Schema | gwanggo-mcp

gwanggo-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`GWANGGO_API_KEY`	No	Your Gwanggo API key (optional, can also use `gwanggo-mcp login`)

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }

Functions exposed to the LLM to take actions

Name	Description
list_modelsA	List available AI image/video generation models with credit costs and per-model options (aspect ratios, resolutions, durations). Call this first to pick a model slug.
get_creditsA	Get the connected Gwanggo account email and remaining credit balance.
generate_imageA	Generate an image with a Gwanggo model. Spends credits. Waits for completion and returns the image URL. Use list_models first to choose a model slug and see its options.
generate_videoA	Generate a video with a Gwanggo model. Spends credits (often per-second — check list_models). Waits up to 10 minutes and returns the video URL.
get_taskA	Check the status/result of a previous generation by its id.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/bill-950207/gwanggo-mcp'

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