eKYC Suite
NPM · @WEFI-AI/EKYC-SUITE-MCP · SCANNED AUG 3
KYC / eKYC MCP server for face compare, liveness, OCR, and image labeling.
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score →
Supply Chain Security86
- No malware found by supply-chain analysis.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.Partial
- No install/post-install scripts declared.Pass
- Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 10 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability73
- AI-judged instruction clarity (good).Pass
- Context-footprint check failed: tool/resource definitions use about 907 tokens (~113/item across 8 items; 8 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 Management23
- Stability observed for 7 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
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Add this component to your MCP client. Where a client-specific snippet is available, pick your client below and copy it straight into your config; otherwise use the connection detail shown.
npm · @wefi-ai/ekyc-suite-mcp
claude mcp add wefi-ai-ekyc-suite -- npx -y @wefi-ai/ekyc-suite-mcp
codex mcp add wefi-ai-ekyc-suite -- npx -y @wefi-ai/ekyc-suite-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"wefi-ai-ekyc-suite": {
"type": "local",
"command": [
"npx",
"-y",
"@wefi-ai/ekyc-suite-mcp"
],
"enabled": true
}
}
} openclaw mcp add wefi-ai-ekyc-suite --command npx --arg -y --arg @wefi-ai/ekyc-suite-mcp
mcp_servers:
wefi-ai-ekyc-suite:
command: "npx"
args: ["-y", "@wefi-ai/ekyc-suite-mcp"] {
"mcpServers": {
"wefi-ai-ekyc-suite": {
"command": "npx",
"args": [
"-y",
"@wefi-ai/ekyc-suite-mcp"
]
}
}
} 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.
- 3 Aug 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.
- 2 Aug 26 +46
- Provenance: unverified → fail ▼ security
- Install scripts: unverified → pass ▲ security
- Known CVEs: unverified → partial ▲ security
- Malware scan: unverified → pass ▲ security
- Security disclosure: fail → unverified ▼ functional
- Tool coverage: 100 → unverified ▼ functional
- License: unverified → pass ▲ functional
- Dependency health: unverified → partial ▲ functional
- Stability: unverified → 0.20 ▲ functional
- Maintenance: unverified → pass ▲ functional
- MCP protocol: unverified → pass ▲ functional
- Schema quality: unverified → good ▲ functional
- First check of Schema quality: unverified functional
- Licence: MIT functional
- 31 Jul 26 −7
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 30 Jul 26 −18
- Malware scan: pass → unverified ▼ security
- 27 Jul 26 46
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 3 Aug 2026 · Analysed npm/@wefi-ai/[email protected]
Provenance none
Ecosystem: npm · Outcome: none
Dependencies 94 packages
94 packages in the resolved dependency tree · 94 deprecated · 29 stale.
The dependency tree was only partially resolved, so these counts may be incomplete.
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.
bank_card_ocr ~53
Extract card number and expiry date from a bank card front photo. Use for: payment binding, account verification.
| Name | Type | Req | Description |
|---|---|---|---|
| image | string | yes | Bank card front photo (file path, public URL, or base64) |
No output schema declared.
No examples provided.
driver_license_ocr ~75
Extract structured information from a Chinese driver's license (main page only; supplementary page returns error -9005). Returns license number, name, vehicle class, validity dates, etc. Use for: auto insurance, fleet management.
| Name | Type | Req | Description |
|---|---|---|---|
| image | string | yes | Driver's license photo (file path, public URL, or base64) |
No output schema declared.
No examples provided.
face_compare ~127
Determine if two photos show the same person by comparing facial features. Returns a similarity score 0-100. Use for: identity verification, duplicate account detection, photo matching. Rate limit: 100 calls per appid (test quota).
| Name | Type | Req | Description |
|---|---|---|---|
| photo1 | string | yes | First face photo (file path, public URL, or base64) |
| photo2 | string | yes | Second face photo for comparison (file path, public URL, or base64) |
| sourcePhotoType | string | — | Photo type: 1=watermarked ID photo, 2=HD photo (default) |
No output schema declared.
No examples provided.
id_card_ocr ~102
Extract structured information from a Chinese national ID card photo. Returns name, sex, ethnicity, birth date, ID number, address (portrait side) or issuing authority and validity (emblem side). Use for: customer onboarding, document digitization.
| Name | Type | Req | Description |
|---|---|---|---|
| image | string | yes | ID card photo (file path, public URL, or base64) |
| side | string | — | 0=portrait side with photo (default), 1=national emblem side |
No output schema declared.
No examples provided.
media_labeling ~293
Analyze an image or video for specific attribute labels. Detects portrait attributes (mask, hat, sunglasses, coercion, unconscious, phone, headphones, tattoo, nudity, critical patient, facial mask) and environment attributes (multiple people, inside car, hotel room, car dealership). Async: auto-waits for result. Use for: risk screening, compliance checks, fraud prevention.
| Name | Type | Req | Description |
|---|---|---|---|
| doCompare | string | — | Enable face consistency check on video: '1'=yes (default), '0'=no |
| doLive | string | — | Enable liveness check on video: '1'=yes (default), '0'=no |
| file | string | yes | Image or video to analyze (file path, public URL, or base64) |
| labels | string | yes | Comma-separated label codes, max 5 per request. Portrait: A01(facial mask), A02(medical mask), A04(headphones), A05(nudity), A06(sunglasses), A09(coercion), A10(unconscious), A11(phone), A13(tattoo),… |
| type | string | — | 'image' (default) or 'video' |
No output schema declared.
No examples provided.
photo_liveness_detect ~81
Check whether a face photo is a genuine capture or has been forged (AI-generated, screen replay, printout, deepfake). Returns risk level 1-3 with attack type classification. Use for: anti-fraud screening, onboarding selfie verification.
| Name | Type | Req | Description |
|---|---|---|---|
| file | string | yes | Face photo to analyze (file path, public URL, or base64) |
No output schema declared.
No examples provided.
vehicle_license_ocr ~92
Extract structured information from a Chinese vehicle license. Supports both main page (plate, VIN, owner) and supplementary page (passenger capacity, inspection records). Use for: auto loans, fleet compliance.
| Name | Type | Req | Description |
|---|---|---|---|
| image | string | yes | Vehicle license photo (file path, public URL, or base64) |
| side | string | — | 1=main page (default), 2=supplementary page |
No output schema declared.
No examples provided.
video_liveness_detect ~84
Check whether a face video is genuine or a deepfake/replay. Auto-retries on network errors. Returns risk level 1-3 with attack type. Use for: video KYC verification, anti-deepfake screening.
| Name | Type | Req | Description |
|---|---|---|---|
| file | string | yes | Face video, max 20s and 20MB (file path, public URL, or base64) |
No output schema declared.
No examples provided.