quick_scan
One-sentence AI system description -> instant EU AI Act risk classification and top obligations. No API key required.
LABSCO SUMMARY
A frozen corpus is what makes an answer checkable.
Provision-level granularity means a classification can be traced to the text it came from, which is the difference between advice you can defend and advice you have to re-derive. Two commercial layers sit on top: pay-per-call at £0.05, switched on only when you set MEOK_PAYG_KEY and adjustable through MEOK_PAYG_RATE_GBP, and a Pro tier that turns each result into an HMAC-signed attestation with a public verify URL an auditor can check without an account.
What it is
An EU AI Act compliance server built on a frozen measurement corpus of 417 provisions — a finer-grained map than the Act's 113 Articles, so an answer points at a provision rather than a whole article.
What you get
classify_ai_risk— place a system in the Act's risk categoriescheck_compliance— a compliance check against the requirements of Articles 9–15get_timeline— the Act's key implementation dates and deadlines- A 42-point audit, Article 11 documentation support and a penalty calculator, over the same corpus
Requirements
The PyPI package eu-ai-act-compliance-mcp, version 1.8.14, over stdio — uvx eu-ai-act-compliance-mcp, or pip install eu-ai-act-compliance-mcp and run the matching command. The free tier is 50 calls a day; nothing else is required to start.
Setup effort
One command — pip install eu_ai_act_compliance_mcp
USE CASES
01
Working out which risk class a system falls into
Classify it against the Act's categories before designing controls around a guess.
02
Getting a first read on where you stand
Run a quick scan to see which obligations are in play at all.
03
Knowing what is due when
Check an obligation against the phased timeline rather than one headline date.
16 tools
Listed in project docs. Your client may show a different list.
deadline_check
All EU AI Act enforcement deadlines with days remaining. No parameters needed.
classify_ai_risk
Classify an AI system's risk level under the EU AI Act.
check_compliance
Run an EU AI Act compliance check against Articles 9-15 requirements.
generate_documentation
Generate Article 11 / Annex IV compliant technical documentation template.
assess_penalties
Calculate potential EU AI Act penalties for a given violation type.
get_timeline
Get key EU AI Act implementation dates and deadlines.
audit_report
Generate a complete EU AI Act audit report.
multi_jurisdiction_map
Map EU AI Act articles to equivalent requirements in UK, Singapore, Canada, and US NIST.
predict_risk_neural
Neural network-based risk prediction that improves from every compliance check. Predicts overall risk, violation probability, remediation urgency, and audit priority.
neural_insights
Get aggregate learning insights from the neural compliance model — training history, maturity, and common risk patterns.
search_regulation
Full-text search across 410 articles of real EU regulation text (EUR-Lex verified).
get_article_text
Return the full verbatim text of one article from EUR-Lex, with canonical URL.
list_regulations_in_db
List all regulations currently in the EUR-Lex FTS5 database with article counts and last-sync date.
iso_42001_crosswalk
Map ISO/IEC 42001 (AI Management System) clauses to EU AI Act articles, with evidence reuse hints.
cross_references_for_article
Citation graph for one article — what it cites + who cites it.
BEFORE YOU INSTALL
What to know first
Tools you get
16 tools named in the project's documentation.
Requires
uvx on PATH
Where it runs
Both documented clients run the server on your machine.
INSTALLATION
Connect your client
Server setup
TERMINAL
pip install eu_ai_act_compliance_mcpMCP Clients
Claude Desktop, Any MCP client
JSON
{
"mcpServers": {
"eu-ai-act-compliance-mcp": {
"command": "uvx",
"args": [
"eu-ai-act-compliance-mcp"
]
}
}
}
