📡 MCP Radar

strac-io/strac-mcp-dlp

MCP server for Strac DLP — detect and redact PII, PHI, PCI and secrets before an AI agent sees them.

⭐ 7 stars
⑂ 0 forks
Python
momentum ▲ 14.0
created 2026-09-02
on radar since 2026-09-04
star trend 4 → 7 since 2026-09-04
ai-securityclaudedata-loss-preventiondlpllm-securitymcpmodel-context-protocolpiipii-detectionredaction
View on GitHub ↗Homepage ↗

About strac-mcp-dlp

Strac MCP DLP — PII/PHI/PCI & secret redaction for AI agents (MCP)

An open-source Model Context Protocol server that gives any AI agent — Claude, Cursor, VS Code, your own — a way to find and strip sensitive data before it reaches the model.

Point your agent at it, and redacttext turns

...along with a structured list of what was found. It works the same on images, PDFs and scanned documents.

This is a thin client over the Strac DLP API. Bring your own API key; all detection and redaction happens server-side at Strac.

Agents are now wired into inboxes, ticketing systems, CRMs, databases and file stores. Every MCP tool call is a chance for an SSN, a card number, a patient record or an AWS key to be pulled into a prompt — and from there into a model provider's logs, a vector store, a Slack summary or a support ticket.

Filtering that data after the model has seen it is too late. This server puts the check in front of the model: detect first, redact, then let the agent reason over text that no longer carries the sensitive values.

Redacting a string you hand it is the smallest thing Strac does. The product is coverage: connect Strac to the SaaS and cloud apps where your sensitive data already lives, and it discovers, classifies, redacts and remediates it there — continuously, under your policies, with an audit trail — rather than waiting for someone to paste it into a prompt.

Slack, Google Workspace, Microsoft 365, Salesforce, Zendesk, Box, Dropbox, Jira, Confluence, GitHub, Notion, OneDrive, SharePoint, Snowflake, Databricks, BigQuery, Postgres, MongoDB, AWS, Azure, GCP,

From the project README.

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