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Quiver AI MCP Server
Provides tools to generate SVG vector graphics from text prompts and convert raster images into vector formats using the Quiver AI API. It enables seamless integration of vector graphic creation and image vectorization directly within MCP-compatible clients.
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Quiver AI MCP Server
An MCP server that exposes Quiver AI vector graphics APIs as tools, built with XMCP and deployable to Railway.
Tools
| Tool | Description |
|---|---|
generate_svg | Generate SVG vector graphics from a text prompt, with optional reference images |
vectorize_image | Convert a raster image (PNG, JPG) into an SVG vector graphic |
list_models | List available Quiver AI models |
Setup
-
Copy
.env.exampleto.envand fill in your keys:QUIVER_API_KEYβ from Quiver AIMCP_API_KEYβ a strong random string you generate (used to authenticate MCP clients)
-
Install and run:
npm install npm run dev -
The MCP endpoint is available at
http://localhost:3000/mcp
Deploy to Railway
- Push this repo to GitHub
- Create a new Railway project from the repo
- Set environment variables in Railway dashboard:
QUIVER_API_KEYMCP_API_KEY
- Railway will build and deploy using the Dockerfile
Connect from Claude Desktop
Add to your Claude Desktop MCP config:
{
"mcpServers": {
"quiver-ai": {
"command": "npx",
"args": [
"mcp-remote",
"https://your-railway-domain.up.railway.app/mcp",
"--header",
"Authorization:Bearer YOUR_MCP_API_KEY"
]
}
}
}
