Skillget

pii-mcp

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
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Bu listing icin henuz AI raporu yok.

SUMMARY

Scrub PII before it reaches AI

README.md

pii-mcp

Pattern-based PII scrubbing for MCP servers (regex + checksums). Masks emails,
IBANs, cards, BICs, MACs, IMEIs, IPs, coordinates, BSNs, US SSNs, German tax
IDs, Dutch BTW-ids, Dutch passport/ID numbers, phones, Dutch postcodes, and
Dutch license plates in tool results. Not NER for person names or full street
addresses. Language packs: en, nl, and opt-in de.

PyPI
npm
CI
License: MIT

Example

from pii_mcp import scrub_text

scrub_text(
    "Contact [email protected]. IBAN NL91 ABNA 0417 1643 00. card 4111111111111111"
)
# Contact [EMAIL]. IBAN [IBAN]. card [CREDIT_CARD]

Install

pip install "pii-mcp[fastmcp]"   # FastMCP >= 3.0.0
# or
pip install pii-mcp              # core; platform wheels include Rust acceleration
# or
npm install pii-mcp

FastMCP

from fastmcp import FastMCP
from pii_mcp.fastmcp import PiiScrubMiddleware

mcp = FastMCP("MyServer")
mcp.add_middleware(PiiScrubMiddleware())  # languages=["en", "nl"] by default
# mcp.add_middleware(PiiScrubMiddleware(languages=["en", "nl", "de"]))

Results only. On scrub failure or oversize, the result is withheld, never
forwarded unmasked.

Core

from pii_mcp import scrub_text, scrub_payload

scrub_text("mail [email protected]")
scrub_payload({"email": "[email protected]"}, languages=["en"])

Scope

Aligned with
AP: wat zijn persoonsgegevens
where pattern/checksum detection can reach them. Names, free-text health data
(allergies), photos/audio/video, unstructured klant-/personeelsnummers, and
full street addresses need NER or media handling and stay out of scope.

AP coverage (pattern layer)

AP example / category Detector Notes
e-mail / contact email, phone
IP-adres ip Indirect identifier
Locatiegegevens location Decimal lat/lon
Financiële gegevens iban, credit_card, bic, vat_id
BSN / nationaal ID bsn, passport Passport/NIK format (nl pack)
Online / device IDs mac, imei IMEI: grouped forms + Luhn
Adres (structured) address NL postcode only
Kenteken license_plate nl pack
Naam, pasfoto, allergieën, koopgedrag, camera NER / media

Packages

Runtime Path Install
Python src/pii_mcp pip install pii-mcp
TypeScript typescript/ npm install pii-mcp
Rust core crates/pii-core shared by both (PyO3 / N-API)

Rust core (Python)

Published platform wheels ship pii_mcp._native (PyO3 over pii-core). Pip
prefers those on supported OS/arch; elsewhere (or with --no-binary) you get
the pure-Python hatchling wheel/sdist and the same scrub API.

When _native is importable, scrub_text / scrub_payload use it. Force the
Python path with PII_MCP_BACKEND=python; require native with
PII_MCP_BACKEND=native.

Local development from a clone (optional):

pip install -e ".[native]"
maturin develop --release --manifest-path crates/pii-mcp-native/Cargo.toml

Performance (Python vs Rust release)

Medians from scripts/bench_backends.py on macOS arm64 / CPython 3.14.7
(release native build; debug builds are not representative):

Case Python Rust Speedup
Short clean text 0.234 ms 0.023 ms 10.2x
Short mixed PII 0.058 ms 0.007 ms 8.9x
100 KiB sparse PII 20.4 ms 2.0 ms 10.2x
1 MiB sparse PII 203 ms 20.4 ms 10.0x
Nested JSON payload 12.4 ms 1.2 ms 10.3x
1k x tiny scrub_text 54.3 ms 6.8 ms 8.0x 
python scripts/bench_backends.py

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