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Protect LLM workflows with redaction, policy enforcement, safety checks, and audit logs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Redaction & Compliance MCP Server" yet — see the docs or source repo.
Add a pre-processing step before our customer support AI call: detect and redact names, phone numbers, email addresses, national IDs, and bank card numbers in user input; if high-risk personal data is found, block the request according to policy and write an audit log; otherwise output reversibly redacted content for the model to process.
Returns redacted request content, risk classification, an allow-or-block policy decision, and the related audit record.
Run post-processing checks on LLM output: detect confidential data leakage, disallowed advice, unsafe content, or responses outside compliance boundaries; mark or replace violating passages, block the final output when necessary, and generate an immutable audit log.
Outputs a reviewed safe version, violation reasons, remediation actions taken, and complete audit information.
Build a unified gateway for multiple internal AI apps: add detection, classification, policy enforcement, reversible redaction, and logging before and after all LLM requests; provide an implementation plan covering request flow, policy layers, exception handling, and audit field design.
Provides an enterprise-ready compliance gateway plan with flow design, control points, and recommended audit fields.
Detect and redact sensitive personal information from files safely and quickly.
Detect, redact, and audit PHI in medical text before AI use.
Detect, redact, and audit PHI in medical text before AI processing.
Sanitize documents locally by removing or transforming PII before public LLM use.
Secure MCP servers with policy checks, redaction, access control, and audit logs
Give coding agents redacted access to private local files and context.