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google-flow-mcp

Local MCP server for user-assisted Google Flow image and video workflows

Install / Use

claude mcp add hitjcl -- npx -y github:hitjcl/google-flow-mcp

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

72/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop

Our assessment of google-flow-mcp

google-flow-mcp scores 72/100 on our quality scale, 2640th of 2,864 Automation skills we index.

Its MCP Server is 4.2 KB long, well organised into 11 sections with 8 code examples: a solid amount of guidance for an agent.

It has 10 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
26/30
Structure
20/20
Description
12/15
Adoption
4/20
Freshness
11/15

Maintenance, license and trust

  • The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 90/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

google-flow-mcp compared with similar skills

All 4 of these similar skills score higher than google-flow-mcp; compare them before choosing.

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Frequently asked questions

How do I install google-flow-mcp?
Run claude mcp add hitjcl -- npx -y github:hitjcl/google-flow-mcp. The install tabs above show the steps for each supported agent.
Which AI agents does google-flow-mcp work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is google-flow-mcp safe to use?
It is MIT-licensed and scores 90/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is google-flow-mcp still maintained?
The repository was last updated about 3 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.

Google Flow Browser MCP

A local Model Context Protocol server that lets MCP clients such as Claude Code and Codex operate Google Flow through a visible Chrome or Edge window.

The server supports project tracking, assisted login, page inspection, reference uploads, generation preparation, explicit submission, progress recovery, media download, and FFprobe validation. It exposes 22 MCP tools and stores durable state in SQLite.

This is an unofficial browser automation project. Google Flow does not expose a stable public API for this workflow. Website changes may require adapter updates.

Safety model

  • Every user runs the MCP server and browser locally.
  • Users sign in to their own Google account in the visible browser window.
  • The server never asks for, reads, types, stores, or repeats passwords, verification codes, recovery answers, or 2FA tokens.
  • Credit-consuming generation requires an explicit confirmation before submission.
  • Browser profiles, cookies, databases, generated media, and environment files are excluded from Git.
  • Users are responsible for their Google Flow access, credits, regional availability, and compliance with applicable terms.

Requirements

  • Node.js 22.13 or newer
  • pnpm
  • Google Chrome or Microsoft Edge
  • FFmpeg/FFprobe for local media validation
  • A Google account with access to Google Flow

One-command Claude Code install

macOS, Linux, or WSL:

claude mcp add --scope user google-flow -- npx -y google-flow-browser-mcp

Native Windows:

claude mcp add --scope user google-flow -- cmd /c npx -y google-flow-browser-mcp

Confirm the registration, restart Claude Code, and open /mcp:

claude mcp get google-flow

Install from source

git clone https://github.com/hitjcl/google-flow-mcp.git
cd google-flow-mcp
pnpm install --frozen-lockfile
pnpm test

Claude Code

Register the built stdio server using the absolute path on your machine:

claude mcp add --scope user google-flow -- node "/absolute/path/google-flow-mcp/dist/src/index.js"
claude mcp get google-flow

On Windows PowerShell, for example:

claude mcp add --scope user google-flow -- node "C:\path\to\google-flow-mcp\dist\src\index.js"

Restart Claude Code after registration. You can then ask:

Use Google Flow to create a 10-second 9:16 video. Ask me to sign in and confirm credits before submitting, then download and validate the result locally.

Other MCP clients

Use this stdio configuration and replace the path with an absolute local path:

{
  "mcpServers": {
    "google-flow": {
      "command": "node",
      "args": ["/absolute/path/google-flow-mcp/dist/src/index.js"]
    }
  }
}

Recommended workflow

  1. project_create
  2. flow_start_login
  3. The user signs in and confirms membership and credits in the visible browser
  4. flow_confirm_login
  5. flow_open_project and flow_inspect_page
  6. Optionally flow_upload_reference and flow_bind_asset
  7. flow_prepare_generation
  8. After explicit user approval, flow_submit_generation
  9. flow_wait_for_generation
  10. flow_download_media
  11. media_validate_local

Generation polling is resumable. A timeout does not mark the job as failed, and successful media IDs are written to SQLite immediately.

Data and configuration

Runtime data defaults to ~/.google-flow-creator/:

  • browser-profile/ — local Chrome profile and login session
  • state.sqlite — projects, jobs, attempts, assets, and media IDs
  • state.json — optional legacy state imported on first use
  • downloads/ — downloaded media

Override locations with environment variables:

  • FLOW_BROWSER_EXECUTABLE
  • FLOW_DATA_DIR
  • FLOW_PROFILE_DIR
  • FLOW_STATE_FILE
  • FLOW_DATABASE_FILE
  • FLOW_DOWNLOAD_DIR

Never commit or share the runtime data directory because the browser profile can contain active login sessions.

Development

pnpm run check
pnpm test
pnpm run health

Production maintenance commands:

  • pnpm run health checks the runtime, database, browser, and FFprobe.
  • pnpm run backup creates a consistent SQLite backup.
  • pnpm run smoke performs a read/download smoke test using an existing completed video.

License

MIT

Related Skills

View on GitHub
GitHub Stars10
CategoryAutomation
Updated3mo ago
Forks3

Languages

TypeScript

Trust signals

90/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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