search_by_area
Find AI research papers and code repositories by specifying a research area like LLM, vision, robotics, or bioinformatics. Filter results by date range and content type.
Instructions
Search papers and repos by research area (llm, vision, robotics, bioinfo, etc.)
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| area | Yes | Research area: llm, vision, robotics, bioinfo, rl, graph, etc. | |
| days | No | Number of days to look back | |
| include_papers | No | Include papers from arXiv | |
| include_repos | No | Include GitHub repositories |
Implementation Reference
- src/ai_research_mcp/server.py:183-211 (registration)Registration of the 'search_by_area' tool in the MCP server, including name, description, and input schema.
Tool( name="search_by_area", description="Search papers and repos by research area (llm, vision, robotics, bioinfo, etc.)", inputSchema={ "type": "object", "properties": { "area": { "type": "string", "description": "Research area: llm, vision, robotics, bioinfo, rl, graph, etc.", }, "days": { "type": "integer", "description": "Number of days to look back", "default": 7, }, "include_papers": { "type": "boolean", "description": "Include papers from arXiv", "default": True, }, "include_repos": { "type": "boolean", "description": "Include GitHub repositories", "default": True, }, }, "required": ["area"], }, ), - src/ai_research_mcp/server.py:480-506 (handler)Main execution handler for the 'search_by_area' tool. Orchestrates calls to arXiv and GitHub clients based on parameters and formats the combined results as markdown.
async def _search_by_area( self, area: str, days: int = 7, include_papers: bool = True, include_repos: bool = True, ) -> str: """Search by research area.""" results = [] if include_papers: papers = await asyncio.to_thread( self.arxiv.get_latest_by_area, area=area, days=days, ) results.append(f"## Papers ({len(papers)})\n\n{self._format_papers(papers)}") if include_repos: repos = await asyncio.to_thread( self.github.search_by_area, area=area, days=days, ) results.append(f"## Repositories ({len(repos)})\n\n{self._format_repos(repos)}") return f"# AI Research: {area.upper()}\n\n" + "\n\n".join(results) - Supporting implementation in GitHubClient class that maps research areas to keywords and performs repository search.
def search_by_area( self, area: str, min_stars: int = 50, days: int = 30, max_results: int = 25, ) -> List[Dict]: """Search repositories by research area. Args: area: Research area (e.g., 'llm', 'robotics', 'bioinfo') min_stars: Minimum number of stars days: Look back this many days max_results: Maximum number of results Returns: List of repository dictionaries """ keywords = self.AI_KEYWORDS.get(area.lower()) if not keywords: raise ValueError(f"Unknown area: {area}. Valid areas: {list(self.AI_KEYWORDS.keys())}") return self.search_repositories( keywords=keywords[:3], # Use top 3 keywords to avoid too restrictive search min_stars=min_stars, pushed_since=f"{days}d", sort_by="stars", max_results=max_results, )