# Pictomancer Image Processing MCP server

Source: https://glimind.com/server/mcp-registry%2Fai.pictomancer%2Fimage-processing
Registry id: `mcp-registry/ai.pictomancer/image-processing`
Status: live (checked 2026-10-27T07:01:52.494Z)

## Measurements (30 days)

- Uptime: 99.16%
- Checks: 5040
- Outages (90 days): 44

## Install

```json
{
  "mcpServers": {
    "pictomancer-image-processing-mcp-server": {
      "type": "http",
      "url": "https://api.pictomancer.ai/mcp"
    }
  }
}
```

Claude Code:

```sh
claude mcp add --transport http pictomancer-image-processing-mcp-server https://api.pictomancer.ai/mcp
```

## Tools (11)

- `analyze_image`: Analyze an image Fetch an image from a URL or base64 and return its metadata: size in bytes, pixel dimensions, source format, and what it costs every supported 
- `compress_image`: Compress an image Re-encode an image with quality/format options to reduce file size. Supports jpeg, png, webp, tiff, gif. Instead of a q number you can set qua
- `convert_image`: Convert image format Convert an image to a different format (jpeg, png, webp, tiff, gif, avif). Optionally set quality, strip metadata, enable lossless mode (we
- `crop_image`: Crop an image Extract a rectangular region from an image, in one of three mutually exclusive modes. Manual: give the top-left corner (x, y) and dimensions (widt
- `estimate_cost`: Estimate the price of an operation Returns the exact USD price this API would charge for an operation on an input of the given size, without fetching or process
- `get_format_info`: Get supported formats and options Returns supported output formats and their configurable options. ### Responses: **200**: Successful Response (Success Response
- `image_pipeline`: Run a multi-step image pipeline Chain multiple operations (resize, compress, convert, crop) in sequence. The image is fetched once, then each operation is appli
- `optimize_for_vision`: Resize an image for a vision model Resize an image to the largest size a given vision model still benefits from, and report what it costs that model in tokens b
- `optimize_generated_image`: Optimize an AI-generated image for the web The step after image generation. gpt-image, DALL-E, Flux, Midjourney and Stable Diffusion hand back 2-8 MB PNGs; this
- `remove_image_background`: Remove the background from an image Cut the subject (person, product, animal, object) out of a photo and return it on a transparent background as png (default),
- `resize_image`: Resize an image Scale an image by a factor, or fill an exact box. Use 'scale' for uniform scaling, or 'scale_x'/'scale_y' for independent axes (float factors, e

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.