mcp-name: io.github.CSOAI-ORG/dataprivacy-ai-mcp
Dataprivacy Ai MCP
dataprivacy-ai-mcp MCP — AI-powered automation tool
dataprivacy-ai-mcp MCP — AI-powered automation tool. MIT.
🚀 Quick Start
# Install via pip
pip install dataprivacy_ai_mcp
# Or install via Smithery
npx -y @smithery/cli@latest install dataprivacy-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": {
"dataprivacy-ai-mcp": {
"command": "uvx",
"args": ["dataprivacy-ai-mcp"]
}
}
}
Or: pip install dataprivacy-ai-mcp then run the dataprivacy-ai-mcp command (stdio transport).
Examples
Once configured, ask your assistant, for example:
- "Use
classify_personal_datato …" - "Use
assess_lawful_basisto …" - "Use
generate_dpiato …"
Release files for dataprivacy-ai-mcp 1.0.14
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dataprivacy_ai_mcp-1.0.14.tar.gz | 32.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dataprivacy_ai_mcp-1.0.14-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 56.4 kB
Release files / dataprivacy_ai_mcp-1.0.14.tar.gz
| Download URL | dataprivacy_ai_mcp-1.0.14.tar.gz |
|---|---|
| Size | 32.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
|
Release files / dataprivacy_ai_mcp-1.0.14-py3-none-any.whl
| Download URL | dataprivacy_ai_mcp-1.0.14-py3-none-any.whl |
|---|---|
| Size | 24.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
92f454de28606dbc44c48e03992338862fedba98812ffe3bfb4abfe918b021cd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.14.5
|