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Glama
gpt-img-2

see-dance-2-prompt-mcp

by gpt-img-2

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": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
build_seedance_promptB

Turn a rough idea into a deterministic English or Chinese prompt with separate subject and camera motion, exact reference bindings, and continuity controls.

plan_reference_sequenceA

Create a deterministic 1–6 shot sequence with exact reference bindings, timing, continuity anchors, and end frames.

diagnose_seedance_promptA

Check English or Chinese prompts for visible motion, camera direction, lighting, continuity, and preserved reference tokens.

get_see_dance_2_resourcesB

Return canonical See Dance 2 prompting, workflow, reference, or safety resources without fetching external content.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clear, distinct role: building a prompt, planning a sequence, diagnosing issues, and fetching resources. There is no overlap in purpose, making selection unambiguous.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern using snake_case, with clear action prefixes (build, plan, diagnose, get). The naming is uniform and predictable.

Tool Count5/5

Four tools is an appropriate scope for this domain, covering the core workflow without redundancy or excessive granularity. Each tool earns its place.

Completeness5/5

The toolset covers the full lifecycle: creating a prompt, planning sequences, diagnosing problems, and accessing resources. There are no obvious missing operations for the stated purpose.

Maintenance

ActivityMaintained
ResponsivenessNo issues