Privacy Protection for AI - Now with Native Claude Desktop Integration
Connect your AI tools directly to anonym.legal with native stdio transport for Claude Desktop or HTTP for any MCP tool. 48 languages, 6 anonymization operators, entity groups, presets, and personal encryption keys.
The Hidden Risk in AI-Assisted Work
Every time you use ChatGPT, Claude, or Cursor, you might be sharing sensitive information. Most users don't realize their data is being sent to third-party AI providers.
Customer names and emails
Financial account numbers
Medical records and patient IDs
Trade secrets and proprietary data
How It Works: Automatic Protection
You Write Normally
With sensitive data
AI Tool
Cursor, Claude, etc.
anonym.legal MCP Server
1. Detect
Find sensitive info
2. Replace
Use placeholders
3. Store
Encrypted, temporary
AI Processes
Safe placeholders only
Restore Values
Original data back
The MCP Server acts as a privacy shield between your AI tools and sensitive data. AI never sees your real information.
What Gets Protected?
The system automatically detects and protects 285+ types of sensitive information
People
John Doe, Jane Smith, Dr. Williams
Emails
john@example.com, info@company.org
Phones
+1-555-1234, (555) 123-4567
Credit Cards
4532-1234-5678-9010
Addresses
123 Main Street, New York, NY
Dates
January 15, 2026, 01/15/2026
Medical Info
Patient ID, prescription numbers
Financial IDs
IBANs, Tax IDs, VAT numbers
Digital Identifiers
IP addresses, MAC addresses, URLs
And 40+ More Types
License plates, passport numbers, etc.
Key Benefits
Native Claude Desktop Integration
Stdio transport for Claude Desktop - just add to your config. HTTP endpoint for Cursor, VS Code, and any MCP-compatible tool.
6 Anonymization Operators
Choose the right method: Replace, Redact, Hash (SHA-256/512), Encrypt (AES-256), Mask, or Keep. Apply different operators per entity type.
Entity Groups & Presets
Use predefined groups (UNIVERSAL, FINANCIAL, DACH, FRANCE, NORTH_AMERICA) or create personal presets for consistent anonymization across sessions.
48 Languages Supported
Detects PII in English, German, French, Spanish, Chinese, Japanese, Arabic, and 41 other languages. RTL support included.
Personal Encryption Keys
Load your own AES-128/192/256 keys for encrypt operator. Decrypt anytime with your key. Keys stored securely in your account.
Session Management
Tokenization mode with session IDs for reversible anonymization. List, manage, and delete sessions. 24h or 30-day persistence options.
Works With Your Favorite AI Tools
Native stdio for Claude Desktop, HTTP for everything else
Cursor IDE
AvailableProtect code secrets and sensitive data while coding with AI assistance via HTTP
Claude Desktop (Native)
AvailableNative stdio integration - fastest performance, zero network latency. Just add to claude_desktop_config.json
Continue (VS Code)
AvailableSecure AI coding assistant integration directly in Visual Studio Code via HTTP
Cline (VS Code)
AvailableAI-powered coding with automatic privacy protection via MCP HTTP
Any MCP Tool
AvailableStreamable HTTP transport works with any MCP-compatible application
Setup in 2 Minutes
Choose stdio for Claude Desktop or HTTP for other tools
Claude Desktop (Recommended):
- 1Install Node.js 18+ if not already installed
- 2Run: npx @anthropic-ai/mcp-server-anonym-legal
- 3Add to claude_desktop_config.json with your API key
- 4Restart Claude Desktop - 7 privacy tools available!
{
"mcpServers": {
"anonym-legal": {
"command": "npx",
"args": ["-y", "@anthropic-ai/mcp-server-anonym-legal"],
"env": {
"ANONYM_LEGAL_API_KEY": "YOUR_API_KEY"
}
}
}
}HTTP (Cursor, VS Code, etc.):
- 1Get your API key from Settings → API Access
- 2Add MCP server URL: https://anonym.legal/mcp
- 3Configure Authorization header with Bearer token
- 4No installation required - works instantly
{
"mcpServers": {
"anonym-legal": {
"url": "https://anonym.legal/mcp",
"headers": {
"Authorization": "Bearer YOUR_API_KEY"
}
}
}
}Use Cases
Software Development
Review code containing API keys, database credentials, and customer data without exposing secrets to AI providers.
Legal Firms
Anonymize client names, case numbers, and sensitive details when using AI to draft documents, ensuring attorney-client privilege.
Healthcare
Analyze patient notes and reports with AI assistance while keeping patient identities and medical records completely private.
Customer Support
Process customer inquiries with AI help while automatically protecting email addresses, phone numbers, and account details.
Finance
Use AI for report analysis while protecting account numbers, transaction details, and customer identities.
