oncallhealth-mcp

MCP server for On-Call Health burnout analysis. Connects AI assistants to your on-call data for workload insights.

Prerequisites

• An On-Call Health account at oncallhealth.ai
• An API key from oncallhealth.ai/settings/api-keys

Installation

Pick your editor or client below and follow the instructions.

Claude Code

claude mcp add oncallhealth -e ONCALLHEALTH_API_KEY=och_live_... -- uvx oncallhealth-mcp

Claude Desktop

Add to your claude_desktop_config.json:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "oncallhealth": {
      "command": "uvx",
      "args": ["oncallhealth-mcp"],
      "env": {
        "ONCALLHEALTH_API_KEY": "och_live_your_api_key_here"
      }
    }
  }
}

Cursor

Add to .cursor/mcp.json in your project (or ~/.cursor/mcp.json for global):

{
  "mcpServers": {
    "oncallhealth": {
      "command": "uvx",
      "args": ["oncallhealth-mcp"],
      "env": {
        "ONCALLHEALTH_API_KEY": "och_live_your_api_key_here"
      }
    }
  }
}

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "oncallhealth": {
      "command": "uvx",
      "args": ["oncallhealth-mcp"],
      "env": {
        "ONCALLHEALTH_API_KEY": "och_live_your_api_key_here"
      }
    }
  }
}

VS Code / GitHub Copilot

Add to .vscode/mcp.json in your project:

{
  "servers": {
    "oncallhealth": {
      "command": "uvx",
      "args": ["oncallhealth-mcp"],
      "env": {
        "ONCALLHEALTH_API_KEY": "och_live_your_api_key_here"
      }
    }
  }
}

Manual / Other Clients

Install from PyPI:

pip install oncallhealth-mcp

Run the server:

export ONCALLHEALTH_API_KEY=och_live_...
oncallhealth-mcp

Or run without installing using uvx:

ONCALLHEALTH_API_KEY=och_live_... uvx oncallhealth-mcp

Configuration

Environment Variables

Security Note

Avoid committing API keys to version control. Use environment variables or a secrets manager instead of hardcoding keys in config files.

Available Tools

analysis_start

Start a new burnout analysis for your on-call data.

Parameters:

• days_back (int, default: 30): Number of days to analyze
• include_weekends (bool, default: true): Include weekend data
• integration_id (int, optional): Specific integration to analyze

analysis_status

Check the status of a running analysis.

Parameters:

• analysis_id (int): ID of the analysis to check

analysis_results

Get full results for a completed analysis.

Parameters:

• analysis_id (int): ID of the completed analysis

analysis_current

Get the most recent analysis for your account.

Parameters: None

integrations_list

List all connected integrations (Rootly, GitHub, Slack, Jira, Linear).

Parameters: None

Resources

oncallhealth://methodology

Provides a brief description of the On-Call Health methodology for measuring workload and burnout risk.

Prompts

weekly_brief

Template for generating a weekly on-call health summary.

Parameters:

• team_name (str): Name of the team to summarize

CLI Reference

usage: oncallhealth-mcp [-h] [--transport {stdio,http}] [--host HOST]
                        [--port PORT] [-v] [--version]

options:
  -h, --help            show this help message and exit
  --transport {stdio,http}
                        Transport to use (default: stdio)
  --host HOST           Host to bind to (http transport only, default: 127.0.0.1)
  --port PORT           Port to bind to (http transport only, default: 8000)
  -v, --verbose         Enable verbose logging
  --version             show program's version number and exit

Transport Options

• stdio (default): Standard input/output transport. Used by Claude Desktop and most MCP clients.
• http: HTTP transport with Server-Sent Events. Useful for web-based clients or debugging.

Links

• On-Call Health - Main website
• API Documentation - REST API docs
• GitHub Issues - Report bugs

License

Apache-2.0