# VitalDB MCP Server

> Use this tool when you need to analyze and explore medical datasets using natural language queries, and perform advanced statistical analysis and visualization of physiological signals and patient data. It solves problems related to data-driven medical research, patient outcome analysis, and signal processing by providing features like filtering, correlation analysis, and anomaly detection. It takes in medical datasets as input and outputs comprehensive visualizations and insights, making it ideal for use cases in medical research and healthcare analytics.

Canonical page: https://skillsregistry.net/skills/yejelim-vitaldb-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/yejelim-vitaldb-mcp-server

## Description

Enables natural language exploration and advanced analysis of VitalDB medical datasets. Supports statistical filtering, correlation analysis, group comparisons, anomaly detection, and comprehensive visualization of physiological signals and patient data.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bh4vmqc0g2)
- **Repository:** <https://github.com/yejelim/vitaldb-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "yejelim-vitaldb-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yejelim-vitaldb-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yejelim-vitaldb-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt