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Iris — image facts with pixel-level proof. Local-first metadata, OCR boxes, layout, crops, and image diff evidence.

MCP ServersOfficial Registry2 stars0 forksTypeScriptMITUpdated today
ClaudeWave Trust Score
95/100
Verified
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 9/23/2026
Install in Claude Code / Claude Desktop
Method: NPX · @sylphx/iris
Claude Code CLI
claude mcp add iris -- npx -y @sylphx/iris
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "iris": {
      "command": "npx",
      "args": ["-y", "@sylphx/iris"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
Use cases

MCP Servers overview

# Iris

### Image facts with pixel-level proof

Iris gives agents deterministic facts from screenshots, UI captures, forms,
diagrams, charts, and other images. It returns dimensions, metadata, OCR
regions, layout blocks, crops, and trust warnings without requiring a
generative vision model.

```bash
npx -y @sylphx/iris
```

For Claude Code:

```bash
claude mcp add iris -- npx -y @sylphx/iris
```

## The fastest useful workflow

```json
{
  "path": "/absolute/path/to/screenshot.png",
  "include_ocr": true
}
```

The result includes image dimensions, hash, OCR lines with bounding boxes,
layout blocks, a text map for agents, and explicit warnings or gaps.

## Jobs Iris is built for

| Ask your agent | Iris returns |
| --- | --- |
| “Read this screenshot.” | text regions and layout facts |
| “What changed between these UI captures?” | image diff evidence |
| “Extract this form.” | OCR lines and boxes |
| “Crop the important region.” | citeable pixel evidence |
| “Check the image metadata.” | format, dimensions, EXIF trust warnings |

## Tool surface

| Tool | Purpose |
| --- | --- |
| `read_image` | Primary image facts and optional OCR |
| `image_probe` | Cheap metadata and geometry probe |
| `crop_region` | Extract a citeable pixel region |
| `compare_images` | Report pixel and layout differences between two images |

## Predictable defaults

- `fast` returns deterministic metadata, geometry, and layout.
- `quality` explicitly enables OCR and local semantic helpers.
- Generative captions and object detection are opt-in and never authoritative.
- GPS metadata is redacted unless explicitly requested.
- Oversized or unsupported files fail with a structured error.

## Why agents trust it

Every result keeps source path and hash, pixel locators, extraction route,
confidence or warnings, and known gaps. OCR and optional model output never
replace deterministic geometry.

## Companion MCP tools

| Product | Job |
| --- | --- |
| [Citra](https://github.com/SylphxAI/citra) | PDF answers with page-level proof |
| [Cue](https://github.com/SylphxAI/cue) | Video timelines and timestamp evidence |
| [Spine](https://github.com/SylphxAI/spine) | Repository architecture and impact |
| [Locus](https://github.com/SylphxAI/locus) | Exact code-chunk retrieval |
| [Lookout](https://github.com/SylphxAI/lookout) | Web research with source excerpts |

Each product is independent. Install only the tools your agent needs.

## Development

```bash
bun install
bun run build
bun test
cargo test
bun run benchmark:public-proof
bun run benchmark:release-gate
```

## License

MIT
ai-agentscomputer-visiondeveloper-toolsimage-diffimage-processinglocal-firstmcpmodel-context-protocolocrrustscreenshots

What people ask about iris

What is SylphxAI/iris?

+

SylphxAI/iris is mcp servers for the Claude AI ecosystem. Iris — image facts with pixel-level proof. Local-first metadata, OCR boxes, layout, crops, and image diff evidence. It has 2 GitHub stars and its last recorded update is dated 2026-09-23.

How do I install iris?

+

You can install iris by cloning the repository (https://github.com/SylphxAI/iris) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is SylphxAI/iris safe to use?

+

Our security agent has analyzed SylphxAI/iris and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains SylphxAI/iris?

+

SylphxAI/iris is maintained by SylphxAI. The last recorded GitHub activity is dated 2026-09-23, with 0 open issues.

Are there alternatives to iris?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

Deploy iris to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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Featured on ClaudeWave: SylphxAI/iris
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