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eKYC Suite

NPM · @WEFI-AI/EKYC-SUITE-MCP · SCANNED SEP 20

KYC / eKYC MCP server for face compare, liveness, OCR, and image labeling.

Available components

npm · @wefi-ai/ekyc-suite-mcp 84
0 this week 84 Trust /100
Trust breakdown (7 categories)

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 → Why this is hard to score →

Supply Chain Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 31 of 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability82
  • AI-judged instruction clarity (excellent).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 Management93
  • Stability observed for 28 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 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 8 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
Install

How do I install the eKYC Suite MCP server?

eKYC Suite runs locally as an npm package, launched with npx -y @wefi-ai/ekyc-suite-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · @wefi-ai/ekyc-suite-mcp

# add to Claude Code
claude mcp add wefi-ai-ekyc-suite -- npx -y @wefi-ai/ekyc-suite-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "wefi-ai-ekyc-suite": {
      "command": "npx",
      "args": [
        "-y",
        "@wefi-ai/ekyc-suite-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "wefi-ai-ekyc-suite": {
      "command": "npx",
      "args": [
        "-y",
        "@wefi-ai/ekyc-suite-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add wefi-ai-ekyc-suite -- npx -y @wefi-ai/ekyc-suite-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "wefi-ai-ekyc-suite": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@wefi-ai/ekyc-suite-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add wefi-ai-ekyc-suite --command npx --arg -y --arg @wefi-ai/ekyc-suite-mcp
# ~/.hermes/config.yaml
mcp_servers:
  wefi-ai-ekyc-suite:
    command: "npx"
    args: ["-y", "@wefi-ai/ekyc-suite-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "wefi-ai-ekyc-suite": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "@wefi-ai/ekyc-suite-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add wefi-ai-ekyc-suite -t stdio -c npx -a -y @wefi-ai/ekyc-suite-mcp
// mcp.json
{
  "mcpServers": {
    "wefi-ai-ekyc-suite": {
      "command": "npx",
      "args": [
        "-y",
        "@wefi-ai/ekyc-suite-mcp"
      ]
    }
  }
}
Changelog

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.

  • 19 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.

  • 17 Sept 26 −2
    • Stability: pass → 0.83 functional
  • 16 Sept 26 0
    • Stability: 0.97 → pass security
  • 15 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 13 Sept 26 +1
    • Security disclosure: unverified → fail ▼ functional
  • 12 Sept 26 0
    • Security disclosure: fail → unverified ▼ functional
  • 11 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.

  • 9 Sept 26 −3
    • Stability: pass → 0.77 functional
Diagnostics

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 20 Sept 2026 · Analysed npm/@wefi-ai/ekyc-suite-mcp@1.0.1

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Dependencies 95 packages
Packages resolved 95
Stale 31
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 8 exposed · ~907 tokens

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 →

Tool Tokens
bank_card_ocr ~53

Extract card number and expiry date from a bank card front photo. Use for: payment binding, account verification.

NameTypeReqDescription
imagestringyesBank 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.

NameTypeReqDescription
imagestringyesDriver'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).

NameTypeReqDescription
photo1stringyesFirst face photo (file path, public URL, or base64)
photo2stringyesSecond face photo for comparison (file path, public URL, or base64)
sourcePhotoTypestring–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.

NameTypeReqDescription
imagestringyesID card photo (file path, public URL, or base64)
sidestring–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.

NameTypeReqDescription
doComparestring–Enable face consistency check on video: '1'=yes (default), '0'=no
doLivestring–Enable liveness check on video: '1'=yes (default), '0'=no
filestringyesImage or video to analyze (file path, public URL, or base64)
labelsstringyesComma-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),…
typestring–'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.

NameTypeReqDescription
filestringyesFace 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.

NameTypeReqDescription
imagestringyesVehicle license photo (file path, public URL, or base64)
sidestring–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.

NameTypeReqDescription
filestringyesFace video, max 20s and 20MB (file path, public URL, or base64)

No output schema declared.

No examples provided.

Common questions

What is the eKYC Suite MCP server?

eKYC Suite is an MCP server listed in the public MCP registry as io.github.wefi-ai/ekyc-suite. KYC / eKYC MCP server for face compare, liveness, OCR, and image labeling. This page covers its npm package (@wefi-ai/ekyc-suite-mcp).

Is the eKYC Suite MCP server safe to use?

eKYC Suite scores 84 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. It declares no install or post-install scripts. 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 eKYC Suite MCP server expose?

eKYC Suite exposes 8 tools: face_compare, photo_liveness_detect, video_liveness_detect, id_card_ocr, bank_card_ocr, and 3 more. Their descriptions and schemas cost roughly 907 tokens of context every time the server is loaded.

Is the eKYC Suite MCP server still maintained?

eKYC Suite is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the eKYC Suite MCP server under?

eKYC Suite declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.