Offline AI governance code indicators (EU AI Act, Korea, Colorado). Indication, not legal advice.
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io.github.kuzivaai/regula is an MCP server that offline AI governance code indicators (EU AI Act, Korea, Colorado). Indication, not legal advice. Its tool list has not been published yet over stdio and sse, requires no API key, and scores 54/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-kuzivaai-regula": {
"args": [
"regula-ai"
],
"command": "uvx"
}
}
}Are you the author?
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Offline-capable, code-native AI governance scanning. The core scan runs locally, does not upload scanned file contents, and needs no account; telemetry is sent only with explicit opt-in consent. Regula flags patterns that may need review under the EU AI Act, South Korea's AI Basic Act, and Colorado SB 26-189, records the deployment facts code cannot show, and reports insufficient information rather than inventing a score.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
uvx 'regula-ai' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
Checked regula-ai against OSV.dev.
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Offline-capable, code-native AI governance scanning. The core scan runs locally, does not upload scanned file contents, and needs no account; telemetry is sent only with explicit opt-in consent. Regula flags patterns that may need review under the EU AI Act, South Korea's AI Basic Act, and Colorado SB 26-189, records the deployment facts code cannot show, and reports insufficient information rather than inventing a score.
$ regula check examples/cv-screening-app --scope all
Decision: insufficient_information
Jurisdiction: eu
Rule resolution: unresolved
Facts needed to resolve the next decision: 2
- is_ai_system: Does the subject meet the governing law's definition of an AI system or regulated automated technology?
- jurisdiction_in_scope: Does this jurisdiction's territorial and operator scope apply?
Detector observations (not legal facts):
Detector summary: ANNEX III OR SECURITY PATTERNS
The scanner found patterns relevant to Annex III or security review.
Resolve the facts listed above before attaching Article 9 to 15 duties.
Files scanned: 1
High-risk: 1
INFO tier: 1
HIGH-RISK INDICATORS:
[INFO] [ 43] app.py — Employment and workers management [plan]
Detector priority: 0-100 (higher = more code patterns matched; not a correctness probability)
Excerpt from the real output of the command shown, against the tracked fixture
examples/cv-screening-app. The per-category
counts that read zero and the next-steps footer are omitted for length; nothing
else is edited. scripts/verify_transcripts.py re-runs this command on every
check and fails if any line above stops appearing in its output.
Regula scans a local source-code folder for patterns that may need AI governance review. A questionnaire records facts that code cannot show, such as where and how a system will be used. Results identify candidate risk categories and link to provisions that may be relevant. Regula does not determine legal classification, compliance, or the obligations that apply to a real deployment.
Reference material covers the EU AI Act, South Korea's AI Basic Act (Act No. 20676), and Colorado SB 26-189. The core install has no required third-party runtime dependencies. Optional extras add dependencies, and some optional commands or configured features can contact external services. Assess territorial scope and data-processing duties independently.
In plain English: give Regula a source-code folder and answer questions about how the system will be used. It returns possible issues and a review trail so a developer, governance lead, or adviser can decide what to investigate next. A scan with no findings does no