Server data from the Official MCP Registry
Permanently redact PII from PDFs and scans. EU/Swiss-hosted, never used to train AI models.
About
Permanently redact PII from PDFs and scans. EU/Swiss-hosted, never used to train AI models.
Security Report
The server is a legitimate PDF redaction client that uploads documents to the disclosed Redact PDF AI API, with the API key read from an environment variable and no hardcoded secrets found. The main concerns are that the stdio tool accepts any model-supplied file path for upload and any output path for writing, which a prompt-injected agent could abuse, and that URL fetching on the hosted server is an opt-in SSRF surface with a acknowledged DNS-rebinding gap. Several files (client.ts, inputs.ts, observability.ts, descriptions.ts) and the end of server.ts were not provided, so their analysis is incomplete. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.
3 files analyzed · 8 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-dambuchs-redact-pdf-mcp": {
"args": [
"-y",
"redact-pdf-mcp"
],
"command": "npx"
}
}
}Documentation
View on GitHubFrom the project's GitHub 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.
claude mcp add redact-pdf -- npx -y redact-pdf-mcp
Then ask: "Redact the personal data in ~/Documents/contract.pdf".
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
ephemeralretention. The redacted output is kept for your account's retention window (14 days by default, configurable) and can be purged at any time withDELETE /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_termsfor the company name and fans out withredact_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 file=@contract.pdf 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, andredact_pdf_and_waitalso 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.
Tools
| Tool | What it does |
|---|---|
redact_pdf_and_wait | Start here. Upload, redact, wait, return the finished PDF. One call. |
redact_pdf | Start a job and return immediately, for redacting several documents in parallel. |
get_job_status | Poll a job: uploaded → analyzing → redacting → redacted | error. |
download_redacted | Fetch the redacted output for one document. |
download_correspondence | Fetch the tag → original table of a pseudonymized document (mode: "pseudonymize"). |
try_demo | Keyless. With a file: redact its first page for real. Without: run the built-in sample. |
get_account_status | Check the API key is valid and see the account, before a big batch. |
Redaction rules, on either redact tool:
| Argument | Effect |
|---|---|
pii_categories | Restrict to specific entity types. Omit for account defaults. |
pii_included_terms | Always redact these, even if not detected as PII (codenames, case numbers). |
pii_excluded_terms | Never redact these, even if detected (your own company name). |
retention | ephemeral (default) deletes the original after processing. studio keeps masks for human review. |
mode | redact (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). Also accepted by try_demo. |
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.
| Variable | Default | Purpose |
|---|---|---|
REDACT_PDF_API_KEY | — | API key (stdio mode only; remote takes it per request). |
REDACT_PDF_BASE_URL | https://www.redact-pdf.ai | Point at a different API host. |
PORT | 8080 | HTTP server port. |
REDACT_PDF_MCP_PATH | /mcp | HTTP endpoint path. |
REDACT_PDF_ENABLE_URL_INPUT | unset | Accept file_url on the remote server. Off by default — see the DNS-rebinding note above. |
REDACT_PDF_ALLOW_PRIVATE_URLS | unset | Self-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 redacted PDF you asked for, at the path you asked for.
- Your originals stay yours. In stdio mode the input file is read and never modified.
Under the default
ephemeralretention 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_keywhen 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
ephemeralretention 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 keylesstry_demoare deleted after the first page is redacted; that page is kept 14 days. - Contact. info@redact-pdf.ai 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_urlfor anything large. - Passing an empty
pii_categorieslist 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_exceedederror 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
- API docs: redact-pdf.ai/developers
- Security and data handling: redact-pdf.ai/security
- OpenAPI spec: redact-pdf.ai/openapi.yaml
- LLM index: redact-pdf.ai/llms.txt
Support questions about redaction quality, billing, or your account go to info@redact-pdf.ai — GitHub issues here are for the MCP server itself.
MIT licensed.
Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
FinAgent
Freeby mcp-marketplace · Finance
Free stock data and market news for any MCP-compatible AI assistant.
