Gizmo Analytics
Cookieless analytics for AI coding agents. Install in one prompt, 28 tools, OAuth onboarding.
What is Gizmo Analytics?
Gizmo Analytics is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to cookieless analytics for ai coding agents. install in one prompt, 28 tools, oauth onboarding.
Cookieless analytics for AI coding agents. Install in one prompt, 28 tools, OAuth onboarding.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Cookieless analytics for AI coding agents. Install in one pr
Use Cases
Maintainer
Works with
Installation
NPM
npx -y gizmoanalytics-mcpManual Installation
npx -y gizmoanalytics-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Gizmo Analytics
What is Gizmo Analytics?
Gizmo Analytics is a Model Context Protocol (MCP) server that cookieless analytics for ai coding agents. install in one prompt, 28 tools, oauth onboarding. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Gizmo Analytics?
Install via npm with the command: npx -y gizmoanalytics-mcp. 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 Gizmo Analytics?
Gizmo Analytics works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Gizmo Analytics free to use?
Yes, Gizmo Analytics 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 Analytics MCP Servers
Explore all analytics servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up Gizmo Analytics 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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