mcpField
R
redact-pdf-mcp

redact-pdf-mcp

Local
github.com/dambuchsSecurity1Updated 2w ago

About redact-pdf-mcp

redact-pdf-mcp permanently removes personal information from PDFs and images for teams handling contracts, IDs, or statements. It combines OCR and entity detection with consistent placeholder anonymization, and removes the underlying text rather than merely covering it.

Key features

  1. 01Permanently remove sensitive document text
  2. 02OCR scanned documents and images
  3. 03Detect eight categories of personal data
  4. 04Replace entities with consistent tags and a mapping
  5. 05Set always-redact and never-redact terms

Use cases

  1. 01Remove personal data before sending a contract externally
  2. 02Anonymize a document before giving its text to an AI
  3. 03Process statements while keeping a company name visible
  4. 04Review detected masks before exporting

MCP support

As an MCP server, it provides tools for document redaction, job status, output downloads, demos, and name restoration. It supports local STDIO and stateless Streamable HTTP; remote requests pass the API key with each request.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"dambuchs-redact-pdf": {
"command": "npx",
"args": [
"-y",
"redact-pdf-mcp"
]
}
}
}
Run commandnpx -y redact-pdf-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmredact-pdf-mcp0.4.1

Tools

6

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
file_pathstringYesAbsolute path to the file on this machine. PDF, JPEG and PNG are all accepted — pass an image directly rather than converting it first. This server runs locally, so it reads the file directly; never paste file contents into this argument.
retentionenumNo"ephemeral" (default) deletes the original after processing and keeps the output only briefly. "studio" keeps the original and the detected masks so a human can review and adjust them at redact-pdf.ai before exporting — use it for high-stakes documents where a person should sign off.ephemeral | studio
output_pathstringNoWhere to write the redacted PDF on this machine. Defaults to the input path with a "-redacted" suffix, next to the original. Output is always a PDF, so an image input produces a .pdf file. The original file is never modified.
pii_categoriesarrayNoWhich entity types to redact. OMIT this to use the account defaults, which is usually what the user wants — do not pass an empty list, which would mean "redact nothing" and return an unredacted file. Valid values: Person, Email, PhoneNumber, Address, Organization, Date, IBAN, CreditCard.
idempotency_keystringNoOptional. By default a key is derived from the file bytes and settings, so repeating an identical call returns the SAME job instead of redacting (and billing) twice. Pass a distinct value here only when you deliberately want a second, separate redaction of the same document.
timeout_secondsintegerNoHow long to wait for completion, in seconds (default 300, max 900). On timeout the job keeps running server-side and can be resumed with get_job_status.
pii_excluded_termsarrayNoTerms that must NEVER be redacted even if detected as PII — typically your own company name, a public contact address, or the recipient the document is addressed to.
pii_included_termsarrayNoTerms that must ALWAYS be redacted even when the model would not treat them as PII — project codenames, internal references, a specific case number. Matched whole-word and case-insensitive. Wins over excluded terms on conflict.

Details

From the project README

Redact PDF MCP server

An MCP server that permanently redacts PII from PDFs. Give an agent a PDF, get back a PDF with the sensitive text removed from the file — not covered with a black rectangle that anyone can select, copy, or delete.

Most "redaction" MCP servers scrub PII out of prompt text. This one takes a real document and returns a real redacted document.

It also anonymizes. With mode: "pseudonymize" every person, company and address becomes a consistent tag such as [Person 1] instead of a black box, so the document stays readable (e.g. before pasting a contract into ChatGPT or Claude), and you get the tag → original table to restore the names.

npm npm downloads No AI training EU & Swiss hosted MCP registry License: MIT

redact-pdf-mcp MCP server

claude mcp add redact-pdf -- npx -y redact-pdf-mcp

Then ask: "Redact the personal data in ~/Documents/contract.pdf", or "Anonymize ~/Documents/contract.pdf with placeholders so I can paste it into an AI".


Your data

You are sending the document the agent is meant to protect, so this comes first.