MCP Server vs Manual Redaction
| Aspect | Manual Redaction | anonym.legal MCP |
|---|---|---|
| Speed | Minutes per document | < 1 second |
| Accuracy | Human error-prone | 95%+ AI accuracy |
| Reversible | No - permanent | Yes - fully reversible |
| Maintenance | Constant vigilance | Automatic |
| Languages | One at a time | 48 simultaneously |
| Integration | Copy/paste workflow | Seamless in your tools |
| Cost | Staff time | From €0/month |
Frequently Asked Questions
Which integration should I use - stdio or HTTP?
For Claude Desktop, use stdio (npx command) for best performance. For Cursor, VS Code extensions, or custom apps, use HTTP (just add URL). Both support all 7 tools.
What operators are available?
6 operators: Replace (fake data), Redact (remove), Hash (SHA-256/512), Encrypt (AES-256 with your key), Mask (partial hide), and Keep (exclude from anonymization).
Can I use my own encryption keys?
Yes! Load personal AES keys (16/24/32 chars) from your account or enter them manually. Encrypt with your key, decrypt later with the same key. Keys never leave your control.
What are entity groups?
Predefined collections: UNIVERSAL (common PII), FINANCIAL (banking), DACH (German-speaking), FRANCE, NORTH_AMERICA, etc. Saves time configuring which entities to detect.
What's the difference between redact and tokenize modes?
Redact mode permanently removes PII. Tokenize mode replaces with reversible tokens and returns a session_id. Use detokenize_text with the session_id to restore original values.
How do sessions work?
Tokenization creates sessions (24h or 30-day persistence). Use list_sessions to see active sessions, delete_session to remove them. Sessions store the mapping between tokens and original values.
API Reference
7 tools available via MCP protocol. Free operations marked with *.
| Tool | Description | Cost |
|---|---|---|
| anonym_legal_analyze_text | Detect PII entities without modifying text | 2-10+ tokens |
| anonym_legal_anonymize_text | Anonymize text with configurable operators | 3-20+ tokens |
| anonym_legal_detokenize_text | Restore original PII from tokenized text | 1-5+ tokens |
| anonym_legal_get_balance | Check token balance and billing cycle | Free * |
| anonym_legal_estimate_cost | Estimate token cost before processing | Free * |
| anonym_legal_list_sessions | List active tokenization sessions | Free * |
| anonym_legal_delete_session | Delete a session and its token mappings | Free * |
Operator Reference
Configure per-entity anonymization using the operators parameter.
| Operator | Description | Parameters | Example Output |
|---|---|---|---|
| replace | Replace with custom value | new_value (string, max 100 chars) | <PERSON_1> |
| redact | Permanently remove | None | [REDACTED] |
| hash | One-way hash | hash_type: SHA256 | SHA512 | a3f2b8c1... |
| encrypt | AES-256-GCM encryption | key (16-32 chars) | ENC:base64... |
| mask | Partial character masking | chars_to_mask, masking_char, from_end | John **** |
| keep | Keep original value | None | John Smith |
Request Examples
Analyze Text
{
"text": "John Smith lives at 123 Main St, New York. SSN: 123-45-6789",
"language": "en",
"score_threshold": 0.5,
"entities": ["PERSON", "LOCATION", "US_SSN"]
}Anonymize with Per-Entity Operators
{
"text": "John Smith, SSN 123-45-6789, email john@example.com",
"language": "en",
"mode": "tokenize",
"operators": {
"PERSON": { "type": "replace" },
"US_SSN": { "type": "mask", "chars_to_mask": 5, "from_end": false },
"EMAIL_ADDRESS": { "type": "hash", "hash_type": "SHA256" }
}
}Response (Anonymize)
{
"anonymized_text": "<PERSON_1>, SSN ***-**-6789, email a3f2b8c1d4e5...",
"entities_found": 3,
"tokens_charged": 5,
"session_id": "sess_abc123",
"entity_types": { "PERSON": 1, "US_SSN": 1, "EMAIL_ADDRESS": 1 }
}Error Codes
| Code | Description | Resolution |
|---|---|---|
| 400 | Invalid request parameters | Check text length (max 100KB), operator config |
| 401 | Invalid or missing API key | Verify API key in Settings → API Access |
| 429 | Token balance exhausted | Check balance, upgrade plan, or wait for cycle reset |
| 500 | Server error | Retry after a few seconds, contact support if persistent |
From the Blog
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AI Coding Assistants Leak Production PII
Unit test fixtures with real customer records. Log files with production data for debugging. GitHub found 39 million secrets leaked in 2024.
Screenshot PII: Leaks in Internal Tools
Slack, Teams, Jira, and email regularly receive screenshots containing customer PII. This access-control violation bypasses every DLP tool.
Developer portal for MCP Server integration
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