jetty

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 Copilot, Windsurf, Zed, Gemini CLI, Codex CLI, and any MCP-compatible agent.

Quick Start (Claude Code)

claude plugin marketplace add jettyio/jettyio-skills
claude 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:

claude plugin marketplace add jettyio/jettyio-skills
claude 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 Copilot

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" }
    }
  }
}

Zed

Add to your Zed settings (~/.config/zed/settings.json):

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

Gemini CLI

gemini extensions install https://github.com/jettyio/jettyio-skills

During installation, you'll be prompted for your Jetty API token. The extension registers the MCP server and loads context automatically.

To install from a local clone instead:

gemini extensions install --path /path/to/jettyio-skills

Antigravity

Antigravity (Google's agentic IDE) loads skills from ~/.gemini/antigravity/skills/ and reads MCP servers from ~/.gemini/antigravity/mcp_config.json. It does not auto-install from any of the manifests in this repo — file-drop only.

Skills: clone the repo and either symlink or copy each skill directory you want into Antigravity's skill path. For example:

git clone https://github.com/jettyio/jettyio-skills.git
mkdir -p ~/.gemini/antigravity/skills
ln -s "$(pwd)/jettyio-skills/skills/jetty-setup"     ~/.gemini/antigravity/skills/jetty-setup
ln -s "$(pwd)/jettyio-skills/skills/create-runbook"  ~/.gemini/antigravity/skills/create-runbook
ln -s "$(pwd)/jettyio-skills/skills/optimize-runbook" ~/.gemini/antigravity/skills/optimize-runbook
ln -s "$(pwd)/jettyio-skills/skills/jetty"           ~/.gemini/antigravity/skills/jetty

MCP server: add to ~/.gemini/antigravity/mcp_config.json:

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

Restart Antigravity after editing the config. Skills trigger on natural language (slash commands aren't auto-discovered for skills) — say "set up Jetty" or "create a runbook for X" and the agent will pick the right skill via the description in its frontmatter.

Codex CLI

Add to ~/.codex/config.json:

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

Any Other MCP Client

JETTY_API_TOKEN=mlc_your_token npx -y jetty-mcp-server

The server communicates over stdio using the MCP protocol.

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Get Your API Token

1. Sign up at jetty.io
2. Go to Settings → API Tokens
3. Create a token (starts with mlc_)
4. Add it to your tool's config as shown above

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First-Time Setup

Once connected, ask your agent to help you get started. This works in any MCP-connected tool — just paste the prompt below into your agent's chat: