# ai.pictomancer/image-processing (remote · api.pictomancer.ai)

Image processing for AI agents. Resize, convert, compress, and pipeline images.

- Trust score: 63/100 (medium)
- Change this week: +5
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `api.pictomancer.ai`: 63/100 (this document), [markdown](https://verifymcp.io/servers/ai-pictomancer-image-processing/api.md), [page](https://verifymcp.io/servers/ai-pictomancer-image-processing/api)

## Channel facts

- Endpoint: `https://api.pictomancer.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `0.3.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-03.

- **Endpoint Security**: 60/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - Authorisation not fully verified: no authorisation is required to call this server, and 8 tool(s) never declared a destructiveHint. The MCP spec treats an absent hint as destructive by default, so we cannot call this surface safe.
  - HTTPS is enforced; there's no plaintext access path.
  - HSTS check failed: the Strict-Transport-Security header is absent.
  - DNSSEC is configured correctly; the domain's records validate against the full chain to the root.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 52/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 2740 tokens (~342/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 96/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 87% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

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

### Codex

```toml
[mcp_servers.ai-pictomancer-image-processing]
url = "https://api.pictomancer.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-pictomancer-image-processing": {
      "type": "remote",
      "url": "https://api.pictomancer.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-pictomancer-image-processing --url https://api.pictomancer.ai/mcp --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-pictomancer-image-processing:
    url: "https://api.pictomancer.ai/mcp"
```

### Other

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

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 63, 0)

- [security] Tool “resize_image” rewrote its description, which is the text the model reads
- [security] Tool “compress_image” rewrote its description, which is the text the model reads
- [security] Tool “convert_image” rewrote its description, which is the text the model reads
- [security] Tool “crop_image” rewrote its description, which is the text the model reads
- [functional regression] Schema quality: 253 → 342
- [cosmetic] “resize_image” added an optional parameter “width”
- [cosmetic] “crop_image” added an optional parameter “gravity”
- [cosmetic] “crop_image” added an optional parameter “threshold”
- [cosmetic] “crop_image” added an optional parameter “trim”
- [cosmetic] “resize_image” added an optional parameter “autorot”
- [cosmetic] “resize_image” added an optional parameter “gravity”
- [cosmetic] “resize_image” added an optional parameter “height”
- [cosmetic] “compress_image” added an optional parameter “autorot”
- [cosmetic] “compress_image” added an optional parameter “quality_target”
- [cosmetic] “convert_image” added an optional parameter “autorot”
- [cosmetic] “convert_image” added an optional parameter “quality_target”
- [cosmetic] “crop_image” added an optional parameter “autorot”
- [cosmetic] “crop_image” reworded the description of “height”
- [cosmetic] “crop_image” reworded the description of “width”
- [cosmetic] “crop_image” reworded the description of “x”
- [cosmetic] “crop_image” reworded the description of “y”
- [cosmetic] “crop_image” made “height” optional
- [cosmetic] “crop_image” made “width” optional
- [cosmetic] “crop_image” made “x” optional
- [cosmetic] “crop_image” made “y” optional

### 2026-08-02 (score 63, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-31 (score 62, +2)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-30 (score 60, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-29 (score 60, +1)

No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-28 (score 59, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-07-27 (score 58, 0)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-26 (score 58)

First indexed and scored.

## MCP tools (8)

### `get_format_info` (~43 tokens)

Get supported formats and options

Returns supported output formats and their configurable options.

\### Responses:

\**200**: Successful Response (Success Response)
Content-Type: application/json

### `analyze_image` (~138 tokens)

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 vision model in tokens. Always free. Dimensions are omitted if the image header cannot be read.

\### Responses:

\**200**: Successful Response (Success Response)
Content-Type: application/json

\**Example Response:**
\```json
{
  "size_bytes": 1
}
\```

Input parameters:

- `source` (string, required): Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...).

### `resize_image` (~496 tokens)

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.g. 0.5 = half size). Alternatively set 'width'+'height' for fill mode: resize and smart-crop to those exact dimensions in one call (optional 'gravity', default attention). The two modes are mutually exclusive.

\### Responses:

\**200**: Processed image binary (Success Response)
Content-Type: application/json
Content-Type: image/jpeg

\**Example Response:**
\```json
"string"
\```
Content-Type: image/png

\**Example Response:**
\```json
"string"
\```
Content-Type: image/webp

\**Example Response:**
\```json
"string"
\```

Input parameters:

- `autorot` (boolean): Apply EXIF orientation before resizing. Opt-in; default false, which preserves current byte-for-byte behavior.
- `delivery` (string)
- `format` (string): Output format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved.
- `gravity` (string): Fill-mode smart-crop strategy: one of ('attention', 'entropy', 'centre'). Only valid together with width and height; defaults to attention.
- `height` (integer): Target height in pixels for fill mode. Requires width.
- `scale` (number): Uniform scale factor applied to both axes (e.g. 0.5 = half size). Use this for simple scaling; use scale_x/scale_y for independent axes.
- `scale_x` (number): Horizontal scale factor (e.g. 0.5 = half width). If only scale_x is given, scale_y defaults to the same value.
- `scale_y` (number): Vertical scale factor (e.g. 0.75 = 75% height). Optional; defaults to scale_x if omitted.
- `source` (string, required): Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...).
- `width` (integer): Target width in pixels for fill mode: resize and smart-crop to these exact dimensions in one call. Requires height. Mutually exclusive with scale/scale_x/scale_y. Upscaling is allowed.

### `compress_image` (~446 tokens)

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 quality_target (0-1]: the smallest file with SSIM at or above the target, searched on the worker (jpeg, webp, avif; flat surcharge; outcome reported in X-Pictomancer-Quality-* headers). If the output is not smaller than the input, the request is free (X-Pig-Billed: 0) and does not consume free-tier quota.

\### Responses:

\**200**: Processed image binary (Success Response)
Content-Type: application/json
Content-Type: image/jpeg

\**Example Response:**
\```json
"string"
\```
Content-Type: image/png

\**Example Response:**
\```json
"string"
\```
Content-Type: image/webp

\**Example Response:**
\```json
"string"
\```

Input parameters:

- `autorot` (boolean): Apply EXIF orientation before compressing. Opt-in; default false, which preserves current byte-for-byte behavior.
- `delivery` (string)
- `format` (string): Output format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved.
- `q` (integer): Quality (1-100). Lower = smaller file. Typical values: 60-80 for web, 85-95 for print. Maps to libvips Q parameter.
- `quality_target` (number): Target SSIM (0-1]: the worker searches for the smallest file that still scores at least this. Alternative to q; mutually exclusive with it. Requires an explicit format among jpeg, webp, avif. Carries…
- `source` (string, required): Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...).
- `strip` (boolean): Strip metadata (EXIF, ICC profile, etc.) from the output. Reduces file size slightly.

### `convert_image` (~449 tokens)

Convert image format

Convert an image to a different format (jpeg, png, webp, tiff, gif, avif). Optionally set quality, strip metadata, enable lossless mode (webp, avif), or tune encoder effort (avif). Instead of a q number you can set quality_target (0-1]: the smallest file with SSIM at or above the target, searched on the worker (jpeg, webp, avif; flat surcharge; outcome reported in X-Pictomancer-Quality-* headers).

\### Responses:

\**200**: Processed image binary (Success Response)
Content-Type: application/json
Content-Type: image/jpeg

\**Example Response:**
\```json
"string"
\```
Content-Type: image/png

\**Example Response:**
\```json
"string"
\```
Content-Type: image/webp

\**Example Response:**
\```json
"string"
\```

Input parameters:

- `autorot` (boolean): Apply EXIF orientation before converting. Opt-in; default false, which preserves current byte-for-byte behavior.
- `delivery` (string)
- `effort` (integer): AV1 encoder CPU effort (0-9). Higher = smaller file, slower. Only applies to avif.
- `format` (string, required): Target format: jpeg, png, webp, tiff, gif, or avif.
- `lossless` (boolean): Enable lossless encoding. Only applies to webp and avif.
- `q` (integer): Quality (1-100). Maps to libvips Q parameter.
- `quality_target` (number): Target SSIM (0-1]: the worker searches for the smallest file that still scores at least this. Alternative to q; mutually exclusive with it and with lossless. Only for jpeg, webp, avif. Carries a flat…
- `source` (string, required): Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...).
- `strip` (boolean): Strip metadata (EXIF, ICC profile, etc.) from the output.

### `crop_image` (~501 tokens)

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 (width, height) in pixels. Smart crop: give 'gravity' (attention, entropy, centre) plus width and height; the window is picked automatically, clamped to the source if the target is larger. Trim: set 'trim: true' (optional 'threshold') to remove a uniform background border via content detection; the applied rect is reported in X-Pictomancer-Trim-* headers.

