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Starreport

MCP Server

MCP Server: Starreport

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Updated 11 days ago

About

starReport 是一个用于自动生成和管理指定 GitHub 仓库 star、commit、issue 等活跃度报告的 Node.js 工具,支持 MCP 协议服务,集成大模型智能分析,并可自动推送到飞书群。

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

MCP 工具

starReport is a Node.js‑based MCP server that automates the generation and distribution of activity reports for specified GitHub repositories. By aggregating metrics such as stars, commits, and issues on a daily or weekly basis, it provides teams with a clear view of how their projects are evolving. The server’s integration with large‑model AI services enables trend analysis, summarization, and even visual tabulation of historical data, turning raw statistics into actionable insights.

For developers building AI‑enhanced workflows, starReport offers a convenient bridge between GitHub data and conversational assistants. The MCP protocol exposes tools for querying repository metrics, triggering report creation, invoking AI analysis, and sending messages to Feishu (Lark) groups. This means an assistant can, on command, fetch the latest star count, ask a model to predict future growth, and post the results directly into a team chat—all without manual scripting. The server’s HTTP SSE endpoint also allows front‑end dashboards to receive real‑time updates as analysis streams in, making it suitable for live monitoring panels.

Key capabilities include:

  • Automated data collection from multiple repositories, configurable via environment variables.
  • Scheduled report generation, eliminating the need for manual triggers.
  • Model‑driven insights that can be tailored with custom prompts, supporting both trend forecasts and ad‑hoc question answering.
  • SSE streaming for instant front‑end feedback.
  • Webhook‑based Q&A that lets Feishu group members pose questions and receive AI responses directly in the chat.
  • MCP service that exposes these functions as tools, making integration into any MCP‑compatible platform straightforward.

Typical use cases span open‑source maintainers who want to keep stakeholders informed, internal product teams tracking repository health, and data scientists building dashboards that combine GitHub metrics with predictive analytics. By pushing polished reports to Feishu, starReport ensures teams stay aligned without opening a browser or digging through logs.

What sets starReport apart is its end‑to‑end automation: from data ingestion to AI analysis and final delivery, all orchestrated through a single MCP service. This reduces operational overhead, guarantees consistency across reports, and empowers developers to embed repository intelligence directly into their AI‑driven tooling ecosystem.