  • Never used to train AI models — not ours, not Microsoft's, not anyone's. The Azure AI services used for OCR and PII detection run with content logging disabled, so document content is not retained or used for model improvement.
  • Processed in the EU and Switzerland on Microsoft Azure.
  • Encrypted with TLS 1.2+ in transit and AES-256 at rest.
  • The original is deleted after processing under the default ephemeral retention. The redacted output is kept for your account's retention window (14 days by default, configurable) and can be purged at any time with DELETE /v1/jobs/{job_id}.
  • Certified infrastructure. Azure holds SOC 2 Type II, ISO 27001, ISO 27017 and ISO 27018 certifications and is HIPAA-eligible under Microsoft's BAA. Redact PDF AI itself is not independently audited for these frameworks; it is built so legal, medical and finance teams can use it inside their own compliance posture.
  • The MCP server sends no telemetry of its own — see what the server does locally.

Details: redact-pdf.ai/security · privacy policy

Why not let the agent redact it itself?

An agent can find names in text. It cannot make a PDF safe on its own:

  • A black box is not a redaction. Drawing a rectangle over text leaves the text layer underneath; anyone can select, copy or extract it. This server rasterizes each page and drops the text layer and metadata, so there is nothing left to recover.
  • Scans have no text to search. Contracts, IDs and statements are often images. OCR runs first, in 100+ languages, then PII detection runs over what it read.
  • Detection is a model, not a regex. Names, addresses and organizations do not follow a pattern. The detector is purpose-built for PII, and your always-redact and never-redact lists cover the rest.

Examples

Prompts that work as-is once the server is installed:

  • "Redact the personal data in ~/Documents/lease.pdf before I send it to the agency."
  • "Redact names, emails and IBANs in every PDF in ~/Downloads/statements, keep our company name visible." — the agent passes pii_excluded_terms for the company name and fans out with redact_pdf.
  • "Here is a screenshot of a customer ticket. Remove the phone number and address, then give me a PDF I can attach." — images go in directly, no conversion.
  • "Try the redact-pdf demo on ~/Documents/contract.pdf so I can see what it does." — keyless, first page only.

Try it with no API key

The server ships a keyless tool, try_demo. Give it a file and it redacts the first page for real — no key, no account — and tells the agent what it found:

You: Use the redact-pdf server's try_demo tool on ~/Documents/contract.pdf.

Claude: Redacted the first page of contract.pdf (4 pages). Personal data removed on that page: Person, Email. Here is the redacted page (link valid 14 days). To redact all 4 pages, a free account gets the first document (up to 5 pages) done in full, no card.

Call it with no file and it runs a built-in synthetic sample instead, which is the zero-configuration connectivity check. Same thing from a terminal, no install:

curl https://www.redact-pdf.ai/v1/demo
curl -F [email protected] https://www.redact-pdf.ai/v1/demo/redact

What it does

  • Permanent, irreversible redaction. The underlying text is deleted, not masked. It cannot be recovered by copy-paste, text extraction, or "remove object" in a PDF editor.
  • PDFs and images. Pass a PDF, JPEG or PNG. Photos and screenshots do not need converting first; the output is a redacted PDF either way.
  • Scanned documents. OCR handles image-only PDFs and photos of documents.
  • 100+ languages for entity detection.
  • Eight entity types: Person, Email, PhoneNumber, Address, Organization, Date, IBAN, CreditCard — plus your own always-redact and never-redact term lists.
  • EU/Swiss processing, never used for AI training — see Your data.
  • Pseudonymize instead of black boxes. mode: "pseudonymize" replaces each entity with a consistent tag ([Person 1], [Org 1], [Address 1]...), identical on every page and for every variant of a name, so the document stays readable for a colleague or another AI. The text is still removed, not covered, and redact_pdf_and_wait also returns the tag → original table (CSV).
  • Human review when it matters. retention: "studio" keeps the detected masks so a person can check and adjust them before export.

Install

Claude Code
claude mcp add redact-pdf --env REDACT_PDF_API_KEY=your_key -- npx -y redact-pdf-mcp
Claude Desktop

claude_desktop_config.json:

{
  "mcpServers": {
    "redact-pdf": {
      "command": "npx",
      "args": ["-y", "redact-pdf-mcp"],
      "env": { "REDACT_PDF_API_KEY": "your_key" }
    }
  }
}
Cursor

.cursor/mcp.json:

{
  "mcpServers": {
    "redact-pdf": {
      "command": "npx",
      "args": ["-y", "redact-pdf-mcp"],
      "env": { "REDACT_PDF_API_KEY": "your_key" }
    }
  }
}
VS Code
code --add-mcp '{"name":"redact-pdf","command":"npx","args":["-y","redact-pdf-mcp"],"env":{"REDACT_PDF_API_KEY":"your_key"}}'

Get an API key at redact-pdf.ai/sign-up. A free account gets its first document (up to 5 pages) redacted in full, no card. Without a key, try_demo still works; everything else will tell the agent to ask you for one.

