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Tests Python 3.10+ Docker MCP PolyForm Noncommercial 1.0.0 Odoo

Oduflow

An AI-first Odoo development and CI tool, powered by reusable database templates. Oduflow provisions isolated, ephemeral Odoo environments on Docker — one per git branch — and exposes them to AI coding agents via MCP, creating a closed feedback loop that enables fully autonomous Odoo development.

Beyond Vibe Coding: Spec-Driven Development

Vibe coding — chatting with an AI and eyeballing the output — was the first wave. It works for prototypes, but breaks down on real ERP systems where a module must install cleanly, pass tests, and work against production data.

Spec-Driven Development (SDD) is the next step: you write a precise specification of what the module should do, and the AI agent autonomously implements how — because it has a closed feedback loop with the running system:

┌──────────────────────────────────────────────────────┐
│                    AI Agent                          │
│          (Cursor, Cline, Amp, Claude, …)             │
└──────┬──────────────────────────────▲────────────────┘
       │ 1. Read spec                 │ 5. Read errors,
       │ 2. Write code                │    fix code,
       │ 3. Install module via MCP    │    retry
       │ 4. Click-test UI via         │
       │    Playwright MCP            │
┌──────▼──────────────────────────────┴────────────────┐
│               Oduflow (MCP Server)                   │
│  • install_odoo_modules → traceback or success       │
│  • run_odoo_tests → test pass/fail with details      │
│  • get_environment_logs → runtime errors             │
│  • upgrade_odoo_modules → upgrade output             │
├──────────────────────────────────────────────────────┤
│            + Playwright MCP / other tools            │
│  • Navigate Odoo UI, click buttons, fill forms       │
│  • Verify business logic end-to-end                  │
│  • Validate acceptance criteria from the spec        │
└──────────────────────────────────────────────────────┘

The agent writes code, installs the module, reads the traceback, fixes the error, retries — and when it installs cleanly, it can open the browser via Playwright MCP to click through the UI, verify business flows, and validate acceptance criteria — all without human intervention. connect_as_user closes the last gap: it mints a passwordless Odoo session and hands back the cookie, so Playwright lands past /web/login as any role (admin, sales manager, portal) — no credentials to type, no login form.

Vibe Coding Spec-Driven Development
Input Conversational prompts Formal specification with acceptance criteria
Feedback Human eyeballs the code System returns errors, test results, and UI state automatically
Iteration Human copy-pastes errors back Agent retries autonomously via MCP
Scope Single files, prototypes Full modules against real databases
Verification "Looks right" Module installs, tests pass, UI works on production data

Quick Start

1. Install

pip install oduflow

2. Start the MCP server

oduflow

That's it. On first launch, Oduflow automatically creates a default config and initializes shared infrastructure (Docker network, PostgreSQL, team directories).

The generated config is written to /etc/oduflow/oduflow.toml when writable, otherwise to ~/.oduflow/conf/oduflow.toml. Fresh configs include generated secrets for HTTP access: [team.1].auth_token for MCP clients and [team.1].ui_password for the Web Dashboard. The file is created with mode 0600; the secrets are never printed to the log, so read them from the config itself: sudo grep -E 'auth_token|ui_password' /etc/oduflow/oduflow.toml (or the same grep on ~/.oduflow/conf/oduflow.toml for a non-root install).

By default, the server starts in stdio mode (for local MCP clients). For remote/multi-user deployments:

oduflow --transport http
oduflow -t http

3. Connect an MCP client

stdio (local) — add to your MCP client config (e.g. claude_desktop_config.json):

{
  "mcpServers": {
    "oduflow": {
      "command": "oduflow"
    }
  }
}

HTTP (remote) — point your MCP client to http://<host>:8000/mcp and send Authorization: Bearer <auth_token> using the token from oduflow.toml.

The bundled CLI can call that remote MCP server without a separate agent or MCP client configuration:

export ODUFLOW_MCP_URL="http://<host>:8000/mcp"
export ODUFLOW_MCP_TOKEN="<auth_token>"
oduflow client list_environments

The Web Dashboard is available at http://<host>:8000/. Sign in as admin with the ui_password from oduflow.toml; this is separate from the MCP Bearer token.


Documentation

For full documentation, visit oduflow.dev or see the docs/ folder:


Telemetry

Oduflow collects anonymous usage telemetry (first startup and environment creation events) to understand adoption. Only the event name, version, and a random instance ID are sent — no personal data or environment details. To opt out, add disable_telemetry = true to the [server] section of your oduflow.toml. To skip it for a single run (e.g. a test run), start Oduflow with --no-telemetry. See the documentation for details.

Licensing

Oduflow is source-available under PolyForm Noncommercial License 1.0.0. Noncommercial purposes and the organizations covered by that license may use it for free. A separate internal evaluation permission allows companies to assess Oduflow before buying.

Use outside those permissions requires an alternative commercial license: Solo, Business, Integrator, or Enterprise. Read the Oduflow Commercial License Agreement and compare plans. All plans include the same code, features and public updates. Earlier releases retain their original licenses.

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