# Senechal Health

> Use this tool when you need to access and analyze personal health information, enabling AI-driven health analysis for use cases like personalized wellness recommendations or long-term health monitoring. It provides a bridge to the Senechal health data API, allowing retrieval of health summaries, profiles, and trends. This server implementation is ideal for applications requiring in-depth health data analysis and insights.

Canonical page: https://skillsregistry.net/skills/mattjoyce-senechal-health  
JSON: https://api.skillsregistry.net/v1/skills/mattjoyce-senechal-health

## Description

This MCP server implementation provides a bridge to the Senechal health data API, enabling AI assistants to access and analyze personal health information. Developed by Matt Joyce, it offers tools for retrieving health summaries, profiles, current measurements, trends, and statistics. The server is designed for use cases requiring AI-driven health analysis, such as personalized wellness recommendations or long-term health monitoring.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mattjoyce-senechal-health)
- **Repository:** <https://github.com/mattjoyce/senechal-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": "mattjoyce-senechal-health"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mattjoyce-senechal-health` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mattjoyce-senechal-health/pull`

---
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