A client that can't pass the key in the environment (Cowork drops a plugin MCP server whose config references a plugin setting, so the Claude plugin passes none) can save it instead: give the agent the key and it calls set_api_key, which checks the key against the API and, when the client supports MCP elicitation, asks you to approve the account (email and the key's last four characters). A confirmed key is written to ~/.config/redact-pdf-mcp/key (or $XDG_CONFIG_HOME/redact-pdf-mcp/key), readable by your user only, and is never replaced without the same confirmation. A client without elicitation gets the key for that session only, in memory, never over a key that still works, and every tool result names the account. That keeps a key planted in a processed document from silently redirecting your files. The tool never returns the key. You can also write the file yourself once (see the plugin README for the one-line command). REDACT_PDF_API_KEY takes priority when it is set; an empty value, or an unsubstituted placeholder such as ${user_config.api_key}, counts as unset.

Tools

ToolWhat it does
redact_pdf_and_waitStart here. Upload, redact, wait, return the finished PDF. One call.
redact_pdfStart a job and return immediately, for redacting several documents in parallel.
get_job_statusPoll a job: uploaded → analyzing → redacting → redacted | error.
download_redactedFetch the redacted output for one document.
download_correspondenceFetch the tag → original table of a pseudonymized document (mode: "pseudonymize").
try_demoKeyless. With a file: redact its first page for real. Without: run the built-in sample.
restore_namesLocal only. Put the real names back into a .md, .txt or .docx the agent wrote from the pseudonymized text. Returns the output path and counts, never a name.
get_account_statusCheck the API key is valid and see the account, before a big batch.
set_api_keyLocal only. Check a key the user gives in the conversation and save it user-only on this machine, for clients that can't pass REDACT_PDF_API_KEY. Never returns the key.

Redaction rules, on either redact tool:

ArgumentEffect
pii_categoriesRestrict to specific entity types. Omit for account defaults.
pii_included_termsAlways redact these, even if not detected as PII (codenames, case numbers).
pii_excluded_termsNever redact these, even if detected (your own company name).
retentionephemeral (default) deletes the original after processing. studio keeps masks for human review.
moderedact (default) draws black boxes. pseudonymize draws consistent tags such as [Person 1] and returns the correspondence table (stdio: written next to the PDF as *-correspondence.csv; remote: inline as correspondence_csv) plus the document as text with the tags in place (document_text, or document_text_path / document_text_url past 32 KB). Also accepted by try_demo.

Anonymize → let the AI work → put the names back

The local server closes the loop without the model ever seeing a name:

  1. redact_pdf_and_wait with mode: "pseudonymize" returns the redacted PDF, the correspondence table on disk, and document_text: the document as text, every name replaced by its tag. The agent works from that text.
  2. The agent writes its answer (summary, memo, letter) to a .md, .txt or .docx file, keeping the tags as written.
  3. restore_names with that file and the correspondence_path writes <name>-restored.<ext> with the real names, and returns only the path and counts.

The agent must not open the original document first, nor the correspondence CSV or the restored file afterwards: any of those reads puts the personal data back into the conversation. The server instructions and tool descriptions say so explicitly.

Remote server

The package also ships a streamable-HTTP server for hosted use, where the API key travels per request instead of in the environment:

npx redact-pdf-mcp-http     # listens on :8080/mcp
POST /mcp
X-API-Key: your_key          (or: Authorization: Bearer your_key)

It is stateless — no sessions, no stored keys, nothing kept between requests — so each request gets its own short-lived server instance and one caller's key can never leak into another's tool call.

The handshake, tools/list, and try_demo work without a key, so a client can connect and verify the server before anyone signs up; every other tool returns 401 with a WWW-Authenticate challenge.

Documents are supplied as file_base64 (the remote server has no access to your filesystem).

