Image Reader MCP

Evidence-first image MCP. Agent Media Twin with metadata and citeable OCR evidence.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "image-reader-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@sylphx/iris"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Image Reader MCP.

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

Documentation Overview

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

Terminal

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"]`

config.json

{
  "mcpServers": {
    "iris": { "command": "npx", "args": ["-y", "@sylphx/iris"] }
  }
}

A read, then text only if you ask

config.json

{ "path": "/absolute/path/to/screenshot.png" }

fast, or no profile, returns dimensions, format, metadata, and trust warnings. It does not run OCR.

config.json

{
  "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.

Reference: tools · defaults

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_images requires equal dimensions. It does not resize either image.
OCR lines are {text, bbox, confidence}. The default language is eng.
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

bash

bun install
bun test
bun run check
bun run docs:build
cargo test

License

MIT

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

Package downloads in the last 30 days.

Last commit

2d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Image Reader MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "image-reader-mcp": { "command": "npx", "args": ["-y","@sylphx/iris"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

11/15 checks healthy over the last 45d

55Quality signal: Good · 55/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity7/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev · @sylphx/iris (npm)

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Image Reader MCP →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

Image Reader MCP

Evidence-first image MCP. Agent Media Twin with metadata and citeable OCR evidence.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "image-reader-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@sylphx/iris"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (4)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by Image Reader MCP.

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

Documentation Overview

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

Terminal

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"]`

config.json

{
  "mcpServers": {
    "iris": { "command": "npx", "args": ["-y", "@sylphx/iris"] }
  }
}

A read, then text only if you ask

config.json

{ "path": "/absolute/path/to/screenshot.png" }

fast, or no profile, returns dimensions, format, metadata, and trust warnings. It does not run OCR.

config.json

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

Reference: tools · defaults

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_images requires equal dimensions. It does not resize either image.
OCR lines are {text, bbox, confidence}. The default language is eng.
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

bash

bun install
bun test
bun run check
bun run docs:build
cargo test

License

MIT

Read the full README →View source on GitHub →

Related MCP Servers

View all in Developer Tools View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

npm downloads

Package downloads in the last 30 days.

Last commit

2d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

2 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Image Reader MCP

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "image-reader-mcp": { "command": "npx", "args": ["-y","@sylphx/iris"] } }

AllMCPs Directory Badge

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Badge Style:

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Markdown (GitHub README)

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<a href="https://allmcps.com/mcp/image-reader-mcp"><img src="https://allmcps.com/api/badge/image-reader-mcp?style=directory" alt="Image Reader MCP on AllMCPs" /></a>

Technical Specs & Signals

CategoryDeveloper Tools

11/15 checks healthy over the last 45d

55Quality signal: Good · 55/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools24/30

Adoption & activity7/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 4d ago via OSV.dev · @sylphx/iris (npm)

★ Featured

AllMCPs Server

Explore Server →

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

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