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Iris — image facts with pixel-level proof. OCR runs only when requested.
About
Iris — image facts with pixel-level proof. OCR runs only when requested.
Security Report
Iris is a well-designed image analysis MCP server with strong security fundamentals. The codebase demonstrates careful input validation, proper error handling, and no evidence of malicious patterns or credential exposure. Permissions align appropriately with its image processing purpose. Minor code quality observations around broad exception handling and optional semantic service trust do not materially impact security. Supply chain analysis found 5 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
8 files analyzed · 9 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-sylphxai-iris": {
"args": [
"-y",
"@sylphx/iris"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
Merged into anymd (2026-09-25). anymd reads PDFs, Office files, EPUB, web pages, images and video into clean Markdown for AI agents:
npx -y @sylphx/anymd. This repository is archived.
Iris
Image facts with pixel-level proof.
Dimensions, format, and metadata by default. Local Tesseract OCR only when requested.
npm @sylphx/iris · bin iris · MCP io.github.SylphxAI/iris
The problem
A screenshot is not a paragraph. An agent that guesses the text, the size, or the pixels it never measured will cite something it cannot show.
The difference
| The ask | Iris returns |
|---|---|
| “Read this screenshot.” | dimensions, format, metadata, and trust warnings. No OCR unless you ask. |
| “Read the text.” | OCR lines with boxes, only when include_ocr is true or profile is quality. |
| “What changed between these two captures?” | changed pixels and a changed box, when both images are the same size. |
| “Crop this region.” | pixel bounds and a hash. PNG bytes only if include_region_image is true. |
Iris does not run a generative vision model. A missing Tesseract binary is a gap, not a made-up transcription.
Install
npx -y @sylphx/iris
That starts a stdio MCP server. No API key. OCR needs the tesseract binary on PATH.
| Your client | Setup |
|---|---|
| Any agent / CLI | npx -y @sylphx/iris |
| Claude Code | claude mcp add iris -- npx -y @sylphx/iris |
| Claude Desktop / Cursor / VS Code / Codex | "command": "npx", "args": ["-y", "@sylphx/iris"] |
{
"mcpServers": {
"iris": { "command": "npx", "args": ["-y", "@sylphx/iris"] }
}
}
A read, then text only if you ask
{ "path": "/absolute/path/to/screenshot.png" }
fast, or no profile, returns dimensions, format, metadata, and trust warnings. It does not run OCR.
{
"path": "/absolute/path/to/screenshot.png",
"include_ocr": true
}
include_ocr: true, or profile: "quality", runs local Tesseract. Explicit include_ocr: false wins over quality. If Tesseract is missing, status stays ok and gaps includes OCR_UNAVAILABLE.
Tools
| Tool | When to call it |
|---|---|
read_image | One local image. Geometry and metadata. OCR only when requested. An optional region crops inside this read. |
image_probe | Format, dimensions, pixel count, and source hash. No OCR and no crop. |
crop_region | One citeable region: bounds and hash. Set include_region_image for PNG bytes. No OCR. |
compare_images | Changed pixels between two images of equal dimensions. No OCR. |
What it will not pretend
- GPS fields are always redacted. There is no switch that puts them back.
- The default file cap is 32 MiB (33,554,432 bytes). A cropped region may not exceed 67,108,864 pixels.
compare_imagesrequires equal dimensions. It does not resize either image.- OCR lines are
{text, bbox, confidence}. The default language iseng. - Oversized or undecodable files fail with an error. They are not returned as a successful read.
Companion MCP tools
| Product | Job |
|---|---|
| Citra | PDF answers with page-level proof |
| Cue | Video timelines and timestamp evidence |
| Spine | Repository architecture and impact |
| Locus | Exact code-chunk retrieval |
| Lookout | Web research with source excerpts |
Each product is independent. Install only the tools your agent needs.
Documentation
| Website | sylphxai.github.io/iris |
| Quickstart | Install and first call |
| Compare | What Iris does, and what it refuses |
Development
bun install
bun test
bun run check
bun run docs:build
cargo test
License
MIT
Reviews
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