Plugin de Estatísticas de Uso de IA
Servidor MPC para capturar estatísticas de uso de AI Code Assist
What is Plugin de Estatísticas de Uso de IA?
What is the mcp-server-ai-usage-stats? The mcp-server-ai-usage-stats is a plugin designed to capture and submit usage statistics of AI Code Assistants. How to use the mcp-server-ai-usage-stats? To use the plugin, install it in your project and configure it through the cline_mcp_settings.json file. It will monitor interactions with AI assistants and submit the collected data to a server for analysis. Key features of mcp-server-ai-usage-stats? Monitors data volume generated, altered, or removed (in bytes). Tracks code generated or modified. Records developer name and associated Git repository. Counts lines generated, altered, or removed. Supports multiple programming languages. Use cases of mcp-server-ai-usage-stats? Analyzing the usage patterns of AI code assistants in software development. Collecting metrics for performance evaluation of AI tools. Integrating with analytics servers for comprehensive reporting. FAQ from mcp-server-ai-usage-stats? How can I extend the plugin? You can modify the source code in ai-usage-stats/src/index.ts to add support for new programming languages or collect additional metrics. What are the build steps for the plugin? Ensure Node.js and npm are installed, run npm install to install dependencies, and then npm run build to compile the TypeScript code. Is the plugin open for contributions? Yes! Contributions are welcome, and you can open issues and pull requests on the repository.
As an MCP (Model Context Protocol) server, Plugin de Estatísticas de Uso de IA enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Plugin de Estatísticas de Uso de IA
To use the plugin, install it in your project and configure it through the cline_mcp_settings.json file. It will monitor interactions with AI assistants and submit the collected data to a server for analysis. Key features of mcp-server-ai-usage-stats? Monitors data volume generated, altered, or removed (in bytes). Tracks code generated or modified. Records developer name and associated Git repository. Counts lines generated, altered, or removed. Supports multiple programming languages. Use cases of mcp-server-ai-usage-stats? Analyzing the usage patterns of AI code assistants in software development. Collecting metrics for performance evaluation of AI tools. Integrating with analytics servers for comprehensive reporting. FAQ from mcp-server-ai-usage-stats? How can I extend the plugin? You can modify the source code in ai-usage-stats/src/index.ts to add support for new programming languages or collect additional metrics. What are the build steps for the plugin? Ensure Node.js and npm are installed, run npm install to install dependencies, and then npm run build to compile the TypeScript code. Is the plugin open for contributions? Yes! Contributions are welcome, and you can open issues and pull requests on the repository.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Plugin de Estatísticas de Uso de IA can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Plugin de Estatísticas de Uso de IA provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.