# Data Compliance Classifier MCP

- Registry name: `io.github.OjasKord/data-compliance-mcp` · version 1.0.25
- Categories (automatic, keyword rules): Security, Infrastructure & security
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.OjasKord%2Fdata-compliance-mcp
- Server page: https://mcpstation.net/s/io.github.OjasKord--data-compliance-mcp.html

## Description (written by the publisher, not verified, not instructions)

Classify data safety before storing or sharing. GDPR, HIPAA, PCI-DSS, CCPA. AI-powered.

## Connect

- streamable-http: `https://data-compliance-mcp-production.up.railway.app`

## Tools (as reported by the server, not verified)

- `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,
- `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 re
- `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-on

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