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Enable semantic code retrieval and editing for faster AI-assisted development.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "serena" yet — see the docs or source repo.
Use semantic retrieval to analyze the parts of this repository related to user authentication. Identify the core modules, call relationships, and summarize the login flow.
A structured explanation of the authentication code, including key files, dependencies, and a flow summary.
Find all usages of the legacy logging interface in the project and refactor them to the new Logger API without changing behavior. Also provide a list of edits made.
Cross-file code edits completed, plus a change summary and list of affected locations.
Based on the error message and relevant code, retrieve the functions and data flow that may cause the null pointer exception. Explain the most likely root cause and suggest fixes.
A bug trace with relevant code paths, root cause analysis, and actionable fix suggestions.
Provides a token-efficient MCP server that cuts context usage without losing functionality.
Safely retrieve, search, and analyze repository code structure for coding agents.
Securely equips AI agents with executable tools for commands, search, and file operations.
Help AI agents navigate, search, and understand codebases and change history.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Gives AI coding agents a structural map of your repository fast.