Documentation

FlowEasy generates production-grade CI/CD pipelines with built-in DevSecOps gates. Here's how to get started:

1. Sign in with your GitHub account at /login
2. Create a pipeline via the Wizard — pick a repo, choose gates, select deploy target
3. FlowEasy commits a GitHub Actions workflow to your repo automatically
4. Monitor runs in the dashboard — status updates in real-time via webhooks

API keys let you access FlowEasy programmatically — via the MCP server, REST API, or custom integrations.

1. Go to Settings → API Keys
2. Click "Create New Key" and give it a name (e.g., "Claude Code")
3. Copy the key immediately — it won't be shown again

Keys start with fe_ and are stored as SHA-256 hashes. You can have up to 10 active keys.

The FlowEasy MCP server lets you manage pipelines directly from your AI-powered IDE. Install via npx floweasy-mcp.

Claude Code, Cursor, or any MCP-compatible tool

Add to your MCP config file (~/.claude.json for Claude Code, Settings → MCP for Cursor):

{
  "mcpServers": {
    "floweasy": {
      "command": "npx",
      "args": ["-y", "floweasy-mcp"],
      "env": {
        "FLOWEASY_API_KEY": "fe_your_key_here"
      }
    }
  }
}

Windsurf

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

{
  "mcpServers": {
    "floweasy": {
      "command": "npx",
      "args": ["-y", "floweasy-mcp"],
      "env": {
        "FLOWEASY_API_KEY": "fe_your_key_here"
      }
    }
  }
}

OpenAI Codex

Add to ~/.codex/config.toml:

[mcp_servers.floweasy]
command = "npx"
args = ["-y", "floweasy-mcp"]

[mcp_servers.floweasy.env]
FLOWEASY_API_KEY = "fe_your_key_here"

Once connected, your AI assistant has access to these 9 tools:

After setting up the MCP server, just ask your AI assistant naturally:

The web dashboard at /dashboard gives you full visibility:

• Home — Pipeline list with real-time status, log viewer, re-run, and history
• Insights — Success rate, avg duration, runs breakdown (7-day window)
• Deploys — Full deploy history with commit, actor, and duration
• Projects — Repository cards with aggregated pipeline status
• Runners — GitHub-hosted and self-hosted runner status
• Plan — Current plan, usage, and upgrade options
• Settings — Profile, notifications, API keys, MCP setup
• Support — Create and track support tickets