starReport

what is starReport?

starReport is a Node.js tool designed for automatically generating and managing activity reports for specified GitHub repositories, including stars, commits, and issues. It supports MCP protocol services, integrates intelligent analysis, and can automatically push reports to Feishu groups.

how to use starReport?

To use starReport, clone the repository, install the dependencies, configure the environment variables, and run the project using Node.js.

key features of starReport?

• GitHub Repository Activity Monitoring: Automatically collects data on stars, commits, and issues, supporting daily and weekly reports.
• Automatic Report Pushing: Sends daily, weekly, and intelligent analysis reports to Feishu groups for team synchronization.
• MCP Service Support: Provides data querying, report generation, AI analysis, and message pushing capabilities through the MCP protocol.
• Intelligent Analysis: Integrates large models for trend analysis, summaries, and visualizations of historical data.
• SSE Real-time Streaming Analysis: Supports HTTP SSE for real-time intelligent analysis content delivery.
• Webhook Q&A: Compatible with Feishu webhook for group chat inquiries and returns intelligent analysis results.
• Scheduled Tasks: Built-in tasks for daily/weekly data collection and report pushing without manual intervention.
• Flexible Configuration: Allows configuration through environment variables for monitoring repositories, push methods, and model parameters.

use cases of starReport?

1. Monitoring activity levels of multiple GitHub repositories.
2. Automating report generation for team updates.
3. Integrating intelligent analysis for project management.

FAQ from starReport?

• Can starReport monitor multiple repositories?

Yes! You can specify multiple repositories to monitor in the configuration.

• Is starReport free to use?

Yes! starReport is open-source and free to use under the MIT license.

• How does starReport handle data privacy?

Ensure sensitive information is not exposed in public settings, especially in environment variables.