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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
gflow_generate_imageA

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.

gflow_generate_videoA

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.

gflow_list_toolsA

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

gflow_get_creditsA

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.

gflow_character_listA

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.

gflow_character_voicesA

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.

gflow_character_showA

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.

gflow_list_projectsA

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

gflow_auth_statusA

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.

gflow_instructions_listB

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

gflow_instructions_addA

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.

gflow_instructions_set_enabledB

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

gflow_instructions_rmB

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

gflow_instructions_toggle_modeA

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.

gflow_instructions_applyA

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.

flow_plan_batchA

Plan an I2V video batch statelessly. Validates scenes and parameters, computes credit cost and deterministic SHA-256 plan hash, and returns the plan state to the MCP client. Zero server-side persistence.

yenflow_plan_batchD

Alias for flow_plan_batch.

flow_submit_sceneB

Submit a single video scene to Google Flow in silent background headless mode (zero window popups, no stolen focus). Returns media_id immediately to the client for tracking.

yenflow_submit_sceneD

Alias for flow_submit_scene.

flow_generate_sceneC

Generate a single video scene end-to-end in silent headless background mode. Returns the local path to the generated MP4 file upon completion.

yenflow_generate_sceneD

Alias for flow_generate_scene.

flow_poll_sceneA

Statelessly check Google Flow for the completion status of a video generation by media ID and project ID.

yenflow_poll_sceneD

Alias for flow_poll_scene.

flow_stitch_videoB

Stitch multiple MP4 video clip files together into a single unified video with optional audio track using ffmpeg.

yenflow_stitch_videoD

Alias for flow_stitch_video.

Prompts

Interactive templates invoked by user choice

NameDescription
expand_prompt[DEPRECATED: use the creative-director tool] Build the 5-component prompt formula. This is a *prompt template* — it returns an instruction string for the calling client's own model to expand. It is superseded by the ``creative-director`` tool, which performs the rewrite server-side (calls Gemini directly), strips banned keywords, supports domain styles, and records provenance. Reach it via ``gflow_list_tools`` / the ``tools`` array param on the generation tools, or ``gflow tools run creative-director`` / ``--tool`` on the CLI. This template is retained for backward compatibility (some MCP clients surface prompts as user-pickable templates, a distinct UX from agent-invoked tools) and is slated for removal in a future major release. See docs/PROMPT_EXPANSION.md. Inputs: - subject: The primary subject of the generation. - action: Description of actions or motion (optional). - setting: Setting/location/background (optional). - camera: Camera angle, lens type, framing, movement (optional). - lighting: Light source, mood, color palette, atmosphere (optional).
create_characterCreate a consistent character profile prompt structure for Google Flow character models. Inputs: - name: The name of the character. - gender: Gender profile of the character (default: neutral). - appearance: Appearance traits (hair, eyes, facial features) (optional). - clothing: Clothing style and colors (optional).

Resources

Contextual data attached and managed by the client

NameDescription
MCP Agent GuideInstructions for AI agents on how to use gflow-cli tools. Read this BEFORE making any tool calls.
Known IssuesIndex of current known issues (titles + status). Read gflow://docs/known-issues/{slug} for one issue's full text.
Database SchemaSQLite database schema for gflow.db — operations catalog.

TDQS

C2.4/5.0

Scored across 25 tools

Disambiguation2/5

Several tools are exact aliases (yenflow_* for flow_*), creating duplicate entries that an agent must disambiguate. More importantly, gflow_generate_video, flow_generate_scene, and flow_submit_scene all cover video generation but with unclear boundaries, making misselection likely.

Naming Consistency2/5

Names are mostly snake_case but mix three prefixes—gflow_, flow_, and yenflow_ aliases—without a clear rule. Verb usage is also uneven: 'rm' instead of 'remove', 'get_credits' vs 'list_*', and 'plan_batch'/'submit_scene'/'generate_scene' follow different patterns.

Tool Count2/5

Twenty-five tool names is too many, and five are exact aliases, inflating the count to 25 while only representing about 20 distinct operations. The surface feels heavier than needed, especially with six instruction-card tools and three scene-generation variants.

Completeness3/5

The set covers a broad workflow: auth, credits, projects, characters, instruction cards, image/video generation, scene planning/submission/polling, and stitching. However, character creation/update/delete is absent despite character voice and listing tools, and batch planning has no accompanying batch submission tool, creating notable workflow gaps.

Maintenance

ActivityActive
ResponsivenessNo issues