Image Analyzer Server
БесплатноНе проверенProvides local image analysis tools using Pillow for dimensions, colors, metadata, and format conversion without external APIs.
Описание
Provides local image analysis tools using Pillow for dimensions, colors, metadata, and format conversion without external APIs.
README
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
Requirements
- Python 3.10+
mcp>=1.0.0Pillow>=10.0.0
Installation
cd image-analyzer-mcp
pip install -r requirements.txt
Usage
Run with stdio transport (default — for MCP clients)
python server.py
This 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 8080
Requires 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 |
|---|---|---|---|
image_path |
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 |
|---|---|---|---|
base64_data |
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 |
|---|---|---|---|---|
image_path |
string | yes | — | Path to image file |
count |
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 |
|---|---|---|---|
image_path |
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 |
|---|---|---|---|---|
image_path |
string | yes | — | Path to image file |
target_format |
string | yes | — | PNG, JPEG, WEBP, or GIF |
quality |
integer | no | 85 | Output quality (1-100, JPEG/WEBP only) |
Returns: Base64-encoded converted image data.
License
MIT
Pricing
Установка Image Analyzer Server
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/Rumblingb/image-analyzer-mcpFAQ
Image Analyzer Server MCP бесплатный?
Да, Image Analyzer Server MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Image Analyzer Server?
Нет, Image Analyzer Server работает без API-ключей и переменных окружения.
Image Analyzer Server — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Image Analyzer Server в Claude Desktop, Claude Code или Cursor?
Открой Image Analyzer Server на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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