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PopNx MCPMCP servers for people who use AI · explained in plain words

Redacta MCP

by nickjlambversion 2.1.1i★ –iRuns on your computer
Registry nameio.github.nickjlamb/redacta-mcp

Install

Overview

Description from the maker (original English)

Keep patient identifiers out of AI agent context — a local privacy boundary for healthcare agents.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Clinics & health

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "redacta": {
      "command": "npx",
      "args": [
        "-y",
        "redacta-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add redacta -- npx -y redacta-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "redacta": {
      "command": "npx",
      "args": [
        "-y",
        "redacta-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "redacta": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "redacta-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account nickjlamb, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Clinics & healthi

  • More stars than 0% of the other 871 servers in this category
  • Published to the registry more recently than 50% of the other 871 servers in this category
  • Basic checks equal to or better than 100% of the other 871 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Redacta MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (2.1.1) reached the registry 32 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Mirobody, FHIR MCP Server, Google Health MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Mirobody

by thetahealth

Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.

Runs on your computer★ 1,408Apache-2.0Updated 6 days ago
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MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications

Runs on your computer★ 137Apache-2.0Updated 9 days ago
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Google Health MCP

by davidmosiah

Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents

Runs on your computer★ 79MITUpdated 4 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Redacta

Pseudonymise medical and clinical documents before they're processed by AI or shared. Redacta replaces patient identifiers with labelled tokens — [PATIENT_NAME_1], [NHS_NUMBER_1], [DATE_OF_BIRTH_1], … — while leaving the clinical meaning intact, and returns a redaction report alongside the cleaned text.

It started as an Agent Skill and is now one engine shipped across eight surfaces — an iOS app, agent skill, MCP server, a self-hosted HTTP service with a Kubernetes deployment, two libraries, a CLI, and a FigJam whiteboard plugin.

Running this in production? Redacta offers a small number of fixed-price

design-partner integrations for teams shipping AI agents on clinical or patient

data — deployment in your environment, one real workflow integrated, and a

data-flow document written for your DPO.

Details →

One engine, many surfaces

SurfaceFolderGet it
iOS app — iPhone (app, Share Extension, widget)ios-app/Build with Xcode — see ios-app/README.md
Agent skill (Claude Code / apps / API)SKILL.md, scripts/openclaw skills install redacta (ClawHub)
MCP server (Claude Desktop, Cursor, …)mcp-server/npx -y redacta-mcp (npm · MCP Registry · Anthropic MCP Directory)
TypeScript librarynpm-package/npm i @pharmatools/redacta (npm)
Python librarypython-package/pip install redacta (PyPI)
Command-line toolcli-package/npx redacta-cli (npm)
Self-hosted HTTP service + Kubernetesgateway-service/docker build — see gateway-service/README.md
FigJam pluginfigjam-plugin/Figma Community

The detection logic lives in one place — the TypeScript engine (@pharmatools/redacta, in npm-package/), which the MCP server and the FigJam plugin consume, and which the iOS app runs on-device via JavaScriptCore. The Python package mirrors it for pip users; the agent skill adds LLM reasoning for free-text names on top of the deterministic patterns.

How it works

Two layers:

  • Patterns (deterministic). A bundled script (scripts/redact_structured.py, Python standard library only, no network) matches fixed-format identifiers: NHS numbers (Modulus-11 validated), UK National Insurance numbers, dates of birth, UK postcodes, phone numbers, emails, and hospital/MRN numbers. US SSN and ZIP codes are also handled.
  • Reasoning (judgement). The skill then has the agent handle what patterns can't: patient names (told apart from the clinicians treating them), relatives and carers, postal addresses, and identifying ages.
  • Self-check. A final pass re-reads the output for any identifier that slipped through before the report is written.

It also works in reverse. Re-identification (scripts/reinstate.py) takes the token map from an earlier redaction and restores the original values — so you can redact a document, run it through another AI tool, and put the real details back locally. Redact → process → re-identify is a complete round trip, and identifiers only ever exist on your machine.

Safe Harbor mode. Ask for HIPAA Safe Harbor (or "US de-identification") and Redacta applies a stricter pass: *all* dates (not just the date of birth), all specific ages, and the remaining HIPAA identifiers — fax, certificate/licence, device serial, VIN, and health-plan beneficiary numbers.

Self-hosting on Kubernetes

Organisations that can't let identifiable text leave their environment can run Redacta inside their own infrastructure: a small HTTP service (gateway-service/) deployable into an existing Kubernetes cluster with plain YAML — two stateless replicas behind a Service for redact/reinstate, an optional single-replica session boundary for the protect → release loop, health probes, resource limits, restrictive security defaults, and no-PHI logging. Text is pseudonymised before it reaches any external AI service, and the processing boundary stays under your control. Walkthrough (local kind cluster included): gateway-service/k8s/README.md · concepts: docs/KUBERNETES.md. Deploying somewhere a DPO will ask questions? There's a one-page security & data-protection summary at pharmatools.ai/redacta-security.

Install

Claude Code

git clone https://github.com/nickjlamb/redacta ~/.claude/skills/redacta

Then invoke it with /redacta, or let it trigger automatically when you ask to redact or de-identify clinical text.

Claude apps / API

Zip the repository folder and upload it as a skill.

Contents

PathWhat it is
SKILL.mdThe skill — instructions plus metadata
reference.mdPattern specs, the Modulus-11 algorithm, NI prefix rules, the date-of-birth vs clinical-date rule, token vocabulary, limitations
scripts/redact_structured.pyThe deterministic pattern layer
scripts/reinstate.pyThe re-identification layer (restore originals from a token map)
scripts/test_redact_structured.pyTests for the pattern layer
scripts/test_reinstate.pyTests for the re-identification layer
evaluations.jsonExample evaluation scenarios

Run the tests:

python3 scripts/test_redact_structured.py

python3 scripts/test_reinstate.py

A note on limits

Redacta is a strong first line of defence, not a guarantee. It won't catch every possible identifier and isn't a substitute for formal data-protection processes. Always review the redaction report before sharing text.

License

MIT-0 (MIT No Attribution). Built by PharmaTools.AI.

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