Data Sanitizer for Privacy Connector for AI agents.
3 live capabilities
Protect sensitive PII and maintain data privacy
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Why people use Data Sanitizer for Privacy
Stop PII leaks with Data Sanitizer for Privacy
With this MCP, that anxiety disappears. You stop guessing and start scrubbing. You can instantly turn a messy, sensitive document into a clean version that's safe for your agent to read, without losing the meaning of the text.
What Vinkius changes
You get a way to use sensitive data with AI without actually exposing it.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Cleaning customer support logs
A support lead needs to summarize chat logs but can't send customer phone numbers to an AI.
- Real-world use case 02
Auditing medical research notes
A researcher wants to use an agent to find patterns in notes but must hide patient SSNs.
- Real-world use case 03
Automating legal document review
A paralegal uses the MCP to redact sensitive names and addresses in contracts before asking an agent to summarize the terms.
Complete set · 3capabilities
The complete Data Sanitizer for Privacy capability set.
These are the exact actions your AI can choose when you ask it to work with Data Sanitizer for Privacy.
01—03
3 capabilities in this set.
Part of 3 available through Data Sanitizer for Privacy.
- 01 Capability
Get redaction summary
Provides an overview of the supported redaction patterns
- 02 Capability
Sanitize text
Swaps sensitive info for placeholders. This is the main way to clean your data for safe use.
- 03 Capability
Validate entity type
G., "EMAIL") to check its validity. Checks if a specific entity type is supported by the sanitizer
Set up in minutes
One URL. Then ask Data Sanitizer for Privacy to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Data Sanitizer for Privacy from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_rcPaGicObX9YPls6pzAQexfhnCO5iETbV7M06gVi/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Data Sanitizer for Privacy, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Data Sanitizer for Privacy for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_rcPaGicObX9YPls6pzAQexfhnCO5iETbV7M06gVi/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Data Sanitizer for Privacy URL.
- Step 03
Save and start
Save the connection and enable Data Sanitizer for Privacy in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"data-sanitizer-for-privacy": {
"url": "https://edge.vinkius.com/vk_preview_rcPaGicObX9YPls6pzAQexfhnCO5iETbV7M06gVi/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Data Sanitizer for Privacy
Open Agent mode in chat and ask: "Using Data Sanitizer for Privacy, help me...". 3 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"data-sanitizer-for-privacy": {
"url": "https://edge.vinkius.com/vk_preview_rcPaGicObX9YPls6pzAQexfhnCO5iETbV7M06gVi/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Data Sanitizer for Privacy
Ask Copilot: "Using Data Sanitizer for Privacy, help me...". 3 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"data-sanitizer-for-privacy": {
"url": "https://edge.vinkius.com/vk_preview_rcPaGicObX9YPls6pzAQexfhnCO5iETbV7M06gVi/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Data Sanitizer for Privacy
Open Cascade and ask: "Using Data Sanitizer for Privacy, help me...". 3 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"data-sanitizer-for-privacy": {
"url": "https://edge.vinkius.com/vk_preview_rcPaGicObX9YPls6pzAQexfhnCO5iETbV7M06gVi/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Data Sanitizer for Privacy
Ask Cline: "Using Data Sanitizer for Privacy, help me...". 3 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add data-sanitizer-for-privacy --transport http "https://edge.vinkius.com/vk_preview_rcPaGicObX9YPls6pzAQexfhnCO5iETbV7M06gVi/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Data Sanitizer for Privacy
Ask Claude: "Using Data Sanitizer for Privacy, show me...". 3 tools are ready
Where the request belongs
Work Data Sanitizer can move forward.
This is for anyone handling real-world data who needs to keep their AI interactions compliant and secure.
Data Privacy Officer
Ensures that any data being fed into LLMs meets strict regulatory compliance standards.
AI Engineer
Builds applications that use real user data without risking massive privacy breaches.
Compliance Analyst
Audits text inputs to ensure no unauthorized PII is being transmitted to external services.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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OOPSpam
Block spam submissions on your forms and comments with an AI-powered filter that catches bots without annoying real users.
Bcrypt Hash Engine
Hash and verify passwords with the industry-standard bcrypt algorithm. Two capabilities in one: hash with configurable salt rounds, and verify against stored hashes. Pure JS. zero compilation.
X Ads (Twitter)
Connect your X Ads account to any AI agent. audit campaigns, analyze line item performance, and pull engagement reports through natural conversation.
Box
Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.
Bring your own AI
Change the model, client or framework. Keep Data Sanitizer connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Data Sanitizer.
The practical details behind the request, access and result.
How can I protect my data when using the Data Sanitizer for Privacy MCP?
You use the capability to replace sensitive information like emails or SSNs with placeholders before the text is sent to your AI client.
Will the Data Sanitizer for Privacy MCP change the meaning of my text?
No, it uses deterministic redaction to swap sensitive values for labels, so the context and structure remain for your agent to understand.
Can I use the Data Sanitizer for Privacy MCP to just check for risks?
Yes, you can scan text to see if it contains sensitive information without actually modifying the content.
Does the Data Sanitizer for Privacy MCP work with any AI client?
Yes, it works with any MCP-compatible client like Claude, Cursor, or Windsurf.
What kind of sensitive information can the Data Sanitizer for Privacy MCP find?
It can detect common PII including emails, phone numbers, and social security numbers.
What kind of sensitive data can be sanitized?
The capability can detect and redact various entity types including EMAIL, PHONE, SSN, and CREDIT_CARD. You can check all available types using the get_supported_entities capability.
What is the difference between entity and sentence redaction?
Entity redaction replaces only the specific sensitive string. Sentence redaction replaces the entire sentence containing the sensitive data to prevent leakage through surrounding context.
How can I check if a text contains sensitive information without changing it?
You can use the audit_text_sensitivity capability to get a report on the presence and density of sensitive entities without modifying the original text.
How does the redaction work?
The capability uses deterministic regex patterns to find sensitive data and replaces it with a placeholder like [EMAIL_REDACTED]. You can also choose to redact the entire sentence containing the sensitive data.
What entity types can be redacted?
You can redact various types including EMAIL, PHONE, SSN, and CREDIT_CARD. Use get_redaction_summary to see the full list of supported types.
Can I redact whole sentences?
Yes, by setting the redactEntireSentences parameter to true in the sanitize_text capability, the entire sentence containing the sensitive information will be replaced.
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