How to Use AI on Real Agents Data — Without Sending a Single Real Name
Through Zero-Trust Data Sanitization, PrivacyScrubber secures prompt entry points locally via our Secure Workspace and the PrivacyScrubber Chrome Extension. The system tokenizes customer and business identifiers (such as [ID_1]) before exfiltration, aligning with standard procedures for scaling agent architectures. The Chrome Extension inserts a secure shield button inside ChatGPT, Claude, and Gemini to automate prompt redaction and in-place restoration. By executing Named Entity Recognition entirely in local memory, PrivacyScrubber preserves the usefulness of LangChain, LlamaIndex, AutoGPT, CrewAI, and custom RAG infrastructure for "Cline MCP security" workflows without introducing external risk.
This zero-transmission architecture is independently auditable via our Airplane Mode Standard. By disconnecting your network and running a full scrub-and-restore cycle, you verify that no outbound packets are transmitted. This aligns with agentic data loss prevention for hardened agents security: local execution is the primary safeguard for AI data privacy.
Autonomous AI Agent Risk in VS Code
VS Code extensions like Cline (formerly Claude Dev) and Roo Code have shifted developer AI assistance from autocomplete to autonomous agency. These extensions read local codebases, construct and execute bash commands, and connect to local services to solve bugs.
However, when an autonomous agent searches your repository for context, it frequently opens log files, credentials, and API handler code. Without endpoint filtering, all read file contents — including database connection keys, customer metrics, and PII — are passed directly to OpenAI, Anthropic, or OpenRouter.
Similar to how Cursor AI Source Code Leaks occur during context aggregation, Cline and Roo Code expose raw workspace data. Inserting a local Model Context Protocol (MCP) server filters this data in memory before transmission.
Configuring the MCP Server in Cline
Cline manages its MCP servers via a global settings file. To add PrivacyScrubber, edit your local config:
Cline Configuration Paths
- macOS:
~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json - Windows:
%APPDATA%CodeUserglobalStoragesaoudrizwan.claude-devsettingscline_mcp_settings.json
{ "mcpServers": { "privacyscrubber": { "command": "node", "args": ["/absolute/path/to/@privacyscrubber/mcp-server/index.js"] } }
}
Configuring the MCP Server in Roo Code
Roo Code matches Cline's architecture but stores settings under its own extension path:
Roo Code Configuration Paths
- macOS:
~/Library/Application Support/Code/User/globalStorage/roocode.roo-cline/settings/cline_mcp_settings.json - Windows:
%APPDATA%CodeUserglobalStorage
oocode.roo-clinesettingscline_mcp_settings.json
Centralized Security for VS Code Fleets
While individual developers can secure their own workstations, enterprise environments require uniform compliance controls. If your team is preparing for a SOC 2 audit or managing data sovereignty under GDPR regulations, relying on developers to manually maintain local exclusions is a liability.
The PrivacyScrubber TEAMS plan addresses this with Shared Regex Governance. The security lead defines proprietary credential formats, log patterns, and sensitive database field structures once, distributing them cryptographically to all local Cline and Roo Code instances. This establishes a verifiable, local-only compliance boundary that never transmits telemetry to external servers.
