# Mental Health MCP

> Use this tool when you need to provide emotional support and self-care guidance to users through a conversational interface. It analyzes user messages for emotional patterns and returns structured responses with supportive suggestions, helping to address mental health concerns without making clinical diagnoses. Ideal for use cases where a supportive and non-clinical listening ear is required, with inputs of user messages and outputs of personalized guidance and self-care recommendations.

Canonical page: https://skillsregistry.net/skills/carolinefebraga-mental-health-mcp  
JSON: https://api.skillsregistry.net/v1/skills/carolinefebraga-mental-health-mcp

## Description

This MCP server provides emotional support through a rule-based system that analyzes user messages for emotional patterns and returns structured responses with self-care suggestions. It acts as a conversational assistant with ethical limitations, avoiding clinical diagnoses while offering supportive guidance.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cba4qaqp2a)
- **Repository:** <https://github.com/carolinefebraga/mental_health_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": "carolinefebraga-mental-health-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/carolinefebraga-mental-health-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/carolinefebraga-mental-health-mcp/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