About Stresszero Mcp
Stresszero Mcp connects AI agents and MCP-compatible clients to the StressZero Intelligence API for self-assessed burnout analysis. It returns indicative scores and recommendations across physical, emotional, and effectiveness dimensions; it does not provide medical diagnosis.
Key features
- 01Three-dimension burnout self-assessment
- 02Indicative scores and contributing factors
- 03Detailed reports and action plans
- 04Quick self-check for conversations
- 05API key creation
- 06OpenAPI resource and guided prompt
Use cases
- 01Support conversational workload self-assessments
- 02Provide HR platforms with aggregated anonymized signals
- 03Guide wellness chatbot next steps
- 04Trigger prevention workflows from self-assessed scores
MCP support
The MCP server exposes burnout analysis, report generation, quick checks, and API-key creation as tools. It also provides the OpenAPI specification as a resource and a guided assessment questionnaire as a prompt.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEStressZero MCP Server
MCP server for the StressZero Intelligence API — burnout prevention self-assessment for AI agents, across 3 dimensions (physical, emotional, effectiveness).
Enable Claude, Cursor, Windsurf, n8n, and any MCP-compatible client to help users self-assess their workload signals in real-time conversations.
⚠️ Not a medical device. All scores are indicative, based on self-reported answers. This server provides no diagnosis, no screening, and no clinical triage. Persistent exhaustion warrants a doctor — the tools say so in their outputs.
Tools
| Tool | Description |
|---|---|
analyze_burnout | Self-assessed burnout signals across physical, emotional, and effectiveness dimensions. Returns an indicative score, level, contributing factors, and prevention recommendations. |
generate_burnout_report | Generate a detailed self-assessment report with action plans. Requires Starter+ tier. |
quick_burnout_check | Simplified 3-score self-check for chatbots and quick conversations. |
get_stresszero_api_key | Create a free API key (500 calls/month) for a user. |
Resources
| Resource | Description |
|---|---|
stresszero://openapi | Complete OpenAPI 3.1 specification |
Prompts
| Prompt | Description |
|---|---|
burnout_assessment | Guided burnout assessment questionnaire template (FR/EN) |
Quick Start
1. Get your free API key
Visit stresszeroentrepreneur.fr/intelligence-api and sign up. Free tier: 500 calls/month, no credit card required.
2. Configure your MCP client
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows):
{
"mcpServers": {
"stresszero": {
"command": "npx",
"args": ["-y", "stresszero-mcp"],
"env": {
"STRESSZERO_API_KEY": "sz_live_your_key_here"
}
}
}
}
Claude Code
Add to .mcp.json at your project root or ~/.claude/mcp.json:
{
"mcpServers": {
"stresszero": {
"command": "npx",
"args": ["-y", "stresszero-mcp"],
"env": {
"STRESSZERO_API_KEY": "sz_live_your_key_here"
}
}
}
}
Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"stresszero": {
"command": "npx",
"args": ["-y", "stresszero-mcp"],
"env": {
"STRESSZERO_API_KEY": "sz_live_your_key_here"
}
}
}
}
Windsurf
Add to ~/.codeium/windsurf/mcp_config.json:
{
"mcpServers": {
"stresszero": {
"command": "npx",
"args": ["-y", "stresszero-mcp"],
"env": {
"STRESSZERO_API_KEY": "sz_live_your_key_here"
}
}
}
}
3. Use it
Ask Claude: "Check my burnout risk. My sleep quality is 40/100, motivation is 55/100, and productivity is 35/100. I work 60 hours/week as an entrepreneur."
Claude will automatically call quick_burnout_check and return your score with recommendations.
Use Cases
- AI coaching assistant — Help users self-assess their workload in real-time during conversations
- HR AI agent — Aggregated, anonymized team load signals only (individual scores are never exposed to employers)
- Wellness chatbot — Suggest next steps based on self-reported load, including seeing a doctor when signals persist
- n8n automation — Trigger prevention workflows when a self-assessed score crosses a threshold
- Productivity tool — Monitor self-reported wellbeing and suggest breaks
API Tiers
Free tier: 500 calls/month, no credit card. Current paid tiers and pricing: stresszeroentrepreneur.fr/intelligence-api
Environment Variables
| Variable | Required | Description |
|---|---|---|
STRESSZERO_API_KEY | Yes | Your API key (starts with sz_live_) |
STRESSZERO_API_URL | No | Custom API base URL (default: https://stresszeroentrepreneur.fr) |
Development
git clone https://github.com/stresszero/stresszero-mcp.git
cd stresszero-mcp
npm install
npm run build
STRESSZERO_API_KEY=sz_live_xxx node build/index.js
Debug with the MCP Inspector:
npx @modelcontextprotocol/inspector node build/index.js
License
MIT — Emmanuel Gomes Soares, StressZero Entrepreneur
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.