# GitHub Stars

> Use this tool when you need to analyze GitHub starring behavior and track technology adoption trends. It solves problems related to developer research, technology trend analysis, and building AI assistants by providing insights into user starred repositories and starring patterns over time. The tool takes GitHub user data as input and outputs repository rankings, language distribution, and timeline analysis, making it a valuable resource for understanding developer preferences and technology landscapes.

Canonical page: https://skillsregistry.net/skills/dustyposa-github-stars  
JSON: https://api.skillsregistry.net/v1/skills/dustyposa-github-stars

## Description

This MCP server provides GitHub stars analysis and timeline tracking capabilities through the GitHub GraphQL API, enabling AI assistants to retrieve user starred repositories, analyze starring patterns over time, and extract technology adoption insights. Built using FastMCP 2.2.0+ with Python 3.11+, it offers tools for fetching starred repositories with pagination support, timeline analysis with monthly activity breakdowns, language distribution analysis, and repository ranking by popularity. The implementation features async/await patterns for performance, TTL caching for API response optimization, structured logging with structlog, robust error handling for GitHub API rate limits and authentication failures, and comprehensive data models using Pydantic for validation, making it valuable for developer research workflows, technology trend analysis, and building AI assistants that need programmatic access to GitHub starring behavior without manual repository browsing.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** version-control
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dustyposa-github-stars)
- **Repository:** <https://github.com/dustyposa/github-stars-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "dustyposa-github-stars"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dustyposa-github-stars` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dustyposa-github-stars/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt