Auto-Reader OCR MCP
An official MCP server for the Auto-Reader OCR API that enables AI agents to perform multilingual OCR, document extraction, and translation. It supports Arabic-first and manga-aware Japanese processing, automatic language detection, and structured data extraction from invoices and receipts. The server handles API key provisioning, usage tracking, and offers features like semantic chunking and word-level bounding boxes.
Endpoint and access
No sign-in to connect and list tools. Individual tools may still need a vendor account, credentials, or permissions; check the documented prerequisites.
https://api.auto-reader.com/mcpWhat its tools do
7 tools, grouped by the hints the server advertises. Hints are self-declared, not verified behavior.
Checks and signals
Each line is separate evidence, not a trust score.
- Passed Endpoint answered the live check ·
- Passed Official MCP Registry namespace is tied to auto-reader.com ·
- Passed Endpoint is on the registry namespace domain ·
- Availability 1 of 1 checks passed in 30 days
What you can do with it
- Perform multilingual OCR on images and documents
- Extract structured data from invoices and receipts
- Translate text between supported languages
- Detect language and script of input documents
Source and maintenance
- Maintenance checked
Protocol and capabilities
- Server
- auto-reader-ocr 1.0.0
- MCP protocol negotiated in check
- 2025-06-18
- Tools
- 7 advertised
- Resources
- Not advertised
- Resource templates
- Not advertised
- Prompts
- Not advertised
{
"tools": {}
}Server-provided instructions
Untrusted server output shown for inspection. It is not Koskamo guidance and is excluded from knowledge search.
Tools
7 advertised
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).
{
"type": "object",
"required": [
"image_base64"
],
"properties": {
"lang": {
"type": "string",
"default": "auto",
"description": "Language hint; default auto."
},
"preset": {
"enum": [
"invoice",
"receipt",
"id",
"zatca"
],
"type": "string",
"description": "Built-in schema. Use zatca for Saudi e-invoices (adds QR validation)."
},
"schema": {
"type": "object",
"description": "Custom extraction schema instead of a preset: an object whose keys are the fields you want, values describing them, e.g. {\"policy_number\": \"string|null\"}."
},
"api_key": {
"type": "string",
"description": "Optional Auto-Reader OCR key (nsk_live_...). If omitted, a free trial key is auto-provisioned and returned to you in the result."
},
"image_base64": {
"type": "string",
"description": "The document image as base64 (data: URI prefix accepted)."
}
}
}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.
{
"type": "object",
"required": [
"image_base64"
],
"properties": {
"lang": {
"type": "string",
"default": "auto",
"description": "Language/script hint. Default \"auto\" detects it. Codes: ar, fa, ur, en, fr, es, de, ja, zh, ko, ru, it, pt."
},
"mode": {
"enum": [
"document",
"receipt",
"manga",
"scene"
],
"type": "string",
"default": "document",
"description": "Content hint that tunes detection and prompts. Default \"document\"."
},
"api_key": {
"type": "string",
"description": "Optional Auto-Reader OCR key (nsk_live_...). If omitted, a free trial key is auto-provisioned and returned to you in the result."
},
"quality": {
"enum": [
"standard",
"high"
],
"type": "string",
"default": "standard",
"description": "\"standard\" (default) lets a confidence gate decide whether the vision model re-reads the page. \"high\" always re-reads it — use when accuracy matters more than cost or latency (costs 2 extra credits and adds a few seconds). You are charged the extra ONLY when it actually applies: check quality_applied in the result, and notice tells you why if it is false (receipt mode, a manga-engine page, an out-of-scope language, or the vision read failing its quality guards)."
},
"image_base64": {
"type": "string",
"description": "The image encoded as base64 (a data: URI prefix is accepted and stripped)."
}
}
}read_manga
OCR a comic/manga page, routed by LANGUAGE (not the blanket "manga = Japanese" assumption). Japanese goes to the manga specialist reader that reads vertical, hand-lettered speech bubbles in right-to-left order; Korean manhwa, Chinese manhua and other scripts use their own OCR pack; low-confidence pages escalate to the vision model. Returns text blocks in reading order plus the detected language, the engine used, and whether the page is vertical. Provide the image as base64. Pass lang explicitly (ko/zh/...) for the best non-Japanese result; default "auto" detects it.
