About recruitment-ai-mcp
recruitment-ai-mcp is an MCP server from MEOK AI Labs for recruitment tasks. It provides tools for drafting job descriptions, scoring CVs, and generating interview questions, with EU AI Act compliance measures described in its documentation.
Key features
- 01Generate job descriptions
- 02Score CVs
- 03Generate interview questions
- 04EU AI Act compliance measures
Use cases
- 01Drafting recruitment job descriptions
- 02Scoring candidate CVs
- 03Preparing interview questions
MCP support
Exposes recruitment tools to MCP clients, including `generate_job_description`, `score_cv`, and `generate_interview_questions`. It can be launched over stdio using `uvx` or installed with pip.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMERecruitment Ai MCP
MEOK AI Labs MCP Server
MEOK AI Labs MCP Server
🚀 Quick Start
# Install via pip
pip install recruitment_ai_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install recruitment-ai-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
Built with 💜 by MEOK AI Labs · UK Companies House 16939677
MIT © [MEOK AI Labs](https://meok.ai)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": {
"recruitment-ai-mcp": {
"command": "uvx",
"args": ["recruitment-ai-mcp"]
}
}
}
Or: pip install recruitment-ai-mcp then run the recruitment-ai-mcp command (stdio transport).
Examples
Once configured, ask your assistant, for example:
- "Use
generate_job_descriptionto …" - "Use
score_cvto …" - "Use
generate_interview_questionsto …"
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.