Fetching a document by URL is off by default on the remote server. The address check is real — URLs resolving to loopback, private, or link-local addresses are refused, and every redirect hop is re-checked — but the socket resolves the hostname a second time after that check, so a DNS-rebinding attacker with a short TTL can still have the server validate one address and connect to another. Closing that requires pinning the connection to the validated address, which is not implemented yet, so an internet-reachable server does not offer the surface at all.

Set REDACT_PDF_ENABLE_URL_INPUT=1 to accept file_url, and only where you have your own egress controls (a network policy or allowlisting proxy) in front of the server. REDACT_PDF_ALLOW_PRIVATE_URLS=1 additionally permits private addresses, for a self-hosted instance fetching from internal storage.

stdio mode is unaffected: it runs on your own machine, where fetching a URL carries no privilege you do not already have.

VariableDefaultPurpose
REDACT_PDF_API_KEY—API key (stdio mode only; remote takes it per request). Empty or ${...} counts as unset, and the key saved by set_api_key is used instead.
REDACT_PDF_BASE_URLhttps://www.redact-pdf.aiPoint at a different API host.
PORT8080HTTP server port.
REDACT_PDF_MCP_PATH/mcpHTTP endpoint path.
REDACT_PDF_ENABLE_URL_INPUTunsetAccept file_url on the remote server. Off by default — see the DNS-rebinding note above.
REDACT_PDF_ALLOW_PRIVATE_URLSunsetSelf-hosted only: permit file_url to reach private addresses. Never set this on a publicly reachable server.

What the server does locally

  • No telemetry. The server makes exactly the API calls its tools describe, and nothing else. No analytics, no error reporting, no phone-home.
  • Stateless. No database, no cache, no disk writes except the files you asked for, at the paths you asked for, and the key file when you call set_api_key.
  • Your originals stay yours. In stdio mode the input file is read and never modified. Under the default ephemeral retention the API deletes the original after processing.
  • Idempotent by default. The idempotency key is derived from the file bytes and the redaction settings, so an agent that retries the same call gets the same job back instead of redacting — and billing — twice. That cache lasts 24 hours; pass an explicit idempotency_key when you genuinely want a second, separate redaction of the same file.
  • Never overwrites. In stdio mode the redacted PDF is written atomically and the tool refuses to clobber an existing file.

Privacy Policy

The full policy is at redact-pdf.ai/privacy. It covers the website, the app and the API this server calls. In short:

  • What is collected. The documents you send, their processing metadata (status, page count, selected PII categories) and the redaction masks; your account identifier and email if you use an API key; billing data if you pay. This MCP server itself collects nothing and sends no telemetry.
  • How it is used. To run the redaction you asked for, and to operate, secure and bill your account. Documents are processed for OCR and PII detection only and are never used to train AI models.
  • Where it is stored. Microsoft Azure in the EU and Switzerland, encrypted in transit (TLS 1.2+) and at rest (AES-256).
  • Who it is shared with. Documents go only to Microsoft Azure (storage, OCR and PII detection). Account and billing data go to Clerk and Stripe. Internal operational alerts, which can include a file name, go to the team's Slack. The policy lists every subprocessor.
  • How long it is kept. Under the default ephemeral retention the original is deleted after processing; the redacted output follows your account's retention window (14 days by default) and can be deleted at any time. Files sent to the keyless try_demo are deleted after the first page is redacted; that page is kept 14 days.
  • Contact. [email protected] for privacy requests and questions.

Limits

  • 50 MB per PDF, 10 MB per image, 100 files per job.
  • PDF, JPEG and PNG in; always a PDF out. Convert other formats (DOCX, TIFF, HEIC) to PDF first.
  • On the remote server, base64 inflates a document by about a third, so prefer file_url for anything large.
  • Passing an empty pii_categories list is rejected: to the API an empty list means "redact nothing", which would return an untouched file reported as redacted. Omit the argument to use your account defaults.
  • Billed per page against your plan quota and credit packs, after the free first document. A quota_exceeded error means top up — the tools tell the agent not to retry it.

Development

npm install
npm run build
npm test                 # offline unit + tool tests
npm run test:integration # hits the live keyless demo endpoint; no key needed

Links

Support questions about redaction quality, billing, or your account go to [email protected] — GitHub issues here are for the MCP server itself.

MIT licensed.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.