storytelling-media-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| GCLOUD_PROJECT | No | Alternative GCP project ID. | |
| GEMINI_API_KEY | No | API key for Gemini API. | |
| GOOGLE_CLOUD_PROJECT | No | GCP project ID for ADC/Vertex AI. | |
| GOOGLE_CLOUD_LOCATION | No | GCP location for Vertex AI (default: us-central1). | |
| GOOGLE_CLOUD_QUOTA_PROJECT | No | Alternative GCP project for quota and billing. | |
| STORYTELLING_MEDIA_MCP_ROOT | No | Root directory for local development (plugin launcher). |
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
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| nano_banana_generate_imageB | Generate or edit an image with Google's Nano Banana Gemini image models. |
| veo_generate_videoC | Generate a video with Google's Veo 3.1 Gemini API. |
| stitch_videosA | Stitch local video files into one output file with FFmpeg. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: image generation, video generation, and video stitching. No overlap or ambiguity between them.
The first two tools follow a 'model_verb_object' pattern, while the third uses a simpler 'verb_object' pattern. This is a minor deviation, but the names remain predictable and readable.
Three tools cover the core media generation and stitching workflows. The count is on the low side but each tool serves a distinct, necessary function without being overly sparse.
The toolkit covers image generation, video generation, and video stitching, which are fundamental for storytelling media. Minor gaps exist, such as missing audio generation or video editing, but the core generation-to-assembly flow is well represented.