Arabic Pipeline API

Connect it to your AI

Claude Code

claude mcp add --transport http arabic-pipeline https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/

Claude, ChatGPT, Cursor and other apps

Add it as a custom connector with this URL (Streamable HTTP):

https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/

Cursor, VS Code and other apps (mcp.json)

{
  "mcpServers": {
    "arabic-pipeline": {
      "url": "https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/"
    }
  }
}

Tools it offers

9 tools, as the server itself reported during our check on Oct 31, 2026.

• text_metricsMeasure text deterministically: characters, words, unique words, sentences, lines, paragraphs, digits, punctuation, average word and sentence length, reading time and an Arabic/Latin language mix. Works on any language,
• text_normalizeCanonicalise Arabic text for search, matching or indexing: remove tashkeel and tatweel, fold alef/ya/ta-marbuta, unify Arabic-Indic digits, strip bidi control characters and collapse whitespace. mode=light is lossless; s
• text_detect_languageIdentify whether text is Arabic, English, mixed or unknown from its script mix, with a confidence score and the count of Arabic, Latin and other letters. Deterministic and model-free, so it is cheap enough to run on ever
• text_chunkSplit long text into chunks for a model context window. Cuts at sentence boundaries when possible, then at word boundaries, and never mid-word unless a single word is longer than max_chars. Returns each chunk with exact
• text_diffCompare two texts word by word after Arabic normalisation (tashkeel, alef/ya/ta-marbuta and digit variants are treated as equal). Returns an equal flag, a similarity score and the added and removed words. Use it for dedu
• text_searchSearch Arabic (or any) text with normalisation: tashkeel, alef/ya/ta-marbuta, hamza and Arabic-Indic digit variants are ignored, so فَاطِمَة matches فاطمة and ١٢٣ matches 123. mode=words (default) matches whole words, ph
• audio_transcribeTranscribe Arabic or English speech to plain text. Send the audio as base64 (webm, mp3, wav or mp4); the payload limit is 12 MB of base64. Returns the transcript plus the model that produced it.
• doc_extractExtract structured fields from an Arabic document image or PDF (receipts, invoices, official letters, national IDs, bank slips) as JSON: amounts, dates, names, identifiers and tax numbers, with null for fields the docume
• doc_extract_batchExtract structured fields from 1 to 5 Arabic documents in one paid call: $0.10 for the batch, i.e. $0.02 per document instead of $0.03. Documents are processed independently and in parallel, results come back in request

Questions