Optimize code for performance, memory usage, or readability using Qwen3-Coder's AI model to improve code efficiency and maintainability based on specified criteria.
Retrieve detailed information about a specific academic author using their unique author ID. Specify desired fields to access tailored insights from the Semantic Scholar Academic Graph API.
Retrieve posts from a specific author by their ID using this tool. Input the author ID and optional limit to fetch results efficiently, aiding in targeted research and analysis.
Integrates the Qwen3-Coder 30B parameter model with Claude Code through 5 specialized tools for code review, explanation, generation, bug fixing, and optimization. Optimized for 64GB RAM systems with advanced performance settings including flash attention and parallel processing.
Enables analysis of academic author networks and research collaborations by retrieving co-authors and research keywords from sources like Semantic Scholar, OpenAlex, Crossref, and Google Scholar.
An MCP server that supercharges AI assistants with powerful tools for software development, enabling research, planning, code generation, and project scaffolding through natural language interaction.