# physionet-mcp

> Use this tool when you need to explore and analyze large biomedical datasets, such as those from PhysioNet, to gain insights and discover patterns. It solves problems related to data discovery, schema inspection, and query execution, providing outputs in the form of dataset listings, schema views, and query results. The tool accepts inputs like dataset names, SQL queries, and table names, making it ideal for researchers and analysts working with BigQuery and PhysioNet data.

Canonical page: https://skillsregistry.net/skills/rafiattrach-physionet-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rafiattrach-physionet-mcp

## Description

Enables querying and exploring PhysioNet biomedical datasets via BigQuery, with tools to list accessible datasets, view schemas, inspect tables, and run SQL queries.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o7c80v655s)
- **Repository:** <https://github.com/rafiattrach/physionet-mcp>

## 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": "rafiattrach-physionet-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rafiattrach-physionet-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rafiattrach-physionet-mcp/pull`

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