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eKYC Suite MCP server

by wefi-ai·io.github.wefi-ai/ekyc-suite·v1.0.2·4 stars
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KYC / eKYC MCP server for face compare, liveness, OCR, and image labeling.

B77/100grade B
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Safety scan
B77/100

full report

Adoption
Growing

4 stars56 downloads/wk

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If you have run it, two minutes of your experience saves the next person an afternoon.

eKYC Suite tools (8)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • bank_card_ocr

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

  • driver_license_ocr

    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.

  • face_compare

    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).

  • id_card_ocr

    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.

  • media_labeling

    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.

  • photo_liveness_detect

    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.

  • vehicle_license_ocr

    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.

  • video_liveness_detect

    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.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

no findings
  • Code scan3 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitystatic API keys via environment variables6/15
  • Maintenancelast push 69 days ago12/15
  • Maintainer identityregistry namespace matches repository owner7/10
Overall 77/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How eKYC Suite compares

Against every graded Media MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
77/100
higher than 50% of 1,337 Media servers
Tools
8
the typical Media server has 7
Tools that change things
0%
typical: 4%. Fewer write tools means less an agent can break
GitHub stars
4
more than 80% of 715 Media servers
Downloads a week
56
more than 43% of 365 Media servers with a package

What its tools let an agent do: 8 read

Install eKYC Suite in Claude Code, Cursor or VS Code

Runs npx -y @wefi-ai/ekyc-suite-mcp on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add ekyc-suite -- npx -y @wefi-ai/ekyc-suite-mcp
Add to Cursor

What the publisher says

From the eKYC Suite repository's README, as published. We do not edit it. Read it on GitHub

eKYC Suite MCP Server — KYC Identity Verification for AI Agents

Financial-grade eKYC / KYC identity verification MCP Server for AI agents, exposed as 8 MCP tools.

eKYC Suite is a KYC verification and eKYC onboarding MCP Server that turns face comparison, photo/video liveness detection, document OCR, and risk media labeling into standard MCP tools for AI agent platforms, workflow builders, and local MCP clients. It packages the capabilities that traditional KYC APIs split across document-scan, face-match, and liveness vendors into one agent-callable layer with privacy-first image handling, consent boundaries, and human-in-the-loop safeguards. Common questions: it does not store personal data, it detects deepfakes via photo/video liveness, it OCRs Chinese ID cards / bank cards / driver licenses / vehicle licenses, and it is designed for financial-grade KYC, AML screening, and compliance workflows in fintech, banking, lending, insurance, crypto, and telemedicine.

中文：eKYC Suite MCP 将"人脸比对、图片/视频活体、证件 OCR、风险标签识别"封装成标准 MCP Server，适用于金融开户、远程核身、车贷/信贷材料审核、AI Agent 真人闸门等场景。

What Is eKYC Suite MCP?

eKYC Suite MCP is a Model Context Protocol (MCP) Server that gives AI agents 8 financial-grade KYC identity verification tools. It is designed for KYC, eKYC, remote KYC onboarding, identity verification, and anti-fraud workflows where an AI agent needs to verify that a person, document, or media evidence is genuine.

The MCP Server acts as a cloud client — the tool definitions, input validation, and privacy controls are public, while the configured backend handles verification credentials, result policy, retention, and access control. The server does not store, cache, or retain any submitted data.

Why This KYC MCP Server

AI agents are increasingly used in onboarding, lending, insurance, and compliance workflows. The missing layer is a reliable human gate: when an agent reaches a high-risk step, it needs to verify that the person/document/media evidence is real enough to continue.

This MCP provides that layer:

  • Human binding: compare a selfie with a document photo or reference photo (face comparison)
  • Anti-spoofing: detect photo/video replay, synthetic faces, deepfake traces, and suspicious captures (liveness detection)
  • Document digitization: OCR ID cards, bank cards, driver licenses, and vehicle licenses for KYC data prefill
  • Scene/risk tags: identify masks, coercion, phone use, multiple people, hotel/car/dealership scenarios, and other risk labels

Capabilities

Install

npm install @wefi-ai/ekyc-suite-mcp

Or run from source:

git clone https://github.com/wefi-ai/eKYC-Suite
cd eKYC-Suite
npm install
npm test

Credentials

Create .env from .env.example and fill in credentials:

cp .env.example .env

You can configure one or both credential groups:

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

eKYC Suite: common questions

Is eKYC Suite MCP server safe?
Mostly: it is graded B (77/100). Read the eKYC Suite safety report
How do I install eKYC Suite?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does eKYC Suite need an API key?
Yes. The registry entry asks for KYC_APPID, KYC_SECRET, LABEL_APPID, LABEL_SECRET.
Is eKYC Suite maintained?
The last commit was 106 days ago (2026-07-21). The latest release is v1.0.2.
What can I use instead of eKYC Suite?
Servers from other publishers that do the same job: Remove AI Watermarks MCP server, Transloadit Media Processing MCP server and SuperCMO MCP server.
How does eKYC Suite compare with other Media MCP servers?
safety score 77/100 (higher than 50% of 1,337 Media servers); tools 8 (the typical Media server has 7); tools that change things 0% (typical: 4%. Fewer write tools means less an agent can break). Full comparison.

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