# M4

> Use this tool when you need to query clinical datasets with natural language, supporting both tabular EHR data and clinical notes. It solves problems related to accessing and analyzing large clinical datasets, such as MIMIC-IV and eICU, by providing a unified interface for querying. Ideal for use cases where clinicians or researchers require efficient and intuitive access to clinical data, with natural language inputs and relevant data outputs.

Canonical page: https://skillsregistry.net/skills/hannesill-m4  
JSON: https://api.skillsregistry.net/v1/skills/hannesill-m4

## Description

Query clinical datasets like MIMIC-IV and eICU with natural language, supporting both tabular EHR data and clinical notes through a unified interface.

## Trust

- **Trust score (0–1):** 0.84
- **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/dpi0p00hc1)
- **Repository:** <https://github.com/hannesill/m4>

## 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": "hannesill-m4"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hannesill-m4` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hannesill-m4/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