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Quiver AI MCP Server

by · github.com/scott-sowers/quiver-ai-mcp

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.

Unclaimed last commit 6 months ago files
InstallView source
34Low

Scored 6 months ago · breakdown

About Quiver AI MCP Server

Quiver AI MCP Server is an MCP server published by scott-sowers in the Files category: 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.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/scott-sowers/quiver-ai-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Tools (3)

generate_svgGenerate SVG vector graphics from a text prompt, with optional reference images

Parameters not published.

list_modelsList available Quiver AI models

Parameters not published.

vectorize_imageConvert a raster image (PNG, JPG) into an SVG vector graphic

Parameters not published.

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Security checks

  • ✓README presentThe repository ships documentation.

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README

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

  1. 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)

  2. Install and run:

    npm install
npm run dev

  3. The MCP endpoint is available at http://localhost:3000/mcp

Deploy to Railway

  1. Push this repo to GitHub
  2. Create a new Railway project from the repo
  3. Set environment variables in Railway dashboard:
    • QUIVER_API_KEY
    • MCP_API_KEY
  4. 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"
      ]
    }
  }
}

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Quiver AI MCP Server

How do I install Quiver AI MCP Server?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Quiver AI MCP Server safe to use with an AI agent?

Its trust score is 34 out of 100 (low). It passes 1 of the 1 static security checks run so far. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Quiver AI MCP Server still maintained?

The last commit was 6 months ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.