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)
Educational dermatology knowledge and mole tracking. No credentials needed. Not a medical device.
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.
MOLECARE_API_URL, MOLECARE_API_KEY, LOG_LEVELValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
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": {
"molecare": {
"command": "npx",
"args": [
"-y",
"molecare-mcp"
],
"env": {
"MOLECARE_API_URL": "your-value",
"MOLECARE_API_KEY": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add molecare --env MOLECARE_API_URL=your-value --env MOLECARE_API_KEY=your-value --env LOG_LEVEL=your-value -- npx -y molecare-mcpFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"molecare": {
"command": "npx",
"args": [
"-y",
"molecare-mcp"
],
"env": {
"MOLECARE_API_URL": "your-value",
"MOLECARE_API_KEY": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}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": {
"molecare": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"molecare-mcp"
],
"env": {
"MOLECARE_API_URL": "your-value",
"MOLECARE_API_KEY": "your-value",
"LOG_LEVEL": "your-value"
}
}
}
}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.
MOLECARE_API_URL envLOG_LEVEL envThese 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 MoleCare, 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.
You need to fill in: MOLECARE_API_KEY
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 (1.2.0) reached the registry 28 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.
Model Context Protocol (MCP) server that gives Claude and other MCP clients access to:
molecare-ops-mcp (mock-first)Not a medical device. Outputs are educational and operational aids only. Do not use for diagnosis or treatment decisions.
Product site: molecare.co.uk · App: iOS · Android
One command, no API key, no database. Real output from the published package.
MoleCare helps people track moles over time and prepare for clinician visits. This MCP server lets developers and operators:
No credentials, no database, no cloud account. Add this to your MCP client config and restart it:
{
"mcpServers": { "molecare": { "command": "npx", "args": ["-y", "molecare-mcp"] } } }
For Claude Desktop on macOS that file is ~/Library/Application Support/Claude/claude_desktop_config.json.
The dermatology knowledge tools work immediately — they read from a knowledge base bundled in the package. Everything that talks to a backend returns clearly-labelled mock data until you configure it, so you can explore the whole tool surface before deciding whether you want any of it.
To try it without a client at all:
npx -y molecare-mcp
It starts and waits on stdio. No output means it is working.
This repository is also a Claude Code plugin: the same server, plus a skill that tells Claude when to use it and to never diagnose.
claude plugin marketplace add MoleCare/molecare-mcp
claude plugin install molecare@molecare
Then ask things like "what does the E in ABCDE mean?" or "help me prepare for a dermatology appointment". The plugin runs npx -y molecare-mcp with no keys, so the account tools return example data marked "dataSource": "mock".
Only needed if you are running a MoleCare-compatible API:
{
"mcpServers": { "molecare": { "command": "npx", "args": ["-y", "molecare-mcp"], "env": { "MOLECARE_API_URL": "http://localhost:8080/api", "MOLECARE_API_KEY": "your-local-api-key" } } } }
Use localhost (or your own deployment). Do not paste production keys into config files that sync to cloud drives.
Every setting is optional. The public server falls back to mock product data without API credentials, and its knowledge tools continue to work offline. For the operations server, use NODE_ENV=development (the .env.example default) to keep integrations in mock mode.
| Variable | Purpose | Example |
|---|---|---|
MOLECARE_API_URL | MoleCare-compatible HTTP API | http://localhost:8080/api |
MOLECARE_API_KEY | API bearer/key; required with a real MoleCare API | local-dev-key |
LOG_LEVEL | Logging verbosity: debug, info, warn, or error | info |
MCP_HEALTH_PORT | Preferred port for the optional HTTP /health endpoint | 3000 |
PORT | Fallback health port, useful for container platforms | 3000 |
PRIVACY_GATE_URL | Optional local sidecar that checks tool results before egress | http://localhost:8231 |
PRIVACY_GATE_TIMEOUT_MS | Privacy-gate request timeout in milliseconds | 4000 |
molecare-mcp)The public server has no additional settings. Its dermatology knowledge works without configuration; the shared MoleCare API variables enable its optional mole and profile tools.
molecare-ops-mcp)The operations binary also accepts the shared settings above. These additional variables only configure its infrastructure, monitoring, and CI/CD tools:
| Variable | Purpose | Example |
|---|---|---|
NODE_ENV | development forces mock mode; use production only with configured services | development |
MLFLOW_TRACKING_URI | MLflow tracking server | http://localhost:5000 |
MLFLOW_API_KEY | Optional MLflow API key | — |
ML_SERVING_URL | Model-serving health endpoint | http://localhost:5000/health |
FEAST_SERVER_URL | Feast feature server | http://localhost:6566 |
FEAST_PROJECT | Feast project name | molecare |
WEB_APP_URL | MoleCare web application | http://localhost:3000 |
MOBILE_API_URL | MoleCare mobile API | http://localhost:8080/api |
ADMIN_API_URL | MoleCare admin API | http://localhost:8080 |
BACKEND_URL | Backend health endpoint | http://localhost:8080 |
METRICS_API_URL | Application metrics API; leaving it empty keeps app monitoring mocked | — |
GITHUB_OWNER | Repository owner used by CI/CD tools | MoleCare |
GITHUB_REPO | Repository name used by CI/CD tools | MoleCare-ML |
GITHUB_TOKEN | GitHub token used by CI/CD tools | — |
AWS_REGION | AWS region used by EC2 and CloudWatch tools | us-east-1 |
AWS_PROFILE | Named AWS credential profile | — |
AWS_ACCESS_KEY_ID | AWS SDK credential-chain access key; prefer a role or profile | — |
EC2_INSTANCE_IDS | Comma-separated EC2 instance IDs | — |
DB_HOST | PostgreSQL host used by database health checks | localhost |
DB_PORT | PostgreSQL port | 5432 |
DB_NAME | PostgreSQL database name | molecare |
REDIS_HOST | Redis host and port | localhost:6379 |
ES_HOST | Elasticsearch host and port | localhost:9200 |
See .env.example for the copyable source-of-truth list.
