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gflow-cli

PYPI · GFLOW-CLI · SCANNED SEP 20

Drive Google Flow from an agent: Veo video and Imagen image generation

Available components

68 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security100
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 5 of 54 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency35
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
  • License check failed: the license (MIT License) isn't a recognized OSI-approved license. See how to fix → Fail
  • Actively maintained (last published 1 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability81
  • 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).Pass
  • AI-judged instruction clarity (good).Pass
  • Tool/resource definitions use about 1711 tokens (~90/item across 19 items; 16 tools + 3 resources), lean.Pass
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management13
  • Stability observed for 4 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "gflow_instructions_rm" implies "rm" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 17 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Install

How do I install the gflow-cli MCP server?

gflow-cli runs locally as a PyPI package, launched with uvx gflow-cli. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · gflow-cli

# add to Claude Code
claude mcp add ffroliva-gflow-cli -- uvx gflow-cli
// .cursor/mcp.json
{
  "mcpServers": {
    "ffroliva-gflow-cli": {
      "command": "uvx",
      "args": [
        "gflow-cli"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "ffroliva-gflow-cli": {
      "command": "uvx",
      "args": [
        "gflow-cli"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add ffroliva-gflow-cli -- uvx gflow-cli
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ffroliva-gflow-cli": {
      "type": "local",
      "command": [
        "uvx",
        "gflow-cli"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add ffroliva-gflow-cli --command uvx --arg gflow-cli
# ~/.hermes/config.yaml
mcp_servers:
  ffroliva-gflow-cli:
    command: "uvx"
    args: ["gflow-cli"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "ffroliva-gflow-cli": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "gflow-cli"
      ]
    }
  }
}
# add to Vellum
assistant mcp add ffroliva-gflow-cli -t stdio -c uvx -a gflow-cli
// mcp.json
{
  "mcpServers": {
    "ffroliva-gflow-cli": {
      "command": "uvx",
      "args": [
        "gflow-cli"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 10 to 13. That category is still filling its 30-day observation window: 3 days of observed history at the previous scan, 4 at this one. The score rises as the window fills, whether or not the server changes.

  • 19 Sept 26 +15
    • Malware scan: unverified → pass security
  • 18 Sept 26 −14
    • Malware scan: pass → unverified security
    • Package version: 0.78.0 → 0.79.0 functional
  • 17 Sept 26 0
    • Tool safety: pass → unverified security
    • Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet. security
    • Capabilities: pass → unverified functional
    • Tool coverage: 100 → unverified functional
    • Schema quality: 100 → unverified functional
    • Stability: unverified → 0.03 functional
    • Package version: 0.77.0 → 0.78.0 functional
    • Package version: 0.77.0 → 0.77.1 functional
  • 16 Sept 26 66

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed pypi/gflow-cli@0.79.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted hatchling.build

Background: Why install scripts are a supply-chain risk →

Dependencies 54 packages
Packages resolved 54
Stale 4
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 16 exposed · ~1,634 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
gflow_auth_status ~97

Non-interactive, credit-free Flow session probe (#497). Call this BEFORE a generation tool to fail fast on expired auth — the queue is async, so an auth failure otherwise surfaces only later from the daemon. Never starts an interactive login flow; may boot a short-lived headless browser only if cookie decryption requires the Playwright fallback. May take up to ~45s on a slow network.

NameTypeReqDescription
profilestring

Structured output declared, but exposes no named fields.

No examples provided.

gflow_character_list ~103

List the saved Flow CHARACTER entities in a project, with their entity ids. Read-only and spends no credits. Call this to discover what you can attach: an id goes to reference_entities on the generate tools, and a display_name can be used as an @Name mention in a prompt (same wire, they dedupe). Drives a browser session, so it is slower than the catalog tools.

NameTypeReqDescription
profilestring
projectstringyes

Structured output declared, but exposes no named fields.

No examples provided.

gflow_character_show ~91

Show one saved Flow CHARACTER entity by id or by exact display name. Read-only and spends no credits. Exactly one of entity_id or name is required; an ambiguous name is an error rather than a guess, which is the reason to prefer the id. Drives a browser session.

NameTypeReqDescription
entity_id
name
profilestring
projectstringyes

Structured output declared, but exposes no named fields.

No examples provided.

gflow_character_voices ~49

List the preset voices available for a Flow Character's TTS. Static lookup — no network, no browser, no cost. Call it before creating a character to choose a valid voice name.

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

gflow_download_media ~140

Fetch an already-generated VIDEO from Flow by its media ID and write it to disk. For a generation that finished and was billed but whose download failed — the clip is in the Flow project and the local catalog shows no file for it. Spends no credits: the generation was already paid for. The bytes are verified against the size Flow reports before the file is written. Video only: an image media ID is refused immediately (exit 11) because the signed URL this needs comes from a record only a clip's route emits. See issue #877.

NameTypeReqDescription
media_idstringyes
out_dir
profile

Structured output declared, but exposes no named fields.

