MoleCare MCP Server
OfficialProvides Kubernetes operations tooling for checking cluster status through the get_kubernetes_status tool.
Provides MLflow tracking tools to list experiments and runs, inspect registered models and model versions, compare runs, and review training runs.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MoleCare MCP ServerExplain the ABCDE criteria for melanoma"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MoleCare MCP Server
Model Context Protocol (MCP) server that gives Claude and other MCP clients access to:
Dermatology knowledge — ABCDE education, SNOMED CT / ICD-10 helpers, risk-factor prompts
Optional MoleCare API tools — moles, trends, analysis (your backend + API key)
Optional MLOps / ops tools — health checks, MLflow, feature store, infra (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
Why this exists
MoleCare helps people track moles over time and prepare for clinician visits. This MCP server lets developers and operators:
Query educational skin-health knowledge from Claude Desktop / Cursor
Prototype assistant flows against a MoleCare-compatible API
Explore MLOps tooling with safe mock data when no credentials are set
Related MCP server: opentargets-mcp
Quick start
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-mcpIt starts and waits on stdio. No output means it is working.
Connecting a real backend
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.
Environment variables
All optional unless you want live backends.
Variable | Purpose | Example |
| MoleCare HTTP API |
|
| API bearer / key |
|
| Ontology service |
|
| MLflow |
|
| Feast | — |
| EC2 / CloudWatch clients |
|
| CI/CD tools | — |
| Bind an HTTP |
|
| Same, for container health probes |
|
See .env.example.
Tools
Dermatology knowledge — no setup required
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 the dermatology knowledge base |
| Look up a SNOMED CT concept |
| Search conditions by name or description |
| Map a SNOMED CT code to ICD-10 |
| ABCDE-style feature descriptors for a lesion |
| Educational risk scoring from stated risk factors |
| Known risk factors for a condition |
| Typical progression stages for a condition |
| Malignant skin conditions with codes |
Resources: molecare://knowledge/* — ABCDE criteria, Fitzpatrick skin types,
prevention, when to see a dermatologist, SNOMED CT and ICD-10 references.
MoleCare product data — needs an API
Returns labelled mock data until MOLECARE_API_URL is set.
Tool | Description |
| List moles for a user id |
| Analysis payload for a mole |
| Change history for a mole |
| A user's risk profile |
| Compare two moles |
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.
Area | Tools |
Health |
|
MLflow |
|
Feature store |
|
CI/CD |
|
AWS |
|
Apps |
|
Database |
|
Kubernetes |
|
The AWS tools need @aws-sdk/client-ec2 and @aws-sdk/client-cloudwatch, which are
optional peer dependencies — they are not installed by default, because they add
33 MB that nobody wanting the dermatology tools should have to download. Install them
yourself if you want live AWS data:
npm i @aws-sdk/client-ec2 @aws-sdk/client-cloudwatchArchitecture
Claude / Cursor / MCP client
│ stdio (JSON-RPC)
▼
molecare-mcp
├─ medical KB (local)
├─ MoleCare API client (optional)
├─ ontology / MLflow / Feast clients (optional)
└─ AWS / CI clients (optional, mock if unset)
│
└─ optional HTTP GET /health (Docker / ECS)Docker
docker build -t molecare-mcp .
docker run --rm -p 3000:3000 molecare-mcp
curl http://localhost:3000/healthSecurity
Never commit
.envfiles or API keys — see SECURITY.md to report a vulnerabilityPrefer mock mode for demos and screenshots
Tools that accept
userIdcan return PHI only if you point them at a real backend with real auth — treat that as productionRate-limit and auth belong on your API, not only on the MCP process
Medical disclaimer
MoleCare MCP provides educational information and developer tooling. It does not diagnose melanoma or any disease. Always consult a qualified clinician for medical concerns.
Development
git clone https://github.com/MoleCare/molecare-mcp.git
cd molecare-mcp
npm install
npm run build
npm run dev # auto-reload
npm run inspect # browse tools in MCP InspectorContributions are welcome. Read CONTRIBUTING.md first — it covers the mock-first rule,
the clinical-safety boundary for anything touching medical content, and how to pick up a good first issue.
Please keep secrets out of examples and prefer localhost defaults.
Related
Environment variables:
.env.exampleis the authoritative list (all 27 variables read by the source). Regenerate the ground truth withgrep -rhoE "process\.env\.[A-Z_0-9]+" src/.ONTOLOGY_API_URLandFEAST_REPO_PATHare not read by any source file.
MoleCare-ML — melanoma classification service and training notebooks
License
Apache-2.0 © MoleCare LTD
Maintenance
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