generated: '2026-07-19'
method: searched
source: https://docs.flutterflow.io/flutterflow-cli/
name: FlutterFlow CLI
official: true
package: flutterflow_cli
package_url: https://pub.dev/packages/flutterflow_cli
repository: https://github.com/FlutterFlow/flutterflow-cli
license: Business Source License 1.1 (converts to Apache 2.0 on 2055-04-22)
install:
- method: pub
  command: dart pub global activate flutterflow_cli
authentication:
  type: bearer
  token: FlutterFlow API token
  env: FLUTTERFLOW_API_TOKEN
  credentials_file: ~/.flutterflow/credentials.json
  notes: >-
    Pass --token or set FLUTTERFLOW_API_TOKEN. `flutterflow ai init` masks input
    and can persist the key to ~/.flutterflow/credentials.json; `logout` clears it.
commands:
- name: export-code
  summary: Export Flutter source code from a FlutterFlow project.
  example: flutterflow export-code --project <project-id> --dest <output-folder>
  flags:
  - --project (or FLUTTERFLOW_PROJECT env)
  - --dest
  - --[no-]include-assets
  - --[no-]fix
  - --[no-]parent-folder
  - --[no-]as-module
  - --[no-]as-debug
  - --[no-]include-export-manifest
- name: ai
  summary: >-
    Scaffold and drive an agent workspace for FlutterFlow AI; with no arguments
    launches an interactive onboarding wizard (project picker + API key setup).
  subcommands:
  - name: init
    summary: Scaffold a workspace (and MCP config for Claude Code / Gemini CLI / Codex).
    example: flutterflow ai init my-app
  - name: run
    summary: Apply generated changes to the FlutterFlow project.
  - name: validate
    summary: Validate project changes before applying.
  - name: inspect
    summary: Inspect project resources / structure.
  - name: doctor
    summary: Diagnose the local workspace and toolchain.
groups:
  build: [run, validate]
  explore: [inspect, resources, search, status]
  plan_audit: [plan, trace, history]
  context: [context-check, refresh-context, precache]
  maintenance: [upgrade, refresh-workspace, doctor, logout]
key_flows:
- Export Flutter code for a project into a local folder for CI/CD or self-hosting.
- Initialize an AI/MCP workspace so an agent can read and modify a project.
- Push a project's Firebase configuration (requires npm + firebase-tools).
mcp: mcp/flutterflow-mcp.yml