MCP server for educational dermatology knowledge, MoleCare API tools, and MLOps operations tooling. Runs in mock mode with no credentials. Not a medical device.
- ✓Open-source license (Apache-2.0)
- ✓Actively maintained (<30d)
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
claude mcp add molecare-mcp -- npx -y molecare-mcp{
"mcpServers": {
"molecare-mcp": {
"command": "npx",
"args": ["-y", "molecare-mcp"]
}
}
}MCP Servers overview
# MoleCare MCP Server
[](./LICENSE)
[](https://nodejs.org)
[](https://modelcontextprotocol.io)
**Model Context Protocol (MCP) server** that gives Claude and other MCP clients access to:
1. **Dermatology knowledge** — ABCDE education, SNOMED CT / ICD-10 helpers, risk-factor prompts
2. **Optional MoleCare API tools** — moles, trends, analysis (your backend + API key)
3. **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](https://www.molecare.co.uk/) · App: [iOS](https://apps.apple.com/us/app/molecare/id1448635328) · [Android](https://play.google.com/store/apps/details?id=com.mymolecare)
---
## 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
---
## Quick start
No credentials, no database, no cloud account. Add this to your MCP client config
and restart it:
```json
{
"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:
```bash
npx -y molecare-mcp
```
It 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:
```json
{
"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_API_URL` | MoleCare HTTP API | `http://localhost:8080/api` |
| `MOLECARE_API_KEY` | API bearer / key | `local-dev-key` |
| `ONTOLOGY_API_URL` | Ontology service | `http://localhost:8081` |
| `MLFLOW_TRACKING_URI` | MLflow | `http://localhost:5000` |
| `FEAST_REPO_PATH` / feature store URL | Feast | — |
| `AWS_REGION` | EC2 / CloudWatch clients | `us-east-1` |
| `GITHUB_TOKEN` | CI/CD tools | — |
| `MCP_HEALTH_PORT` | Bind an HTTP `/health` endpoint. Unset by default — stdio clients do not need it | `3000` |
| `PORT` | Same, for container health probes | `3000` |
See [`.env.example`](./.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_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` | Educational risk scoring from stated risk factors |
| `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, SNOMED CT and ICD-10 references.
### MoleCare product data — needs an API
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 |
<details>
<summary><b>Operations and MLOps tooling</b> (~35 tools — MoleCare's own infrastructure)</summary>
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 | `get_system_health`, `check_server_health`, `get_service_health`, `clear_cache` |
| MLflow | `get_mlflow_experiments`, `get_mlflow_runs`, `get_registered_models`, `get_model_version`, `compare_model_runs`, `get_training_runs` |
| Feature store | `get_feature_views`, `get_feature_view_details`, `get_feature_freshness`, `get_online_features`, `get_feature_store_stats` |
| CI/CD | `get_pipeline_runs`, `get_pipeline_summary`, `get_deployments`, `get_deployment_status`, `get_releases` |
| AWS | `get_ec2_instances`, `get_ec2_instance`, `get_ec2_health`, `get_ec2_metrics` |
| Apps | `get_app_status`, `get_web_app_status`, `get_mobile_api_status`, `get_all_apps_status`, `get_app_metrics`, `get_app_errors`, `get_app_versions`, `get_app_store_status` |
| Database | `get_database_status`, `get_database_metrics`, `get_slow_queries`, `get_table_stats`, `get_backup_history`, `get_connection_pools` |
| Kubernetes | `get_kubernetes_status` |
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:
```bash
npm i @aws-sdk/client-ec2 @aws-sdk/client-cloudwatch
```
</details>
---
## Architecture
```
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
```bash
docker build -t molecare-mcp .
docker run --rm -p 3000:3000 molecare-mcp
curl http://localhost:3000/health
```
---
## Security
- Never commit `.env` files or API keys — see [SECURITY.md](./SECURITY.md) to report a vulnerability
- Prefer mock mode for demos and screenshots
- Tools that accept `userId` can return PHI **only if** you point them at a real backend with real auth — treat that as production
- Rate-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
```bash
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 Inspector
```
Contributions are welcome. Read [CONTRIBUTING.md](./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.example` is the authoritative list (all 27 variables read by the source). Regenerate the ground truth with `grep -rhoE "process\.env\.[A-Z_0-9]+" src/`. `ONTOLOGY_API_URL` and `FEAST_REPO_PATH` are not read by any source file.
- [Model Context Protocol](https://modelcontextprotocol.io)
- [MoleCare](https://www.molecare.co.uk/)
- [MoleCare-ML](https://github.com/MoleCare/MoleCare-ML) — melanoma classification service and training notebooks
---
## License
[Apache-2.0](./LICENSE) © MoleCare LTD
What people ask about molecare-mcp
What is MoleCare/molecare-mcp?
+
MoleCare/molecare-mcp is mcp servers for the Claude AI ecosystem. MCP server for educational dermatology knowledge, MoleCare API tools, and MLOps operations tooling. Runs in mock mode with no credentials. Not a medical device. It has 3 GitHub stars and its last recorded update is dated 2026-08-24.
How do I install molecare-mcp?
+
You can install molecare-mcp by cloning the repository (https://github.com/MoleCare/molecare-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is MoleCare/molecare-mcp safe to use?
+
Our security agent has analyzed MoleCare/molecare-mcp and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains MoleCare/molecare-mcp?
+
MoleCare/molecare-mcp is maintained by MoleCare. The last recorded GitHub activity is dated 2026-08-24, with 20 open issues.
Are there alternatives to molecare-mcp?
+
Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.
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