No examples provided.

gflow_generate_image ~281

Generate an image using Google Flow's Imagen model. Produces 1-4 images from a text prompt. Models: nano2 (fast), nano-pro (balanced), image4 (highest quality). Aspects: 1:1, 9:16, 16:9, 4:3, 3:4. The prompt supports @AssetName mentions to tag saved project characters/assets by name (resolves to referenceEntities/referenceImages). Reference a SAVED named asset via @Name; reference an arbitrary one-off image via reference_images. See docs/REFERENCE_STRATEGIES.md. On accounts served from flow.google.com, use an existing project and local reference files; UUID/entity references and image4 are not ported to that composer yet and fail before submit; retrying will not clear it. Returns local file paths to the generated images.

NameTypeReqDescription
aspectstring
countinteger
instructions
modelstring
output
profilestring
project
project_name
promptstringyes
reference_entities
reference_entity_names
reference_images
seed
tools
ui_mode
waitboolean

Structured output declared, but exposes no named fields.

No examples provided.

gflow_generate_video ~304

Generate a video using Google Flow's Veo model. Modes: t2v (text-to-video), i2v (image-to-video), r2v (reference-to-video). Aspects: 9:16, 16:9. Optional model (veo_lite/veo_fast/veo_quality/omni_flash), duration (seconds), and count select the Veo model, clip length, and batch size (CLI parity). The prompt supports @CharacterName mentions to tag saved project characters by name (resolves to referenceEntities). Reference a SAVED character via @Name; pass one-off ingredient images via reference_images. See docs/REFERENCE_STRATEGIES.md. Optional ui_mode ('classic'/'auto') verifies the classic editor pre-submit and aborts before spending credits if unreachable; 'agentic' is not supported for video. Returns the local file path to the generated video.

NameTypeReqDescription
aspectstring
countinteger
duration
end_frame
initial_frame
modestring
model
output
profilestring
project
project_name
promptstringyes
reference_entities
reference_entity_names
reference_images
tools
ui_mode
waitboolean

Structured output declared, but exposes no named fields.

No examples provided.

gflow_get_credits ~70

Read the current Google Flow credit balance for one saved profile or all profiles. This is read-only and spends no credits. Set all_profiles=true when choosing an account for generation; partial profile failures remain visible in the result.

NameTypeReqDescription
all_profilesboolean
profilestring

Structured output declared, but exposes no named fields.

No examples provided.

gflow_instructions_add ~97

Add a persistent instruction card to a Flow project's Agent-Mode brief (credits-free). Each ref is classified automatically: local image path → uploaded as an image reference; asset UUID → image reference; anything else → character id/name.

NameTypeReqDescription
enabledboolean
profilestring
projectstringyes
refs
textstringyes
titlestringyes

Structured output declared, but exposes no named fields.

No examples provided.

gflow_instructions_apply ~84

Declaratively FULL-SYNC a Flow project's brief: REPLACES all existing instruction cards with the given set (destructive — cards not listed are removed). Each card is {'title', 'text', 'ref': [...], 'enabled'}. Credits-free.

NameTypeReqDescription
cardsarrayyes
profilestring
projectstringyes

Structured output declared, but exposes no named fields.

No examples provided.

gflow_instructions_list ~45

List a Flow project's persistent Agent-Mode instruction cards (reads the live server brief). Credits-free.

NameTypeReqDescription
profilestring
projectstringyes

Structured output declared, but exposes no named fields.

No examples provided.

gflow_instructions_rm ~60

Remove one instruction card from a Flow project's brief, selected by title or card id (exactly one). Credits-free.

NameTypeReqDescription
card_id
profilestring
projectstringyes
title

Structured output declared, but exposes no named fields.

No examples provided.

gflow_instructions_set_enabled ~70

Enable or disable one instruction card on a Flow project's brief, selected by title or card id (exactly one). Credits-free.

NameTypeReqDescription
card_id
enabledbooleanyes
profilestring
projectstringyes
title

Structured output declared, but exposes no named fields.

No examples provided.

gflow_instructions_toggle_mode ~63

Turn a Flow project's brief master switch on or off. When off, NO cards apply even if individually enabled. Cards are left untouched. Credits-free.

NameTypeReqDescription
enabledbooleanyes
profilestring
projectstringyes

Structured output declared, but exposes no named fields.

No examples provided.

gflow_list_projects ~55

List all projects in the local gflow catalog. Returns project IDs, names, and creation dates from the SQLite database.

NameTypeReqDescription
limitinteger
offsetinteger
profilestring

Structured output declared, but exposes no named fields.

No examples provided.

gflow_list_tools ~25

List available gflow prompt tools (name, title, description, category).

Input schema present but exposes no named parameters.

Structured output declared, but exposes no named fields.

No examples provided.

Common questions

What is the gflow-cli MCP server?

gflow-cli is an MCP server listed in the public MCP registry as io.github.ffroliva/gflow-cli. Drive Google Flow from an agent: Veo video and Imagen image generation. This page covers its PyPI package (gflow-cli).

Is the gflow-cli MCP server safe to use?

gflow-cli scores 68 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the gflow-cli MCP server expose?

gflow-cli exposes 16 tools: gflow_generate_image, gflow_generate_video, gflow_list_tools, gflow_get_credits, gflow_character_list, and 11 more. Their descriptions and schemas cost roughly 1,634 tokens of context every time the server is loaded.

Is the gflow-cli MCP server still maintained?

gflow-cli is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.