About
Deepfake Detector MCP Server by MEOK AI Labs
Security Report
This deepfake detector MCP server demonstrates reasonable security architecture with proper authentication checks and read-only operations, but contains several concerns that warrant caution. The server makes unauthenticated HTTP requests to an external metering endpoint (proofof.ai/verify) without validation, stores API keys in environment variables without clear guidance, and includes monetization/upsell logic that could be perceived as coercive. Rate limiting is implemented client-side only, making it bypassable. While the core analysis functions are stateless and idempotent as documented, the external metering dependency and credential handling patterns create moderate risk. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
7 files analyzed · 13 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
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This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-csoai-org-deepfake-detector-mcp": {
"args": [
"-y",
"deepfake-detector-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
mcp-name: io.github.CSOAI-ORG/deepfake-detector-mcp
Deepfake Detector MCP
Analyze images, videos, and audio for deepfake manipulation artifacts
Analyze images, videos, and audio for deepfake manipulation artifacts. Checks metadata, provenance chains, and synthesis indicators.
🚀 Quick Start
# Install via pip
pip install deepfake_detector_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install deepfake-detector-mcp --client claude
✨ Features
- MCP protocol compliant
- Easy installation
- Well-documented API
- Production-ready
- Active maintenance
📖 Documentation
🛡️ Compliance
This MCP server is built with EU AI Act compliance built-in:
- ✅ Article 9 — Risk Management System
- ✅ Article 13 — Transparency & Instructions for Use
- ✅ Article 15 — Bias Detection & Testing
- ✅ Article 26 — FRIA Support (where applicable)
- ✅ Article 50 — AI Content Watermarking (where applicable)
Need help getting compliant? Book a free 15-min diagnostic →
🏢 Enterprise
Need custom development, SLA guarantees, or white-label deployment?
- Pro: $99/mo — Full MCP suite + EU AI Act tracking
- Enterprise: $499/mo — Custom dev + SLA + Dedicated support
View Pricing → | Contact Sales →
🤝 Part of the MEOK Ecosystem
This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.
| Domain | Purpose |
|---|---|
| councilof.ai | EU AI Act compliance marketplace |
| safetyof.ai | AI safety & monitoring |
| meok.ai | Sovereign AI platform |
| cobolbridge.ai | Legacy modernization |
📜 License
MIT © CSOAI-ORG
Pairs with MEOK Governance Suite
Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.
# One-shot install of the governance pack
npx meok-setup --pack governance
Free tier: 10 calls/day per MCP. Pro tier (£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.
→ Full catalogue: councilof.ai/catalogue → MEOK AI Labs: meok.ai
💸 Try MEOK in 30 seconds — instant buy ladder
| Tier | Price | What you get | Stripe |
|---|---|---|---|
| Smoke test | £1 | Signed sample MCP-Hardening report + Article 50 PDF | https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t |
| Quick Kit | £9 | EU AI Act Article 50 implementation guide (C2PA + EU-Icon) | https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t |
| Founder Call | £29 | 30-min 1-on-1 with the founder | https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t |
Refundable. UK Stripe — VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.
Configuration
Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"deepfake-detector-mcp": {
"command": "uvx",
"args": ["deepfake-detector-mcp"]
}
}
}
Or: pip install deepfake-detector-mcp then run the deepfake-detector-mcp command (stdio transport).
Examples
Once configured, ask your assistant, for example:
- "Use
detect_deepfaketo …" - "Use
analyze_audio_authenticityto …" - "Use
check_image_provenanceto …"
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