Agnes MCP Server

Agnes MCP Server

Enables AI assistants to generate images and videos via the Agnes AI API, supporting text-to-image, image-to-image, and video generation.

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README

Agnes MCP Server

An MCP (Model Context Protocol) server that wraps the Agnes AI image and video generation APIs, enabling AI assistants (Claude, Cursor, VS Code, etc.) to generate images and videos via standardized tool calls.

Features

  • Image Generation — Text-to-image and image-to-image via generate_image
  • Video Generation — Text-to-video and image-to-video via generate_video + get_video
  • Two Transport Modes — stdio (local) and Streamable HTTP (remote)
  • Auto Download — Optionally save generated media to disk automatically
  • Blocking & Async — wait=true for synchronous generation, or poll with get_video

Quick Start

1. Install Dependencies

cd agnes-mcp-server
npm install
npm run build

2. Set API Key

export AGNES_API_KEY="sk-agnes-your-api-key-here"

3. Run the Server

Stdio mode (default, for local MCP clients like Claude Desktop, Cursor):

npm run start
# or
node agnes-mcp-server.cjs

Streamable HTTP mode (for remote MCP clients):

MCP_TRANSPORT=http npm run start:http
# Default port: 3100 (configurable via HTTP_PORT)

4. Configure Your MCP Client

Add this to your MCP client configuration (e.g., .mcp.json):

{
  "mcpServers": {
    "agnes": {
      "command": "node",
      "args": ["agnes-mcp-server.cjs"],
      "env": {
        "AGNES_API_KEY": "sk-agnes-your-api-key-here"
      }
    }
  }
}

Available Tools

Tool Description
generate_image Generate or edit an image. Supports text-to-image and image-to-image modes.
generate_video Submit a video generation task. Set wait=true to block until complete.
get_video Query video generation status and optionally download the result.

Tool Parameters

generate_image

Parameter Type Required Default Description
prompt string Yes — Text description of the desired image
size string No 1024x1024 Image dimensions (e.g., 512x512, 1024x1024)
images string[] No — Input images (local file paths or base64 data URIs)
format "url" | "b64" No url Output format when no outputDir is set
outputDir string No — Directory to download the image file

generate_video

Parameter Type Required Default Description
prompt string Yes — Text description of the desired video
image string | string[] No — Input image(s) for image-to-video mode
mode string No — Generation mode (e.g., "image-to-video")
width number No — Video width
height number No — Video height
num_frames number No — Number of frames
frame_rate number No — Frames per second
seed number No — Random seed for reproducibility
negative_prompt string No — Things to exclude from the video
outputDir string No — Directory to download the video file
wait boolean No false Block until generation completes

get_video

Parameter Type Required Default Description
videoId string Yes — Video ID returned by generate_video
taskId string No — Task ID (fallback for querying)
outputDir string No — Directory to download the video file

Environment Variables

Variable Required Default Description
AGNES_API_KEY Yes — Your Agnes API key (starts with sk-)
MCP_TRANSPORT No stdio Transport mode: stdio or http
HTTP_PORT No 3100 HTTP server port (only in http mode)
DEFAULT_DOWNLOAD_DIR No — Root directory for auto-downloaded media

Project Structure

agnes-mcp-server/
├── src/
│   ├── app/               # Server entry points (stdio, http, bundle)
│   ├── client/            # HTTP client wrapper
│   ├── core/              # Core MCP setup and registry
│   ├── module/
│   │   ├── image/         # Image generation service
│   │   └── video/         # Video generation service
│   ├── providers/         # API providers (AgnesClient, image, video)
│   ├── tools/             # MCP tool implementations
│   └── types/             # Shared types and result formatters
├── agnes-mcp-server.cjs   # Bundled entry point
├── agnes-bundle.cjs       # Standalone bundle
├── SKILL.md               # MCP skill definition
├── TOKEN_AUTH.md          # Authentication documentation
└── package.json

Development

# Watch mode (TypeScript → Node)
npm run dev

# Build TypeScript
npm run build

# Create standalone bundle
npm run bundle

# Run smoke test
npm run test

Test Script

A standalone test script is included for verifying the image-to-video API flow:

npx tsx test-video-image.ts <local-image-path> <api-key>
# or
IMAGE_PATH=test.jpg AGNES_API_KEY=sk-xxx npx tsx test-video-image.ts

License

MIT

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