Arabic Pipeline API
REMOTE · ARABIC-PIPELINE-MCP.ARABIC-PIPELINE.WORKERS.DEV
Pay-per-call Arabic text, audio and document utilities over x402. USDC on Base, no API key.
Available components
Last scanned (3 hours ago)
Scores higher than 58% of remote servers
Reachable. Last reached 5 Nov 2026.
Category Documents and Files
How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. How we score → Why this is hard to score →
Endpoint Security63
- The endpoint's TLS certificate is valid, in date, and uses a strong key. View diagnostics → Pass
- No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one. See how to fix → View diagnostics → Partial
- HTTPS enforcement could not be verified: the plaintext port answered with HTTP 406, which proves neither a plaintext path nor enforcement. View diagnostics → Unverified
- HSTS check failed: the Strict-Transport-Security header is absent. See how to fix → View diagnostics → Fail
- DNSSEC check failed: this domain isn't protected by DNSSEC. See how to fix → View diagnostics → Fail
Transport & Reachability100
- Verified streamable-http transport via a live MCP handshake. View diagnostics → Pass
Schema Quality & AI Usability70
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 1266 tokens (~140/item across 9 items; 9 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management47
- Stability observed for 14 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 9 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 4 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.
- 2 Nov 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.
- 31 Oct 26 +8
- Authorization: unverified → partial ▲ security
- The server rewrote its instructions, which are the text every model session reads security
- Tool “audio_transcribe” rewrote its description, which is the text the model reads security
- Tool “doc_extract” rewrote its description, which is the text the model reads security
- Tool “text_metrics” rewrote its description, which is the text the model reads security
- Tool “text_normalize” rewrote its description, which is the text the model reads security
- Schema quality: pass → fail ▼ functional
- Server version: 0.1.0 → 0.2.0 functional
- New tool “doc_extract_batch” functional
- New tool “text_chunk” functional
- New tool “text_detect_language” functional
- New tool “text_diff” functional
- New tool “text_search” functional
- Tool “audio_transcribe” changed its title: Transcribe audio cosmetic
- Tool “doc_extract” changed its title: Extract document fields cosmetic
- Tool “text_metrics” changed its title: Text metrics cosmetic
- Tool “text_normalize” changed its title: Normalize Arabic text cosmetic
- 29 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.
- 27 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 13 to 17. That category is still filling its 30-day observation window: 4 days of observed history at the previous scan, 5 at this one. The score rises as the window fills, whether or not the server changes.
- 25 Oct 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 7 to 10. That category is still filling its 30-day observation window: 2 days of observed history at the previous scan, 3 at this one. The score rises as the window fills, whether or not the server changes.
- 23 Oct 26 +1
- Stability: unverified → 0.03 ▲ functional
- 22 Oct 26 58
First indexed and scored.
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 5 Nov 2026 · Probed https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/
TLS valid
Negotiated TLS 1.3 with TLS_AES_128_GCM_SHA256 .
| Subject | Issuer | Valid from | Valid until | Key | Signature | Serial |
|---|---|---|---|---|---|---|
| CN=arabic-pipeline.workers.dev | CN=YE1,O=Let's Encrypt,C=US | 22 Oct 2026 | 20 Jan 2027 | ECDSA 256 | ECDSA-SHA384 | 6b575348e8263b9b7ba01a21658dd0c4f54 |
| SANs: *.arabic-pipeline.workers.dev, arabic-pipeline.workers.dev | ||||||
| CN=YE1,O=Let's Encrypt,C=US (CA) | CN=Root YE,O=ISRG,C=US | 3 Sept 2025 | 2 Sept 2028 | ECDSA 384 | ECDSA-SHA384 | 5ddd70dd31f801c85c186a7a04b80afe |
| CN=Root YE,O=ISRG,C=US (CA) | CN=ISRG Root X2,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | ECDSA-SHA384 | 872165fc34b6e5fba8add5b3705fb53a |
| CN=ISRG Root X2,O=Internet Security Research Group,C=US (CA) | CN=ISRG Root X1,O=Internet Security Research Group,C=US | 13 May 2026 | 2 Sept 2032 | ECDSA 384 | SHA256-RSA | 6c8f1dc727c7117f7baf853ac980f9cd |
Background: What to check on a remote MCP endpoint →
DNSSEC insecure
Validation of arabic-pipeline-mcp.arabic-pipeline.workers.dev. — Not signed
| Zone | DS | Keys | Algorithms | Outcome |
|---|---|---|---|---|
| . | trust_anchor | 20326, 38696 | 8, 8 | Verified |
| dev. | present | 60074 | 8 | Verified |
| workers.dev. | absent | Unsigned (proven) parent-signed NSEC/NSEC3 proves an unsigned delegation |
Authentication No authorisation required
The endpoint answered without asking for a token. Anyone who knows the URL can reach it.
