serena-mcp

The Serena MCP skill is a specialized framework designed to enhance code analysis, navigation, and refactoring tasks when working within the Claude Code environment. By leveraging Serena's semantic analysis capabilities, this skill replaces standard text-based tools like Grep or Glob with more precise symbol-aware alternatives, significantly reducing token consumption and improving the accuracy of complex codebases. It is intended for software engineers and developers who need persistent project context and efficient code exploration across multiple sessions.

• Enables semantic symbol discovery through find_symbol and find_referencing_symbols, moving beyond simple pattern matching.

• Automates code navigation by providing a mapping between Serena's advanced tools (e.g., get_symbols_overview, rename_symbol) and standard fallbacks.

• Maintains project-specific knowledge in a dedicated memory store within the .serena/memories/ directory, facilitating consistent context across development sessions.

• Simplifies project onboarding by integrating check_onboarding_performed and automated memory population for new repositories.

• Provides intelligent code insertion and replacement tools like replace_symbol_body, insert_after_symbol, and insert_before_symbol for high-precision refactoring.

• This skill is triggered automatically when a Serena MCP connection is established; otherwise, it defaults to standard built-in tools like Edit, Read, and Grep.

• Use write_memory, read_memory, and list_memories to manage critical design decisions, project patterns, and persistent state throughout the lifecycle of a task.

• Ideal for large-scale C/C++, Go, Rust, C#, and Python projects where traditional text searching is insufficient or inefficient.

• Adheres to context engineering principles, ensuring that only necessary information is surfaced to the LLM to minimize noise and improve reasoning capabilities.

• Follows strict operational constraints: keep memory management disciplined, ensure consistent use of fallback methods when disconnected, and leverage session-persistent context to avoid redundant analysis.