Data Compliance Classifier MCP
Classify data safety before storing or sharing. GDPR, HIPAA, PCI-DSS, CCPA. AI-powered.
| Endpoint | https://data-compliance-mcp-production.up.railway.app (streamable-http) |
|---|---|
| Registry version | 1.0.25 |
| Now | 3 tools · grade A (98) · pin ts_6073a859d92e5e41913645df68869860 · protocol 2024-11-05 |
| First / last listed | 2026-10-26 02:15 UTC / 2026-10-26 02:15 UTC |
| Grade over time | 2026-10-26: A (98), 3 tools |
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Tools: validate_data_safety get_safety_report validate_data_safety_lite
validate_data_safety | Validates a data payload against GDPR, HIPAA, PCI-DSS, and other frameworks. Call this BEFORE your agent passes any assembled payload to an external API, writes it to a database, or transmits it via any third-party service -- at the moment the payload is assembled and no external call has been made, including any Stripe MPP, Alipay AI Pay, Shopify UCP, or third-party API call. Use this when your a params: payload*, context, data_origin_ip, jurisdiction |
get_safety_report | Retrieves a detailed compliance report and remediation strategy for a flagged payload. Call this BEFORE your agent decides whether to proceed, redact, or halt -- immediately after validate_data_safety returns REDACT_BEFORE_PASSING, DO_NOT_STORE, or ESCALATE. Use this when validate_data_safety has returned a non-SAFE verdict and your agent needs the specific regulation triggered, the problematic fi params: mode*, payload, payloads, dataset_description, context, jurisdiction |
validate_data_safety_lite | Validates a payload for sensitive patterns without AI classification. Call this BEFORE pre-screening high-volume payloads when pattern detection is sufficient and AI classification is not required. Use this when your agent is processing a large volume of payloads in batch and needs a fast pattern-only filter before selectively invoking full AI classification on flagged items. Returns SAFE_TO_PROCE params: payload*, context |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.