Is io.github.woladi/macos-vision-mcp safe to use?

io.github.woladi/macos-vision-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.

How do I install io.github.woladi/macos-vision-mcp?

io.github.woladi/macos-vision-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.woladi/macos-vision-mcp do?

io.github.woladi/macos-vision-mcp provides 5 tools: ocr_image, detect_faces, detect_barcodes, classify_image, analyze_document. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.woladi/macos-vision-mcp?

io.github.woladi/macos-vision-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.

Is io.github.woladi/macos-vision-mcp actively maintained?

io.github.woladi/macos-vision-mcp is actively maintained — last commit was 11 days ago. It has 5 GitHub stars.

io.github.woladi/macos-vision-mcp

macos-vision-mcp

Local OCR & image analysis via Apple Vision — no cloud, no API keys, ~97% fewer tokens on PDFs.

5 71/wk 5 tools GitHub npm

No known CVEs

No license

Actively maintained

Last commit 11d ago

Works with most clients

Transport: stdio, http

5 tools · ~451 tok

Grade A · 0.2% of 200K ctx

Edit this pageView history

AI / ML Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "macos-vision-mcp": {
      "command": "macos-vision-mcp"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-woladi-macos-vision-mcp)](https://mcppedia.org/s/io-github-woladi-macos-vision-mcp)

Read me

What io.github.woladi/macos-vision-mcp does

Local OCR & image analysis for any MCP client — private, offline, no API keys.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'macos-vision-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

85/100across 5 weighted dimensions

How we score →

0255075100

−15

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked macos-vision-mcp against OSV.dev.

Inventory

Tools (5)

Click any tool to inspect its schema.

~451 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.woladi/macos-vision-mcp safe to use?: io.github.woladi/macos-vision-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.woladi/macos-vision-mcp?: io.github.woladi/macos-vision-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.woladi/macos-vision-mcp do?: io.github.woladi/macos-vision-mcp provides 5 tools: ocr_image, detect_faces, detect_barcodes, classify_image, analyze_document. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.woladi/macos-vision-mcp?: io.github.woladi/macos-vision-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is io.github.woladi/macos-vision-mcp actively maintained?: io.github.woladi/macos-vision-mcp is actively maintained — last commit was 11 days ago. It has 5 GitHub stars.

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Community

Discussion

Start a conversation

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Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Edit this pageView history

AI / ML Developer Tools

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "macos-vision-mcp": {
      "command": "macos-vision-mcp"
    }
  }
}

Are you the author?

Add this badge to your README to show your security score and help users find safe servers.

Embed in your READMEAbout badges →

[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-woladi-macos-vision-mcp)](https://mcppedia.org/s/io-github-woladi-macos-vision-mcp)

Read me

What io.github.woladi/macos-vision-mcp does

Local OCR & image analysis for any MCP client — private, offline, no API keys.

Test This Server

Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.

npx -y 'macos-vision-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"

After testing, let us know if it worked:

README

macos-vision-mcp

Cut document token costs by ~97% with local, private, offline OCR for any MCP client — no API keys, no uploads.

Pre-extracts text and image data locally before your AI ever sees it — cutting token usage by ~97% on real documents and returning structured paragraphs, lines, and bounding boxes so the model can reconstruct the document into Markdown, HTML, DOCX, or any other format. Files never leave your Mac: no cloud API, no API keys, no network requests.

_{How the ~97% is measured: a 44-page scanned PDF sent as page images costs ~73,500 tokens; the same file run through analyze_document returns ~2,400 tokens of extracted text and structure (raw page-image tokens vs. extracted-text tokens). Your numbers vary with page density and tokenizer — treat 97% as the order of magnitude, not a guarantee.}

Contents: Quick Start · What you get · Why it's different · Available Tools · Usage · Example workflows · Configuration · Privacy layer

What you get

OCR for images and PDFs (JPG, PNG, HEIC, TIFF, multi-page PDF) via Apple Vision Framework.
~97% token reduction: a 44-page PDF costs ~2,400 tokens instead of ~73,500.
Reading-order paragraphs + raw text blocks with bounding boxes — rich structure for the model to reconstruct the document into any output format (Markdown, HTML, DOCX, JSON), not a lossy plain-text dump.
Face detection, barcode/QR reading, and image classification — all on-device.
Full document pipeline: OCR + faces + barcodes + rectangles in a single tool call.
Works with Claude Code, Claude Desktop, and Cursor — any MCP-compatible client.
No files uploaded to any server — processing stays entirely on your Mac.
100% offline after npm install — powered by Apple Vision Framework, same engine as Live Text in Photos.app.

❌ Without / ✅ With

❌ Without macos-vision-mcp:

Sending a 44-page PDF costs ~73,500 tokens
Every image, invoice, or contract goes through a cloud API
Sensitive documents leave your machine on every request

✅ With macos-vision-mcp:

Local Apple Vision pre-extracts text before Claude ever sees it
~2,400 tokens for the same 44-page PDF — 97% fewer
Files never leave your Mac

Why it's different

Most OCR options for LLMs either ship your documents to a cloud vision API or make you stand up and tune your own engine. This runs on Apple's on-device Vision framework — the same engine behind Live Text in Photos.app — so extraction is free, private, and instant.

| | macos-vision-mcp | Cloud vision OCR (GPT-4o, Google Vision, M

... View full README on GitHub

Loading README…

Scored, not listed

Why this score

Five weighted categories — click any category to see the underlying evidence.

Score breakdown

85/100across 5 weighted dimensions

How we score →

0255075100

−15

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked macos-vision-mcp against OSV.dev.

Inventory

Tools (5)

Click any tool to inspect its schema.

~451 tokens total

Community

Reviews

Be the first to review

Have you used this server?

Share your experience — it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.woladi/macos-vision-mcp safe to use?: io.github.woladi/macos-vision-mcp has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments.
How do I install io.github.woladi/macos-vision-mcp?: io.github.woladi/macos-vision-mcp supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.woladi/macos-vision-mcp do?: io.github.woladi/macos-vision-mcp provides 5 tools: ocr_image, detect_faces, detect_barcodes, classify_image, analyze_document. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.woladi/macos-vision-mcp?: io.github.woladi/macos-vision-mcp is compatible with claude-desktop, cursor, claude-code. It uses stdio and http transport.
Is io.github.woladi/macos-vision-mcp actively maintained?: io.github.woladi/macos-vision-mcp is actively maintained — last commit was 11 days ago. It has 5 GitHub stars.