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cpramod

vision-mcp

by cpramod
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JavaScript
Remote

Vision MCP

A Model Context Protocol (MCP) server that provides image analysis capabilities using vision-capable AI models.

Features

  • Image Analysis: Analyze images for objects, text, colors, and context

  • Image Comparison: Compare multiple images and identify differences

  • Text Extraction (OCR): Extract text from images with formatting preservation

  • Scene Description: Get detailed descriptions of scenes and settings

Related MCP server: mcp-see

Installation

Option 1: Use directly with npx (no install needed)

Add to Claude Desktop config:

{
  "mcpServers": {
    "vision": {
      "command": "npx",
      "args": ["github:cpramod/vision-mcp"],
      "env": {
        "OPENAI_API_KEY": "your-api-key",
        "OPENAI_BASE_URL": "https://api.openai.com/v1",
        "VISION_MODEL": "gpt-4o"
      }
    }
  }
}

Option 2: Install globally from GitHub

npm install -g github:cpramod/vision-mcp

Then use in Claude Desktop config:

{
  "mcpServers": {
    "vision": {
      "command": "vision-mcp",
      "env": {
        "OPENAI_API_KEY": "your-api-key",
        "OPENAI_BASE_URL": "https://api.openai.com/v1",
        "VISION_MODEL": "gpt-4o"
      }
    }
  }
}

Option 3: Install from local clone

git clone https://github.com/cpramod/vision-mcp.git
cd vision-mcp
npm install
npm run build

Then use the local path in Claude Desktop config:

{
  "mcpServers": {
    "vision": {
      "command": "node",
      "args": ["/path/to/vision-mcp/dist/index.js"],
      "env": {
        "OPENAI_API_KEY": "your-api-key",
        "OPENAI_BASE_URL": "https://api.openai.com/v1",
        "VISION_MODEL": "gpt-4o"
      }
    }
  }
}

Configuration

Environment Variables

Variable

Description

Required

OPENAI_API_KEY or API_KEY

API key for the vision provider

For most providers

OPENAI_BASE_URL or API_BASE_URL

Custom API endpoint URL

No (defaults to OpenAI)

VISION_MODEL or MODEL

Model name to use

No (defaults to gpt-4o)

Usage with Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json):

OpenAI:

{
  "mcpServers": {
    "vision": {
      "command": "npx",
      "args": ["github:cpramod/vision-mcp"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key",
        "VISION_MODEL": "gpt-4o"
      }
    }
  }
}

Anthropic Claude via OpenRouter:

{
  "mcpServers": {
    "vision": {
      "command": "npx",
      "args": ["github:cpramod/vision-mcp"],
      "env": {
        "OPENAI_BASE_URL": "https://openrouter.ai/api/v1",
        "OPENAI_API_KEY": "your-openrouter-key",
        "VISION_MODEL": "anthropic/claude-3.5-sonnet"
      }
    }
  }
}

Google Gemini via OpenRouter:

{
  "mcpServers": {
    "vision": {
      "command": "npx",
      "args": ["github:cpramod/vision-mcp"],
      "env": {
        "OPENAI_BASE_URL": "https://openrouter.ai/api/v1",
        "OPENAI_API_KEY": "your-openrouter-key",
        "VISION_MODEL": "google/gemini-pro-vision"
      }
    }
  }
}

Ollama (local):

{
  "mcpServers": {
    "vision": {
      "command": "npx",
      "args": ["github:cpramod/vision-mcp"],
      "env": {
        "OPENAI_BASE_URL": "http://localhost:11434/v1",
        "VISION_MODEL": "llava"
      }
    }
  }
}

Groq:

{
  "mcpServers": {
    "vision": {
      "command": "npx",
      "args": ["github:cpramod/vision-mcp"],
      "env": {
        "OPENAI_BASE_URL": "https://api.groq.com/openai/v1",
        "OPENAI_API_KEY": "your-groq-key",
        "VISION_MODEL": "llama-3.2-11b-vision-preview"
      }
    }
  }
}

LM Studio (local):

{
  "mcpServers": {
    "vision": {
      "command": "npx",
      "args": ["github:cpramod/vision-mcp"],
      "env": {
        "OPENAI_BASE_URL": "http://localhost:1234/v1",
        "VISION_MODEL": "local-model"
      }
    }
  }
}

Available Tools

analyze_image

Analyze an image using vision AI.

Parameters:

  • image (required): URL or base64-encoded image data

  • prompt (optional): Custom analysis prompt

  • detail (optional): "low", "high", or "auto" detail level

Example:

{
  "name": "analyze_image",
  "arguments": {
    "image": "https://example.com/image.jpg",
    "prompt": "What's in this image?"
  }
}

compare_images

Compare 2-4 images.

Parameters:

  • images (required): Array of image URLs or base64 data (2-4 images)

  • prompt (optional): Custom comparison prompt

extract_text

Extract text from images (OCR).

Parameters:

  • image (required): URL or base64-encoded image

  • preserve_formatting (optional): Maintain layout (default: true)

describe_scene

Get detailed scene descriptions.

Parameters:

  • image (required): URL or base64-encoded image

  • focus (optional): Focus area (e.g., "people", "architecture")

Supported Image Formats

  • JPEG, PNG, GIF, WebP

  • URLs or base64-encoded data URIs

Development

npm run dev    # Build and run
npm run build  # Compile TypeScript
npm start      # Run compiled server

Publishing to npm (optional)

npm login
npm publish

After publishing to npm, users can install with:

{
  "mcpServers": {
    "vision": {
      "command": "npx",
      "args": ["vision-mcp"],
      "env": {
        "OPENAI_API_KEY": "your-api-key",
        "OPENAI_BASE_URL": "https://api.openai.com/v1",
        "VISION_MODEL": "gpt-4o"
      }
    }
  }
}

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