Agnes Video MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Agnes Video MCP ServerGenerate a 10-second video of a cat on a beach at sunset."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Agnes Video MCP Server
MCP server for Agnes Video v2.0 (text-to-video / image-to-video generation), via OpenAI-compatible API.
Features
Text-to-Video: Generate videos from text prompts
Image-to-Video: Generate videos from a starting image or keyframes
Async workflow: Submit task → poll for result
Custom resolution, frame count, frame rate, duration, seed
Related MCP server: TensorsLab MCP Server
Requirements
Node.js >= 18
Agnes AI API key (free at https://platform.agnes-ai.com)
Environment Variables
Variable | Required | Default | Description |
| ✅ | — | Agnes AI API key |
|
| Model name |
Tools
agnes_video_create — Submit a video generation task
Parameter | Type | Required | Default | Description |
| string | ✅ | — | Text description |
| number | 1152 | Video width | |
| number | 768 | Video height | |
| number | 121 | Frames (8n+1: 121, 241, 361, 441) | |
| number | 24 | Frame rate | |
| number | Duration in seconds | ||
| number | Reproducible seed | ||
| string | Starting image URL | ||
| string |
|
agnes_video_poll — Check task progress
Parameter | Type | Required | Description |
| string | ✅ | Task ID returned from |
Usage
1. agnes_video_create → "a cat walking on beach at sunset"
→ Returns task_id: "task_xxx"
2. agnes_video_poll → task_id: "task_xxx"
→ Returns status + progress %, or video URL when doneLicense
MIT
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