EU AI Act compliance audit trails and evidence generation for AI agent systems — risk classification
Compliance MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. EU AI Act compliance audit trails and evidence generation for AI agent systems — risk classification.
Once Compliance is connected, these are the calls the assistant has available:
assess_risk_level — Classify an AI system under EU AI Act risk frameworkcreate_audit_trail — Start a compliance audit trail for an AI systemlog_decision — Log an AI decision with full traceability metadatacheck_compliance_gaps — Identify missing compliance requirementsgenerate_evidence_package — Generate auditor-ready evidence documentationget_enforcement_timeline — Show upcoming enforcement deadlines and penaltiescompliance-shield-mcp on npm is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Compliance's toolset — assess_risk_level, create_audit_trail, log_decision and 3 more — is a fair guide to whether it matches your workflow. It is maintained by mdfifty50-boop; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| assess_risk_level | Classify an AI system under EU AI Act risk framework |
| create_audit_trail | Start a compliance audit trail for an AI system |
| log_decision | Log an AI decision with full traceability metadata |
| check_compliance_gaps | Identify missing compliance requirements |
| generate_evidence_package | Generate auditor-ready evidence documentation |
| get_enforcement_timeline | Show upcoming enforcement deadlines and penalties |
### Claude Desktop
```json
{
"mcpServers": {
"compliance-shield": {
"command": "npx",
"args": ["compliance-shield-mcp"]
}
}
}Configuration as documented by the project. Restart the client after saving.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.