| Result | No authorisation required |
|---|---|
| HTTP status | 200 |
Background: How OAuth 2.1 works in the 2026 MCP spec →
Transports 2 probes
| Transport | URL | Outcome | Status | Location |
|---|---|---|---|---|
| streamable-http | https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/ | Verified | 200 | |
| http (plaintext) | http://arabic-pipeline-mcp.arabic-pipeline.workers.dev/ | Inconclusive | 406 |
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
audio_transcribe Transcribe audio ~91
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.
| Name | Type | Req | Description |
|---|---|---|---|
| audio_base64 | string | yes | Base64-encoded audio file. |
| mime_type | string | – | Audio MIME type, e.g. audio/webm. |
No output schema declared.
No examples provided.
doc_extract Extract document fields ~114
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.
| Name | Type | Req | Description |
|---|---|---|---|
| document_base64 | string | yes | Base64-encoded document image or PDF. |
| mime_type | string | – | Document MIME type, e.g. image/jpeg. |
No output schema declared.
No examples provided.
doc_extract_batch Extract document fields (batch) ~137
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.
| Name | Type | Req | Description |
|---|---|---|---|
| documents | array | yes | 1 to 5 documents, extracted independently and in parallel. |
| mime_type | string | – | Default MIME type for documents that omit their own. |
No output schema declared.
No examples provided.
text_chunk Chunk text ~122
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.
| Name | Type | Req | Description |
|---|---|---|---|
| max_chars | integer | – | Target maximum characters per chunk (default 1000). |
| overlap | integer | – | Characters of the previous chunk to repeat, snapped to a word start. At most half of max_chars. |
| text | string | yes | The text to split. |
No output schema declared.
No examples provided.
text_detect_language Detect language ~74
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.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The text to identify. |
No output schema declared.
No examples provided.
text_diff Diff two texts ~103
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.
| Name | Type | Req | Description |
|---|---|---|---|
| a | string | yes | The first text. |
| b | string | yes | The second text. |
No output schema declared.
No examples provided.
text_metrics Text metrics ~66
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.
| Name | Type | Req | Description |
|---|---|---|---|
| text | string | yes | The text to measure. |
No output schema declared.
No examples provided.
text_normalize Normalize Arabic text ~127
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.
| Name | Type | Req | Description |
|---|---|---|---|
| mode | string | – | light = whitespace/digits/bidi cleanup; search = + tashkeel removal and letter folding; index = + punctuation stripped. |
| text | string | yes | The Arabic text to normalize. |
No output schema declared.
No examples provided.
text_search Search text ~211
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.
| Name | Type | Req | Description |
|---|---|---|---|
| context_chars | integer | – | Characters of context on each side of a match. |
| max_distance | integer | – | Edits allowed per word in fuzzy mode (default 1). |
| max_results | integer | – | Maximum matches to return. |
| mode | string | – | words = whole-word phrase (default); phrase = any substring; fuzzy = edit-distance per word. |
| query | string | yes | What to look for; normalised like the corpus. |
| text | string | yes | The text to search (the corpus). |
No output schema declared.
No examples provided.
How do I install the Arabic Pipeline API MCP server?
Arabic Pipeline API is a hosted endpoint at https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
remote · arabic-pipeline-mcp.arabic-pipeline.workers.dev
claude mcp add --transport http skypantherr-arabic-pipeline 'https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/'
What is the Arabic Pipeline API MCP server?
Arabic Pipeline API is an MCP server listed in the public MCP registry as io.github.skypantherr/arabic-pipeline. Pay-per-call Arabic text, audio and document utilities over x402. USDC on Base, no API key. This page covers its hosted endpoint (https://arabic-pipeline-mcp.arabic-pipeline.workers.dev/).
Is the Arabic Pipeline API MCP server safe to use?
Arabic Pipeline API scores 72 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the Arabic Pipeline API MCP server expose?
Arabic Pipeline API exposes 9 tools: text_metrics, text_normalize, text_detect_language, text_chunk, text_diff, and 4 more. Their descriptions and schemas cost roughly 1,045 tokens of context every time the server is loaded.
Does the Arabic Pipeline API MCP server require authentication?
No. We connected to Arabic Pipeline API without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.
Is the Arabic Pipeline API MCP server still maintained?
Arabic Pipeline API is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.