{
"type": "object",
"required": [
"image_base64"
],
"properties": {
"lang": {
"type": "string",
"default": "auto",
"description": "Language hint. Default \"auto\". Codes: ja (manga specialist), ko, zh, ar, en, fr, es, de, ru, it, pt."
},
"api_key": {
"type": "string",
"description": "Optional Auto-Reader OCR key (nsk_live_...). If omitted, a free trial key is auto-provisioned and returned to you in the result."
},
"image_base64": {
"type": "string",
"description": "The manga/comic page as base64 (a data: URI prefix is accepted and stripped)."
}
}
}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.
{
"type": "object",
"required": [
"text",
"target_lang"
],
"properties": {
"text": {
"type": "string",
"description": "The text to translate."
},
"api_key": {
"type": "string",
"description": "Optional key (nsk_live_...). Auto-provisioned if omitted."
},
"context": {
"type": "string",
"description": "Optional background text that improves accuracy (it is not translated)."
},
"formality": {
"enum": [
"formal",
"informal"
],
"type": "string",
"description": "Optional register for the output."
},
"target_lang": {
"type": "string",
"description": "Target language, as a name or code (e.g. English, Arabic, ar, ja, fr)."
}
}
}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.
{
"type": "object",
"required": [
"image_base64",
"target_lang"
],
"properties": {
"api_key": {
"type": "string",
"description": "Optional key (nsk_live_...). Auto-provisioned if omitted."
},
"target_lang": {
"type": "string",
"description": "Language to translate into, as a name or code (e.g. English, ar, ja)."
},
"image_base64": {
"type": "string",
"description": "The image encoded as base64 (a data: URI prefix is accepted and stripped)."
}
}
}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.
{
"type": "object",
"required": [],
"properties": {
"api_key": {
"type": "string",
"description": "Optional key (nsk_live_...). Auto-provisioned if omitted."
}
}
}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 100 credits/day, vs about 50/day for an email-less trial key). Store the returned key and pass it as api_key on future calls.
{
"type": "object",
"required": [],
"properties": {
"email": {
"type": "string",
"description": "Optional email to attach for the larger free tier and a verification link."
}
}
}Prompts
Not advertised
Resources
Not advertised
90-day uptime
A lightweight connection check about every six hours, sampled on hosts with many listings. It shows the server answered, not that its tools work.
- 2026-11-06: 1 of 1 checks answered
- 2026-11-07: 1 of 1 checks answered
30-day availability
Aggregated from read-only remote checks; this is not a tool-execution or security guarantee.
- Successful checks
- 1 of 1 (100%)
- Average latency
- 177 ms
- 95th percentile latency
- 177 ms
Maintenance history
Public check and source-refresh events. Editorial and ownership records remain private.
- · probe · passed · 177 ms · metadata changed · 7 tool(s)
Connect from your client
Each snippet registers the same endpoint; pick the client you use.
Claude Code
claude mcp add --transport http auto-reader-ocr-mcp https://api.auto-reader.com/mcpCodex
codex mcp add auto-reader-ocr-mcp --url https://api.auto-reader.com/mcpCursor
{
"mcpServers": {
"auto-reader-ocr-mcp": {
"url": "https://api.auto-reader.com/mcp"
}
}
}Cline
{
"mcpServers": {
"auto-reader-ocr-mcp": {
"type": "streamableHttp",
"url": "https://api.auto-reader.com/mcp",
"disabled": false
}
}
}VS Code
{
"servers": {
"auto-reader-ocr-mcp": {
"type": "http",
"url": "https://api.auto-reader.com/mcp"
}
}
}Gemini CLI
gemini mcp add --transport http auto-reader-ocr-mcp https://api.auto-reader.com/mcpClaude Desktop
https://api.auto-reader.com/mcpWindsurf
{
"mcpServers": {
"auto-reader-ocr-mcp": {
"serverUrl": "https://api.auto-reader.com/mcp"
}
}
}Let your agent find its tools
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