Image Analyzer MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Image Analyzer MCP Serveranalyze the image at ~/Downloads/photo.jpg"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Image Analyzer MCP Server
An MCP (Model Context Protocol) server that provides image analysis tools using Pillow (PIL) — no external APIs required. All processing is done locally.
Features
analyze_image — Get dimensions, format, color mode, file size, aspect ratio, and DPI from an image file
analyze_image_base64 — Same analysis from a base64-encoded image string
get_dominant_colors — Extract dominant colors as hex values with RGB components and approximate coverage percentages
get_image_metadata — Read EXIF data including GPS coordinates, camera make/model, date taken, orientation, and more
convert_image — Convert between PNG, JPEG, WEBP, and GIF formats, returned as base64
Related MCP server: TSCodex MCP Images
Requirements
Python 3.10+
mcp>=1.0.0Pillow>=10.0.0
Installation
cd image-analyzer-mcp
pip install -r requirements.txtUsage
Run with stdio transport (default — for MCP clients)
python server.pyThis starts the server over stdio, suitable for integration with MCP clients (e.g., Claude Desktop, Cursor, etc.).
Run with SSE transport (HTTP)
python server.py --transport sse --host 0.0.0.0 --port 8080Requires uvicorn (pip install uvicorn).
MCP Client Configuration
Add to your MCP client config:
{
"mcpServers": {
"image-analyzer": {
"command": "python",
"args": ["/path/to/image-analyzer-mcp/server.py"],
"transport": "stdio"
}
}
}Tool Reference
analyze_image
Analyze an image file.
Parameter | Type | Required | Description |
| string | yes | Path to image file |
Returns: dimensions, format, mode, file size, aspect ratio, DPI.
analyze_image_base64
Analyze an image from base64-encoded data.
Parameter | Type | Required | Description |
| string | yes | Base64-encoded image data |
Returns: Same as analyze_image, but without the file path.
get_dominant_colors
Extract dominant colors from an image.
Parameter | Type | Required | Default | Description |
| string | yes | — | Path to image file |
| integer | no | 5 | Number of dominant colors (max 128) |
Returns: List of dominant colors with hex values, RGB components, and approximate percentage coverage.
get_image_metadata
Extract EXIF metadata from an image.
Parameter | Type | Required | Description |
| string | yes | Path to image file |
Returns: EXIF data including GPS coordinates, camera info, date taken, orientation, etc.
convert_image
Convert an image to a different format.
Parameter | Type | Required | Default | Description |
| string | yes | — | Path to image file |
| string | yes | — | PNG, JPEG, WEBP, or GIF |
| integer | no | 85 | Output quality (1-100, JPEG/WEBP only) |
Returns: Base64-encoded converted image data.
License
MIT
Pricing
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