\### Responses:

\**200**: Processed image binary (Success Response)
Content-Type: application/json
Content-Type: image/jpeg

\**Example Response:**
\```json
"string"
\```
Content-Type: image/png

\**Example Response:**
\```json
"string"
\```
Content-Type: image/webp

\**Example Response:**
\```json
"string"
\```

Input parameters:

- `autorot` (boolean): Apply EXIF orientation before cropping. Opt-in; default false, which preserves current byte-for-byte behavior.
- `delivery` (string)
- `format` (string): Output format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved.
- `gravity` (string): Smart-crop mode: picks the window automatically. One of ('attention', 'entropy', 'centre'). Requires width and height; mutually exclusive with x/y and trim. A target larger than the source clamps to…
- `height` (integer): Height of the crop rectangle in pixels. Required in manual and gravity modes.
- `source` (string, required): Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...).
- `threshold` (number): Trim sensitivity (must be positive; default 10.0). Only valid together with trim: true.
- `trim` (boolean): Trim mode: removes a uniform background border via content detection. Mutually exclusive with x/y/width/height/gravity.
- `width` (integer): Width of the crop rectangle in pixels. Required in manual and gravity modes.
- `x` (integer): Left edge of the crop rectangle in pixels. Manual mode only.
- `y` (integer): Top edge of the crop rectangle in pixels. Manual mode only.

### `optimize_for_vision` (~458 tokens)

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 before and after. Every provider downscales oversized input before counting tokens, so this alone saves bytes and upload latency rather than tokens. Pass max_tokens to trade resolution for tokens: that lever is continuous on Claude, unavailable on OpenAI (cost follows the aspect ratio alone), and on Gemini reaches only a flat 258. An image already within budget is returned untouched and free (X-Pig-Billed: 0).

\### Responses:

\**200**: Processed image binary (Success Response)
Content-Type: application/json
Content-Type: image/jpeg

\**Example Response:**
\```json
"string"
\```
Content-Type: image/png

\**Example Response:**
\```json
"string"
\```
Content-Type: image/webp

\**Example Response:**
\```json
"string"
\```

Input parameters:

- `delivery` (string)
- `format` (string): Output format: jpeg, png, webp, tiff, gif, or avif. If omitted, the original format is preserved.
- `max_tokens` (integer): Optional cap on what the image may cost the target model. Without it the image is resized to the model's own ceiling, which saves bytes and upload latency but no tokens, because every provider alread…
- `q` (integer): Quality (1-100). Maps to libvips Q parameter.
- `source` (string, required): Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...).
- `target_model` (string, required): Vision model the image is being prepared for, e.g. claude-opus-5, gpt-4o, gemini-2.5-pro. Unknown ids are rejected rather than guessed: the wrong limits would silently resize to the wrong size.

### `image_pipeline` (~209 tokens)

Run a multi-step image pipeline

Chain multiple operations (resize, compress, convert, crop) in sequence. The image is fetched once, then each operation is applied to the output of the previous one. Max 10 operations per pipeline.

\### Responses:

\**200**: Processed image binary (Success Response)
Content-Type: application/json
Content-Type: image/jpeg

\**Example Response:**
\```json
"string"
\```
Content-Type: image/png

\**Example Response:**
\```json
"string"
\```
Content-Type: image/webp

\**Example Response:**
\```json
"string"
\```

Input parameters:

- `delivery` (string)
- `operations` (array, required): Ordered list of operations to apply sequentially. Each operation receives the output of the previous one. Max 10.
- `source` (string, required): Image source: a public URL (https://...) or a base64-encoded string (optionally as a data URI like data:image/png;base64,...).

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-pictomancer-image-processing/api#diagnostics

## Score history

- 2026-08-03: 63
- 2026-08-02: 63
- 2026-08-01: 62
- 2026-07-31: 62
- 2026-07-30: 60
- 2026-07-29: 60
- 2026-07-28: 59
- 2026-07-27: 58
- 2026-07-26: 58

## Links

- Remote endpoint: https://api.pictomancer.ai/mcp
- Repository: https://gitlab.com/pictomancer.ai/pig-gateway
- Changelog RSS feed: https://verifymcp.io/servers/ai-pictomancer-image-processing/api/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-pictomancer-image-processing/api/changelog.json
- HTML version of this page: https://verifymcp.io/servers/ai-pictomancer-image-processing/api