Iris — image facts with pixel-level proof. Local-first metadata, OCR boxes, layout, crops, and image diff evidence.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add iris -- npx -y @sylphx/iris{
"mcpServers": {
"iris": {
"command": "npx",
"args": ["-y", "@sylphx/iris"]
}
}
}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
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.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/sylphxai-iris)<a href="https://claudewave.com/repo/sylphxai-iris"><img src="https://claudewave.com/api/badge/sylphxai-iris" alt="Featured on ClaudeWave: SylphxAI/iris" width="320" height="64" /></a>More MCP Servers
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
An open-source AI agent that brings the power of Gemini directly into your terminal.
Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface
🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and tricks: https://x.com/Scrapling_dev
The fastest path to AI-powered full stack observability, even for lean teams.