io.github.skypantherr由 GitHub 帳號 skypantherr 發布v0.2.0更新於 Oct 31, 2026
Pay-per-call Arabic text, audio and document utilities over x402. USDC on Base, no API key.
遠端 MCP 伺服器，提供按次付費的阿拉伯語文字、音訊轉錄與文件欄位擷取工具，以 Base 上的 USDC 結算，無需 API 金鑰。
Web executable，透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式，或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南，先向你展示發布者、端點和登入方式，經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/io.github.skypantherr%2Farabic-pipeline/install.md，並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前，先告訴我它的發布者、端點和登入方式，等我確認。不要把 API 金鑰寫進命令或我會提交的檔案；問我金鑰應從哪裡取得。把它新增到你客戶端的 mcpServers 設定中。
{
"mcpServers": {
"arabic-pipeline-api": {
"type": "http",
"url": "https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/"
}
}
}[Arabic Pipeline API MCP server]
Pay-per-call utilities for Arabic text, audio and documents, sold over x402 in USDC on Base.
No API key. No account. No subscription. The first request returns
402 Payment Required; the client signs a payment and retries; the money lands
in the provider's wallet. That is the whole protocol — and it is why this
service can pay a provider directly, with no payment processor in between.
No install, no key: the tools are already on the other end. A tool call without payment answers with the x402 challenge, and your client pays it on Base.
The MCP server exposes the same nine capabilities as tools, each behind its
own x402 payment (text_metrics, text_normalize, text_detect_language,
text_chunk, text_diff, text_search, audio_transcribe, doc_extract,
doc_extract_batch).
Arabic breaks naive string handling in ways that are invisible until they cost you a failed match:
فَاطِمَة and فاطمة are the same name, but not the same bytes.أ إ آ → ا, ى → ي, ة → ه are folded on purpose, not by accident.١٢٣ must match 123, and the tashkeel range overlaps
the digit range, so order of operations matters.start/end into the original string, so
a result can be applied to the caller's own text rather than a rewritten copy.The paid routes declare this in the 402 itself: each challenge carries a Bazaar
input schema and an output example, so a client can see exactly what it is
buying before it signs anything.
POST /text/normalize accepts a mode:
light — lossless: whitespace, digit unification, bidi cleanup only.search — light + tashkeel removal + letter folding (أإآ→ا, ى→ي, ة→ه).index — search + punctuation stripped (use as a dedup / index key).402 Payment Required.PAYMENT-REQUIRED header and, in the body,
accepts[] entries describing how to pay (network, asset, price, payTo).PAYMENT-SIGNATURE header (base64 payment payload).PAYMENT-RESPONSE header with the receipt.The full machine-readable contract — including per-operation x-payment-info —
is at GET /openapi.json.
eip155:8453), asset USDC
(0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913).https://x402.dexter.cash — no account, no fees). The facilitator only
executes the buyer's signed payment; it never holds funds.0x05523af5bd166816D1418Ebf7D6371e1fFB1D2e6.PayAPI Market independently verified this deployment by buying a call and
publishing the receipt: POST /text/normalize for $0.005 USDC, settled in
transaction
0xfc3e42f9…73ce9c
at block 53,330,178 on Base. The listing is
payapi.market/api/arabic-pipeline-api.
/audio/transcribe uses gemini-3.5-transcribe; /doc/extract and
/doc/extract/batch use gemini-3.6-flash with a JSON response schema. Both
model names are configurable (GEMINI_TRANSCRIBE_MODEL, GEMINI_VISION_MODEL).
The six text endpoints are pure computation and cost nothing to serve.
A batch runs one model call per document, concurrently. At $0.10 for five
documents that is $0.02 each, a third below the $0.03 single-document price;
for one or two documents the single route is cheaper, and the batch route says
so. A failed document is reported in place (ok: false plus error) instead of
failing the whole call, so a bad scan costs one slot rather than the payment.
See DEPLOY.md. The short version: npm run login → npm run secret →
npm run deploy → register the listing.
Two Workers are deployed from this repo:
Proprietary — all rights reserved. The source is public so the service can be audited; it is not licensed for reuse or redistribution. The API itself is sold per call, not licensed.
來源：README.md，提交 e45562a
Text metrics
Measure 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, not only Arabic.
text必填Normalize Arabic text
Canonicalise 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; search adds letter folding; index also strips punctuation so the result can be used as a dedup key.
modetext必填Detect language
Identify 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 every incoming message to route Arabic work.
text必填Chunk text
Split 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 start/end offsets into the original string plus an optional overlap for context carry-over.
text必填overlapmax_charsDiff two texts
Compare 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 deduplication, re-import checks and QA of edited Arabic copy. Each side is limited to 1500 words.
a必填b必填Search text
Search 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, phrase matches any substring, fuzzy tolerates up to max_distance edits per word. Returns exact start/end offsets into the original text plus a context snippet.
modetext必填query必填max_resultsmax_distancecontext_charsTranscribe audio
Transcribe 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.
mime_typeaudio_base64必填Extract document fields
Extract 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 document does not contain. Send the file as base64 (jpeg, png or pdf); the limit is 12 MB of base64.
mime_typedocument_base64必填Extract document fields (batch)
Extract 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 order with an echoed id, and one unreadable image does not fail the rest (it appears with ok=false and an error). Use this for a stack of receipts, invoices or bank slips.
documents必填mime_type已滿足適用檢查項的 90%
該評分衡量此收錄條目的完整程度，依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價，也不表示伺服器安全或目前可用：可連通性是帶日期的檢查結果，評分也不包含安裝量或使用者評價。
請在儲存庫或註冊中心條目中宣告授權條款。
# Claude Code (any Streamable HTTP MCP client works the same way)claude mcp add --scope user --transport http arabic-pipeline-mcp \ https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/# 1. Any paid route answers 402 with a payment challengecurl -i https://arabic-pipeline.arabic-pipeline.workers.dev/text/normalize \ -H 'content-type: application/json' \ -d '{"text":"مُحَمَّدٌ عَلِيّ","mode":"search"}'
# 2. Free routes (no payment needed)curl https://arabic-pipeline.arabic-pipeline.workers.dev/openapi.jsoncurl https://arabic-pipeline.arabic-pipeline.workers.dev/npm installcp .dev.vars.example .dev.vars # then add GEMINI_API_KEYnpm run dev # wrangler devnpm test # vitestnpm run typechecknpm run deploy # REST API -> arabic-pipeline.arabic-pipeline.workers.devnpx wrangler deploy -c wrangler.mcp.toml # MCP server -> arabic-pipeline-mcp.arabic-pipeline.workers.dev