No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by GTAI-1 · MCP Server · ★ 142
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is flow-mcp safe to install? View the security audit →
flow-mcp Drive Google Flow (flow.google.com) from Claude, Codex or any other MCP app, or from a local control panel, using Flow's own credits (free with any Google account: 50 a day), not the pay-per-use video API. It is a small program that runs on your own machine. It opens its own Chrome window, signs in as you, and clicks Flow's real buttons. There is no browser extension, no hosted service and no account to create. MCP = Model Context Protocol, the standard that lets Claude use outside tools. New here? GETTING-STARTED.md takes you from nothing to your first video, step by step, and OVERVIEW.md explains what it does in plain English, with no code names. What you need Mac: · Windows: . Needed only to join cl
| Stars | 142 |
| Forks | 76 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 71.0634806879182/100 |
| Open Issues | 6 |
| Last Updated | 2026-10-13 |
| Created | 2026-09-21 |
| Platforms | browser, claude-code, codex, mcp, node |
| Est. Tokens | ~17k |
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flow-mcp is Drive Google Flow from Claude, Codex or a local control panel, on Mac or Windows — using your Google AI subscription credits instead of the pay-per-use video API. No browser extension.. It is categorized as a MCP Server with 142 GitHub stars.
flow-mcp is primarily written in TypeScript. It covers topics such as ai-video, claude, codex.
You can find installation instructions and usage details in the flow-mcp GitHub repository at github.com/GTAI-1/flow-mcp. The project has 142 stars and 76 forks, indicating an active community.
The top alternatives to flow-mcp on Agent Skills Hub include hevy-mcp, ClaudeR, maverick-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: