data-compliance-mcp

Data Compliance Classifier MCP

Your agent is about to store customer data. Is it safe to? This tool tells you in one call.

What it does

Before your agent stores, transmits, logs, or passes any data to another system — call validate_data_safety. Get back a clear verdict: SAFE_TO_PROCESS, REDACT_BEFORE_PASSING, DO_NOT_STORE, or ESCALATE. Your agent acts on the verdict immediately. No human interpretation needed.

Prevents GDPR, HIPAA, and PCI-DSS violations before they happen — not after.

Why this exists

Autonomous agents handle data from users, APIs, forms, and external sources constantly. Most agents process that data without checking whether they should. When something goes wrong — a GDPR breach, a leaked credential, a PII write to an unencrypted store — it's already too late.

This tool gives agents a pre-action safety check. One call, clear verdict, agent proceeds or halts.

Tools

validate_data_safety (free tier)

Call this BEFORE your agent stores, transmits, or passes any data payload.

Input:

• payload — the data to classify (any string, JSON, form data, API response)
• context — what your agent is about to do with it (improves accuracy)
• data_origin_ip — optional IP for jurisdiction detection (GDPR if EU, CCPA if US, etc.)
• jurisdiction — optional override if IP unavailable

Output:

• verdict — SAFE_TO_PROCESS / REDACT_BEFORE_PASSING / DO_NOT_STORE / ESCALATE
• sensitivity_level — PUBLIC / INTERNAL / CONFIDENTIAL / RESTRICTED
• detected_categories — PII, PHI, PCI, CREDENTIALS, FINANCIAL, LOCATION, etc.
• applicable_regulations — GDPR, HIPAA, PCI-DSS, CCPA, PIPEDA, LGPD, etc.
• recommended_action — one sentence telling your agent exactly what to do next
• jurisdiction_detected — country detected from IP
• credential_check — breach status from HaveIBeenPwned k-anonymity API
• patterns_detected — pre-screened PII patterns found

get_safety_report (paid tier)

Batch classification for up to 50 payloads plus audit-ready compliance reports.

Modes:

• BATCH — classify multiple payloads with full AI reasoning + AbuseIPDB threat intelligence
• AUDIT — generate a structured compliance report for a dataset description

validate_data_safety_lite (free tier)

Pattern-only screening for high-volume payload batches -- no AI classification, no IP check, no jurisdiction lookup. Returns SAFE_TO_PROCESS / REVIEW_REQUIRED in under 100ms. Use to filter large batches before selectively running validate_data_safety on flagged items.

Data privacy

We do not store or log your data payloads. All payloads are analysed in memory and immediately discarded. Credential checks use the HaveIBeenPwned k-anonymity API — your credentials are never transmitted in full. Only the first 5 characters of a SHA-1 hash are sent.

Data sources

• Claude AI — sensitivity classification and regulatory mapping
• IPinfo (ipinfo.io) — jurisdiction detection from IP address
• HaveIBeenPwned (haveibeenpwned.com) — credential breach checking via k-anonymity
• AbuseIPDB (abuseipdb.com) — IP threat intelligence (paid tier)

Pricing

Plan	Classifications	Price
Free	20/month	No API key needed
Starter	500-call bundle	$24
Pro	2,000-call bundle	$84

Upgrade at kordagencies.com

Quick start

No API key needed for free tier:

{
  "data-compliance": {
    "url": "https://data-compliance-mcp-production.up.railway.app"
  }
}

With paid API key:

{
  "data-compliance": {
    "url": "https://data-compliance-mcp-production.up.railway.app",
    "headers": {
      "x-api-key": "your_api_key_here"
    }
  }
}

Harness Integration

Claude Code / Claude Desktop (.mcp.json)

{
  "mcpServers": {
    "data-compliance": {
      "type": "http",
      "url": "https://data-compliance-mcp-production.up.railway.app"
    }
  }
}

LangChain (Python)

from langchain_mcp_adapters.client import MultiServerMCPClient
client = MultiServerMCPClient({
    "data-compliance": {
        "url": "https://data-compliance-mcp-production.up.railway.app",
        "transport": "http"
    }
})
tools = await client.get_tools()

OpenAI Agents SDK (Python)

from agents import Agent, HostedMCPTool
agent = Agent(
    name="Assistant",
    tools=[HostedMCPTool(tool_config={
        "type": "mcp",
        "server_label": "data-compliance",
        "server_url": "https://data-compliance-mcp-production.up.railway.app",
        "require_approval": "never"
    })]
)

LangGraph

Same as LangChain above — langchain-mcp-adapters works with LangGraph natively.

Example call

curl -X POST https://data-compliance-mcp-production.up.railway.app \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"validate_data_safety","arguments":{"payload":"{\"name\":\"John Smith\",\"email\":\"[e-mail]\",\"dob\":\"1985-03-12\",\"address\":\"14 Baker Street, London\"}","context":"write to customer database","jurisdiction":"EU"}}}'

Expected response:

{
  "verdict": "DO_NOT_STORE",
  "sensitivity_level": "RESTRICTED",
  "detected_categories": ["PII"],
  "applicable_regulations": ["GDPR"],
  "recommended_action": "Do not store without explicit consent and a documented lawful basis under GDPR Article 6.",
  "jurisdiction_detected": "EU"
}

Legal

Classification is AI-powered and for informational purposes only. Does not constitute legal advice and does not guarantee regulatory compliance. Full terms: kordagencies.com/terms.html