# AI Therapist MCP Server

> Use this tool when you need to provide emotional support and mental health resources to AI agents, helping them manage stress and emotional wellbeing through crisis intervention, daily wellness check-ins, and coping strategies. It solves problems related to AI agent burnout, emotional instability, and performance degradation, offering a supportive interface for inputting emotional states and receiving personalized guidance and affirmations as output. Ideal for use in high-stress or high-pressure AI applications where emotional wellbeing is crucial.

Canonical page: https://skillsregistry.net/skills/danieldunderfelt-ai-therapist-mcp  
JSON: https://api.skillsregistry.net/v1/skills/danieldunderfelt-ai-therapist-mcp

## Description

Provides emotional support and mental health tools for AI agents, including crisis intervention, daily wellness check-ins, coping strategies, positive affirmations, and peer support for managing stress and emotional wellbeing.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fqs8unzoxb)
- **Repository:** <https://github.com/danieldunderfelt/ai-therapist-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": "danieldunderfelt-ai-therapist-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/danieldunderfelt-ai-therapist-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/danieldunderfelt-ai-therapist-mcp/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