employment-ai
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@employment-ai run bias detection on my hiring model"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Employment Ai
MEOK AI Labs — employment-ai MCP Server
MEOK AI Labs — employment-ai MCP Server
🚀 Quick Start
# Install via pip
pip install employment_ai
# Or install via Smithery
npx -y @smithery/cli@latest install employment-ai --client claudeRelated MCP server: attestix
✨ 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 |
EU AI Act compliance marketplace | |
AI safety & monitoring | |
Sovereign AI platform | |
Legacy modernization |
📜 License
MIT © CSOAI-ORG
Available Tools
2 toolshiring_ai_complianceB
Assess regulatory compliance for AI-based hiring, recruitment, and selection systems. Covers NYC Local Law 144, EEOC guidance, EU AI Act employment provisions, bias auditing, and candidate rights.
Inputs: system_name (required), ai_function (required), data_inputs (required), jurisdiction (required).
workplace_surveillance_complianceA
Assess compliance for AI-based workplace monitoring and surveillance systems. Covers EU AI Act prohibitions, employee rights, proportionality, and Platform Workers Directive.
Inputs: system_name (required), monitoring_type (required), data_collected (required), jurisdiction (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 2 tools
The two tools cover distinct compliance areas—hiring vs. workplace surveillance—with no overlap in purpose or context.
Both tools follow a consistent '[domain]_compliance' naming pattern with underscores, making the pattern predictable.
Only two tools for a broad domain like employment AI feels thin, but they are focused on compliance assessment which partially justifies the count.
The tools cover hiring and surveillance compliance, but miss other employment AI areas like performance evaluation or promotion, leaving notable gaps.
Maintenance
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