Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@PII & Secret Redactor redact PII and secrets from this text before I send it to the model"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Redact PII and secrets from text before it reaches an LLM. Checksum-verified cards, IBANs and routing numbers, SSN range rules, API keys, and reversible placeholders you can restore after the model responds.
Strip personal data and credentials out of text before it goes to a model, a log or a ticket, then put the originals back in the answer.
Related MCP server: privacyscrubber-mcp
Verified, not just matched: credit cards (Luhn, brand identified), IBANs (mod-97), US routing numbers (ABA checksum), SSNs (invalid ranges rejected). Order numbers and random digit strings are left alone.
Contact and identity: emails, phone numbers (US and international), labelled dates of birth, US street addresses, IPv4 and IPv6.
Secrets: Anthropic, OpenAI, AWS, GitHub, Stripe, Slack and Google keys, JWTs, private keys, database URLs with credentials.
detect_pii: findings with type, position and a masked preview. Never echoes full values.
redact_text: placeholder (stable tokens like <EMAIL_1>, same value gives the same token), mask, salted hash, or remove.
restore_text: swap placeholders back to the originals in the model's response, using the mapping you keep.
list_detectors: exactly what is and is not covered.
Pattern and checksum based. It does not detect personal names or free-form addresses in other formats, so it reduces exposure but is not a compliance guarantee for HIPAA, GDPR or PCI. Input is processed in memory and never stored or logged.
Hosted on MCPize with a free tier (10 calls a day). Remote MCP endpoint (streamable HTTP, API key from MCPize):
https://pii-redactor-mcp.mcpize.run/mcpOr run it yourself:
npm install
node server.js # listens on :8080, MCP at /mcpMIT licensed.
This server cannot be deployed
Detect and redact PII and secrets (API keys, tokens) in text, HTML or PDF before it reaches an LLM.
Detects and redacts PII (emails, phones, SSNs, names, addresses) from text. $0.02/call via x402.
Find and redact leaked secrets, wallet keys and PII before an AI agent sends text.
Redact personal data from text before your agent sends it to a model or stores it: names, contact details, ID numbers, financial and health identifiers, card numbers, plus any exact terms you add. Nothing stored, no third-party AI. Tools - redact_text: returns the redacted text and a count of what was removed, by type. Never the removed values. Options: restrict to particular data types, add exact terms to remove, choose the replacement style (a type label such as <PERSON> by default) and set a confidence threshold. - list_entity_types: lists the detectable data types. Free. Data handling - Nothing you send is stored. Text is processed in memory and discarded when the call returns. - No third-party AI. Text is never sent to OpenAI, Anthropic, Google or any other outside model. - Tool arguments are never logged. Only counts are kept: credits used, a timestamp and how many of each type were found. PDFs, including scanned pages, are handled by the REST API with the same key and credits. They aren't offered as an MCP tool because a file doesn't fit in a tool call. Pricing: 1 credit per call plus 1 per 1,000 characters. 10 free credits on sign-up, no card. Credit packs from $5; purchased credits never expire. Failed calls and repeated identical calls are free. Setup and API key: https://eleyed.com/mcp?utm_source=glama&utm_medium=directory&utm_campaign=listing