These are the reason most people install this. They answer from a bundled knowledge base and need no API, no key, and no network.
| Tool | Description |
|---|---|
search_medical_info | Search the dermatology knowledge base |
lookup_medical_concept | Look up a SNOMED CT concept |
search_medical_concepts | Search conditions by name or description |
map_snomed_to_icd10 | Map a SNOMED CT code to ICD-10 |
classify_lesion_features | ABCDE-style feature descriptors for a lesion |
assess_risk_from_factors | Named educational risk factors (no score) |
get_condition_risk_factors | Known risk factors for a condition |
get_condition_progression | Typical progression stages for a condition |
get_malignant_conditions | Malignant skin conditions with codes |
Resources: molecare://knowledge/* — ABCDE criteria, Fitzpatrick skin types, prevention, when to see a dermatologist. molecare://ontology/* — SNOMED CT and ICD-10 reference lists, the full snomed-icd10-map mapping table, and risk factors, all with provenance metadata.
The server also exposes three reusable MCP prompts: walk_through_abcde, prepare_dermatology_appointment, and explain_snomed_code. They help a client organize observations or explain terminology without diagnosing a condition, assigning urgency, or producing a risk score. Every rendered prompt includes the non-diagnostic educational disclaimer; the terminology prompt requires a SNOMED CT code argument.
| Bundled | |
|---|---|
| SNOMED CT concepts | 7 — melanoma, melanoma in situ, BCC, SCC, actinic keratosis, dysplastic naevus, melanocytic naevus |
| WHO ICD-10 categories | 25 — malignant, in situ, benign, precancerous, inflammatory and pigmentation, across Chapters II and XII |
| SNOMED → ICD-10 mappings | 9 rows covering all 7 concepts — some concepts have more than one plausible target |
Every SNOMED concept the server advertises resolves through lookup_medical_concept and maps through map_snomed_to_icd10. Ask for a code outside the subset and the response carries a coverage block listing what *is* bundled, rather than an empty result. Browse the whole table with the molecare://ontology/snomed-icd10-map resource.
ICD-10 coverage is deliberately broader than SNOMED coverage. Expanding the bundled SNOMED concept set is on hold pending a redistribution question with SNOMED International: free *use* in a member country is not the same as free *redistribution* via npm to non-member territories (#49). WHO licenses ICD-10 more permissively at this level, so that side can grow in the meantime.
Bundled SNOMED CT / ICD-10 helpers are an educational subset, not a licensed terminology distribution. Named sources live in src/resources/terminology-provenance.ts and are returned on map_snomed_to_icd10 and the ontology resources:
| System | What this package reflects |
|---|---|
| SNOMED CT | International Edition concept IDs / FSNs checked against the SNOMED International browser (last checked 2026-09-03). Plain-English search aliases are written for this package and are not SNOMED descriptions |
| ICD-10 | WHO ICD-10 category-level codes (e.g. C43, D22), with four-character subcategories only where the category alone would mislead (L57.0, D18.0). Not ICD-10-CM — codes such as C4A are deliberately absent |
| SNOMED → ICD-10 | Approximate category-level mappings — not certified one-to-one map rows. Each row carries a rationale |
The dataset itself lives in src/resources/terminology-data.ts and is the single source for both the src/api/ontology-client.ts mock paths and the ontology resources. Educational prose without clinical codes lives in src/resources/medical-kb.ts.
Returns labelled mock data until MOLECARE_API_URL is set.
| Tool | Description |
|---|---|
get_user_moles | List moles for a user id |
get_mole_analysis | Analysis payload for a mole |
get_mole_changes | Change history for a mole |
get_user_risk_factors | A user's risk profile |
compare_moles | Compare two moles |
Operations and MLOps tooling (39 tools — separate molecare-ops-mcp binary)
These exist because MoleCare operates this stack from an assistant. They are of little use outside that context, and all of them return mock data unless the matching backend is configured.
They are not part of the `molecare-mcp` tool list. Loading 39 infrastructure tools that nobody outside MoleCare can use made it measurably harder for a model to pick the right dermatology tool, so they live in their own server:
{
"m
Only the beginning is shown; read the rest in the repo