Humsana
Detect developer stress, focus, fatigue from typing. Block dangerous commands when tired.
What is Humsana?
Humsana is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to detect developer stress, focus, fatigue from typing. block dangerous commands when tired.
Detect developer stress, focus, fatigue from typing. Block dangerous commands when tired.
This server falls under the Monitoring & Observability category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Detect developer stress, focus, fatigue from typing. Block d
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @humsana/mcp-serverManual Installation
npx -y @humsana/mcp-serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Humsana
What is Humsana?
Humsana is a Model Context Protocol (MCP) server that detect developer stress, focus, fatigue from typing. block dangerous commands when tired. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Humsana?
Install via npm with the command: npx -y @humsana/mcp-server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with Humsana?
Humsana works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Humsana free to use?
Yes, Humsana is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Monitoring & Observability MCP Servers
Explore all monitoring & observability servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Humsana in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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