
    "jetty": {
      "command": "npx",
      "args": ["-y", "jetty-mcp-server"],
      "env": { "JETTY_API_TOKEN": "mlc_your_token" }
    }
  }
}

VS Code Cursor

Add to .vscode/mcp.json in your project root:

{
  "servers": {
    "jetty": {
      "command": "npx",
      "args": ["-y", "jetty-mcp-server"],
      "env": { "JETTY_API_TOKEN": "mlc_your_token" }
    }
  }
}

Or run MCP: Add Server from the Command Palette.

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "jetty": {
      "command": "npx",
      "args": ["-y", "jetty-mcp-server"],
      "env": { "JETTY_API_TOKEN": "mlc_your_token" }
    }
  }
}