mcpbeat

OCR MCP Server

com.auto-reader/ocr
answering

OCR is answering right now. Last checked 12 min ago. It exposes 6 tools. Last commit 1 Aug 2026.

Arabic-first OCR, translation and document extraction. First call mints a free trial key.

Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
6
Tools
read from the server
86 ms
Response time
average over 24h
0
Stars
last commit 1 Aug 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

run in your terminal
claude mcp add ocr --transport http https://api.auto-reader.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "ocr": {
      "url": "https://api.auto-reader.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.ocr]
url = "https://api.auto-reader.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "ocr": {
      "url": "https://api.auto-reader.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "ocr": {
      "url": "https://api.auto-reader.com/mcp"
    }
  }
}

Available tools 6

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

ocr
ocr_and_translate
One call: OCR an image, then translate every line into target_lang. Arabic-first OCR and manga-aware Japanese with right-to-left-aware layout, followed by LLM translation. Automatic source-language detection. Provide the image as base64. Ideal for reading foreign documents, signs, manga, or receipts end-to-end in a single step.
ocr_image
Extract text from an image with GPU OCR. Best-in-class Arabic (plus Persian/Urdu) accuracy, manga-aware vertical Japanese, and strong English, French, Spanish, German, Chinese, Korean, Russian, Italian and Portuguese — 13+ languages. Automatic language and script detection with lang="auto". Returns reading-order layout text (right-to-left aware, paragraph-gapped) that is ready to feed an LLM or show a human, plus the detected language, the engine used, and the number of text blocks found. Provide the image as base64. Use the mode hint (document | receipt | manga | scene) to tune detection.
api
create_api_key
Provision a new Auto-Reader OCR API key instantly, with no human steps. Pass an optional email to unlock the larger free tier (about 250 credits/day, vs about 25/day for an email-less trial key). Store the returned key and pass it as api_key on future calls.
extract
extract_document
Extract STRUCTURED FIELDS from a document image: invoices, receipts, ID cards — or any custom JSON schema you supply. Every field returns {value, confidence, box} where the confidence and box come from the OCR geometry (never model guesswork); absent fields are null. preset="zatca" additionally decodes the Saudi ZATCA e-invoice QR (TLV) and cross-validates it against the printed fields — use it for Saudi tax invoices. Arabic-first accuracy. 5 credits/page (zatca 7).
translate
translate_text
Translate text between 13+ languages with an LLM. Arabic-first quality, with formality control (formal/informal) and optional context to disambiguate meaning. Handles both short dictionary-style word lookups and full documents. Returns the translation and, when available, alternative phrasings.
usage
get_usage
Check your Auto-Reader OCR key: tier, remaining daily free credits, prepaid credit balance, subscription allowance, and per-minute rate limit. Use it to throttle yourself before hitting a limit.

Endpoints

URLTransportStateLatencyChecked
https://api.auto-reader.com/mcp streamable-http answering 90 ms 12 min ago

OCR — questions

Answers built from our own checks of this server.

What can OCR do?
It exposes 6 tools, read directly from the server on our last check. Among them: create_api_key, extract_document, get_usage, ocr_and_translate, ocr_image, translate_text. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is OCR working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 86 ms. The bar chart above shows every period we have measured.
How do I connect OCR?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does OCR need an API key?
No. OCR completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 6 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is OCR?
It answers our handshake in 86 ms on average, which is faster than 88% of all working MCP servers we measure. That puts it in the quick quarter of the ecosystem. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is OCR open source?
Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.