vision-mcp

An MCP server that helps non-vision models extract and understand images and screenshots via OpenRouter multimodal models.

Features

• analyze_image — Send an image (local file or URL) with a text prompt to any OpenRouter vision model and get a natural-language response.

• screen — Capture a screenshot of an application window by PID or process name (Windows only, uses PrintWindow via PowerShell).

Related MCP server: Vision MCP Server

Prerequisites

• Node.js 18+ (ESM)

• An OpenRouter API key with access to a vision-capable model

Setup

# Clone and install
git clone <your-repo>
cd vision-mcp
npm install

# Configure environment
cp .env.example .env

Edit .env and set your OpenRouter key and preferred model:

OPENROUTER_API_KEY=sk-or-v1-...
OPENROUTER_MODEL=google/gemini-2.0-flash-lite-preview-02-05:free

Environment variables

Build & Run

npm run build
npm start

The server uses stdio transport and is designed to be launched by an MCP-enabled host (e.g. Claude, OpenCode). Example configuration block for your MCP client:

{
  "mcpServers": {
    "vision-mcp": {
      "command": "npx",
      "args": ["-y", "@forloopcodes/visionmcp"],
      "env": {
        "OPENROUTER_API_KEY": "sk-or-v1-...",
        "OPENROUTER_MODEL": "google/gemma-4-31b-it:free"
      }
    }
  }
}

Tools

analyze_image

Analyze an image using a vision model.

Arguments:

Local images are loaded, validated (size, path scope), and sent as base64 data URIs. Remote URLs are passed through directly.

screen

Capture a screenshot of a running application window (Windows only).

Arguments:

Provide either target or pid. The server uses PrintWindow via a compiled C# snippet invoked through PowerShell. Supports PW_RENDERFULLCONTENT for DPI-aware captures.

Architecture

src/
├── server.ts          # MCP server entry point, tool routing
├── image.ts           # Image loading, validation, base64 encoding
├── openrouter.ts      # OpenRouter API client (multimodal chat completions)
├── types.ts           # Shared TypeScript interfaces for API payloads
└── screen/
    ├── index.ts       # Platform abstraction for screen capture
    └── windows.ts     # PowerShell + Win32 implementation (PrintWindow)

The server runs on the Model Context Protocol SDK with stdio transport. Image analysis requests are forwarded to OpenRouter's /chat/completions endpoint with a 60-second timeout. Security boundaries are enforced at the image loader — only files within the working directory are accepted.

Security

• Local image paths are checked against the project root to prevent directory traversal.

• Screen captures are written to the OS temp directory ($TMPDIR).

• The PowerShell execution uses -ExecutionPolicy Bypass for the embedded C# script; no external .ps1 files are written to disk.

License

MIT