Mirobody
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
Description from the maker (original English)
Keep patient identifiers out of AI agent context — a local privacy boundary for healthcare agents.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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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-mcpPaste 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.
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.
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account nickjlamb, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (2.1.1) reached the registry 32 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: Mirobody, FHIR MCP Server, Google Health MCP
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
Lab results to LOINC codes and UCUM units, symptoms and diagnoses to ICPC-3. Offline, no API key.
MCP server providing seamless access to FHIR APIs for AI tools and healthcare applications
Privacy-first unofficial Google Health API v4 MCP server for health, sleep, activity, HR agents
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.
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.
| Surface | Folder | Get 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 library | npm-package/ | npm i @pharmatools/redacta (npm) |
| Python library | python-package/ | pip install redacta (PyPI) |
| Command-line tool | cli-package/ | npx redacta-cli (npm) |
| Self-hosted HTTP service + Kubernetes | gateway-service/ | docker build — see gateway-service/README.md |
| FigJam plugin | figjam-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.
Two layers:
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.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.
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.
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.
| Path | What it is |
|---|---|
SKILL.md | The skill — instructions plus metadata |
reference.md | Pattern specs, the Modulus-11 algorithm, NI prefix rules, the date-of-birth vs clinical-date rule, token vocabulary, limitations |
scripts/redact_structured.py | The deterministic pattern layer |
scripts/reinstate.py | The re-identification layer (restore originals from a token map) |
scripts/test_redact_structured.py | Tests for the pattern layer |
scripts/test_reinstate.py | Tests for the re-identification layer |
evaluations.json | Example evaluation scenarios |
Run the tests:
python3 scripts/test_redact_structured.py
python3 scripts/test_reinstate.py
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.
MIT-0 (MIT No Attribution). Built by PharmaTools.AI.