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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.example to .env and fill in your keys:
- QUIVER_API_KEY — from Quiver AI
- MCP_API_KEY — 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_KEY
- MCP_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"
      ]
    }
  }
}