Auto-detects and obfuscates PII (IPs, emails, API keys, names) so Claude never sees real client data
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
An MCP server (and Claude Code plugin) that automatically detects and obfuscates sensitive data before Claude ever sees it. Uses regex pattern matching and AI-powered Named Entity Recognition (NER) to catch IPs, hostnames, emails, API keys, person names, organization names, locations, private keys, connection strings, and more.
Built for penetration testers who need Claude's analysis capabilities without exposing client data to a third party.
The server maintains a bidirectional mapping table. Every sensitive value gets a consistent, deterministic fake replacement that persists across the entire session:
| Real Value | Obfuscated As | Detection |
|---|---|---|
10.50.1.100 | 198.51.100.1 | regex |
api.clientcorp.com | target-1.example.com | regex |
john.smith@clientcorp.com | user-1@example.com | regex |
AKIA3EXAMPLE... | [REDACTED_AWS_KEY_1] | regex |
James Wilson | Person_A Person_B | NER |
Microsoft | Org_A | NER |
Seattle | City_A | NER |
postgres://admin:pw@host/db | [REDACTED_CONN_STRING_1] | regex |
-----BEGIN RSA PRIVATE KEY... | [REDACTED_PRIVATE_KEY_1] | regex |
Same real value always maps to the same fake value. obfuscate(text) -> deobfuscate(result) === text is guaranteed.
That's it. Claude Code will launch the server via npx on each session. The NER model (~110MB) downloads automatically on first use and is cached for subsequent runs.
To enable audit logging:
The plugin mode adds hooks (automatic leak detection on raw tool output) and skills (/redact:status, /redact:add, /redact:export) on top of the MCP server.
Add to your Claude Code MCP config (~/.claude/mcp.json or project .mcp.json):
| Variable | Default | Description |
|---|---|---|
REDACT_DATA_DIR | ./data | Directory for mapping state and audit logs |
REDACT_AUDIT_LOG | false | Set to true to enable JSONL audit logging |
Zero configuration required. Detected automatically:
| Category | Types |
|---|---|
| Network | IPv4 (private + public), IPv6, hostnames with valid TLDs, MAC addresses |
| Identity | Emails, person names (JSON context), phone numbers (US + international), SSNs |
| Secrets | AWS access keys, JWTs, Bearer tokens, API keys (context-aware), generic secrets (password=, secret=), private keys (PEM format), connection strings (postgres/mysql/redis/mongodb/amqp/mssql URIs) |
| Financial | Credit card numbers (Luhn-validated) |
| Physical | Street addresses (123 Main Street, 456 Oak Ave, etc.) |
When @huggingface/transformers is installed (included by default), the server loads Xenova/bert-base-NER (~110MB ONNX model, downloaded on first use) to detect:
| Entity Type | Example | Obfuscated As |
|---|---|---|
| Person names | James Wilson | Person_A Person_B |
| Organizations | Microsoft, Acme Corp | Org_A, Org_B |
| Locations | Seattle, New York | City_A, City_B |
NER catches entities that regex misses โ names and organizations outside of JSON context, arbitrary location names, etc. Regex results always take priority when both detect the same span (regex is more precise for structured patterns).
Graceful fallback: If the model fails to load or the package is missing, the server continues in regex-only mode with no errors.
These values are never obfuscated:
localhost, 127.0.0.1, ::1, 0.0.0.0192.0.2.x (TEST-NET-1), 198.51.100.x (TEST-NET-2), 203.0.113.x (TEST-NET-3), 2001:db8:: (IPv6 docs)example.com, example.org, example.netgithub.com, npmjs.com, nodejs.org, googleapis.com, etc.burpcollaborator.net, oastify.comconsole.log, process.env, package.json, webpack.config, jest.config, tailwind.config, and 30+ other common false positivesFF:FF:FF:FF:FF:FF, 00:00:00:00:00:00The server registers 8 tools via MCP:
| Tool | Description |
|---|---|
redact_obfuscate | Auto-detect and replace all PII in text (regex + NER) |
redact_deobfuscate | Reverse all replacements back to real values |
redact_proxy_request | HTTP proxy โ deobfuscates request, makes real call, obfuscates response |
redact_read_file | Read a file and return obfuscated content |
redact_add_mapping | Manually add a real-to-fake mapping |
redact_remove_mapping | Remove a mapping (fix false positives) |
redact_show_mappings | Show all current mappings grouped by type |
redact_audit_log | View recent audit log entries (requires REDACT_AUDIT_LOG=true) |
redact_proxy_request โ The Key ToolFor pentest workflows, this is the critical tool. Claude calls it instead of curl/fetch:
Claude never sees the real response data. All deobfuscation and obfuscation steps are audit-logged.
redact_audit_log โ Compliance Audit TrailWhen REDACT_AUDIT_LOG=true, every obfuscation and deobfuscation operation is logged to ${REDACT_DATA_DIR}/audit.jsonl. Each entry records:
obfuscate, deobfuscate, proxy_request, file_read)regex or ner)This provides a complete audit trail: what went in, what was modified, and what came out.
View entries via the redact_audit_log tool or read audit.jsonl directly:
Security note: The audit log contains real sensitive data by design (that's its purpose โ proving what was redacted). Protect it accordingly.
| Command | Description |
|---|---|
/redact:status | Show current redaction mappings grouped by type |
/redact:add <real> <fake> | Manually add a mapping (e.g., /redact:add clientcorp.com target.example.com) |
/redact:export <file> [output] | Deobfuscate a file for client delivery (defaults to ~/Desktop/) |
The plugin uses two hooks (automatic, no user interaction):
Bash/Read/Grep/WebFetch and the output contains known sensitive values (leak detection)Xenova/bert-base-NER runs in parallel (async), catches person/org/location entitiesexample.com for domains, 555 prefix for phones, locally-administered range for MACs${REDACT_DATA_DIR}/mappings.json with debounced writes (500ms)10.50.1.100 before 10.50.1.10)deobfuscate(obfuscate(text)) === text for all inputs. The bidirectional mapping table ensures lossless restoration.
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