Analyze code, collect code assets, and generate technical documentation automatically.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Neurolora" yet — see the docs or source repo.
Please analyze this code repository’s overall structure, explain the responsibilities of core modules and key dependencies, and identify parts that may need refactoring.
A code structure analysis summary with module descriptions, dependencies, and refactoring suggestions.
Please collect code snippets related to user authentication in the project, organize them by file path, and briefly explain what each snippet does.
An organized list of authentication-related code snippets by path with functional explanations.
Based on the current project code, generate technical documentation including a project overview, main interfaces, key workflows, and deployment notes.
A clearly structured technical documentation draft for team reference and maintenance.
Build, debug, and manage software tasks with natural language across LLMs.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Help AI agents navigate, search, and understand codebases and change history.
Provide AI agents with developer utilities like code review, JSON formatting, and password generation.
Analyze code structure and Git history while drastically reducing AI token usage.
Demo MCP server for calculations, time checks, notes, and code review prompts.