A Python-based HR toolkit that exposes MCP tools for common people operations: leave balance calculations, payroll estimations, performance review workflows, onboarding checklist generation, and compliance checking. Built by MEOK AI Labs with EU AI Act compliance features baked in, including bias detection and transparency logging. You'd reach for this when building AI assistants that need to answer HR questions or automate routine people ops tasks without connecting to a full HRIS. The repo emphasizes regulatory compliance over deep integrations, so expect general-purpose HR utilities rather than connectors to specific platforms like BambooHR or Workday. Install via pip or Smithery, runs over stdio transport.
Human resources toolkit: leave calculation, payroll estimation, performance reviews, onboarding c...
Human resources toolkit: leave calculation, payroll estimation, performance reviews, onboarding checklists, and compliance checking. By MEOK AI Labs.
# Install via pip
pip install hr_management_ai_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install hr-management-ai-mcp --client claude
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| Domain | Purpose |
|---|---|
| councilof.ai | EU AI Act compliance marketplace |
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MIT © CSOAI-ORG
Built with 💜 by MEOK AI Labs · UK Companies House 16939677
MIT © [MEOK AI Labs](https://meok.ai)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
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| 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 |
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Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:
{
"mcpServers": {
"hr-management-ai-mcp": {
"command": "uvx",
"args": ["hr-management-ai-mcp"]
}
}
}
Or: pip install hr-management-ai-mcp then run the hr-management-ai-mcp command (stdio transport).
Once configured, ask your assistant, for example:
leave_calculator to …"payroll_estimator to …"performance_review to …"