Convai Analytics
Agentic analytics for Convai applications: MCP server, TypeScript/Python SDKs, CLI, prompt recipes, and chart recipes.
What is Convai Analytics?
Convai Analytics is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to agentic analytics for convai applications: mcp server, typescript/python sdks, cli, prompt recipes, and chart recipes.
Agentic analytics for Convai applications: MCP server, TypeScript/Python SDKs, CLI, prompt recipes, and chart recipes.
This server falls under the Analytics category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Agentic analytics for Convai applications: MCP server, TypeS
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @convai/analytics-mcpManual Installation
npx -y @convai/analytics-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Convai Analytics
What is Convai Analytics?
Convai Analytics is a Model Context Protocol (MCP) server that agentic analytics for convai applications: mcp server, typescript/python sdks, cli, prompt recipes, and chart recipes. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Convai Analytics?
Install via npm with the command: npx -y @convai/analytics-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 Convai Analytics?
Convai Analytics works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Convai Analytics free to use?
Yes, Convai 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 Convai 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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