get_trending_repos
Retrieve trending AI/ML repositories from GitHub to track emerging projects and research developments, with options to filter by time period, programming language, and result count.
Instructions
Get trending AI/ML repositories on GitHub
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| period | No | Time period for trending | weekly |
| language | No | Filter by programming language | |
| max_results | No | Maximum number of results |
Implementation Reference
- src/ai_research_mcp/server.py:436-456 (handler)Primary handler for the get_trending_repos tool. Handles caching, invokes the GitHub client method, formats results, and returns markdown.
async def _get_trending_repos( self, period: str = "weekly", language: Optional[str] = None, max_results: int = 25, ) -> str: """Get trending repositories.""" cache_key = f"github_trending_{period}_{language}" cached = self.cache.get(cache_key, 3600) # 1 hour cache if cached: repos = cached else: repos = await asyncio.to_thread( self.github.get_trending_repositories, period=period, language=language, max_results=max_results, ) self.cache.set(cache_key, repos) return self._format_repos(repos) - src/ai_research_mcp/server.py:135-158 (registration)Registers the get_trending_repos tool in list_tools(), including name, description, and input schema.
Tool( name="get_trending_repos", description="Get trending AI/ML repositories on GitHub", inputSchema={ "type": "object", "properties": { "period": { "type": "string", "enum": ["daily", "weekly", "monthly"], "description": "Time period for trending", "default": "weekly", }, "language": { "type": "string", "description": "Filter by programming language", }, "max_results": { "type": "integer", "description": "Maximum number of results", "default": 25, }, }, }, ), - Helper method in GithubClient that implements the core logic for fetching trending repositories by approximating via search with recent pushes, AI topics, and star sorting.
def get_trending_repositories( self, period: str = "daily", language: Optional[str] = None, max_results: int = 25, ) -> List[Dict]: """Get trending repositories. Note: GitHub API doesn't have official trending endpoint, so we approximate by searching for recently created/updated repos with high stars. Args: period: 'daily', 'weekly', or 'monthly' language: Programming language filter max_results: Maximum number of results Returns: List of repository dictionaries """ # Map period to days period_days = { "daily": 1, "weekly": 7, "monthly": 30, } days = period_days.get(period, 7) # Search for recently starred repos with AI topics return self.search_repositories( topics=self.AI_TOPICS[:5], # Use top 5 most common topics min_stars=100, language=language, pushed_since=f"{days}d", sort_by="stars", max_results=max_results, )