Serena MCP Server

Semantic code understanding with project memory and session persistence.

Required First Step

ALWAYS activate project before any Serena operation:

mcp__serena__activate_project(project: "<path_or_name>")
mcp__serena__check_onboarding_performed()

When to Use Serena

Core Tools

Project Lifecycle

• activate_project → REQUIRED FIRST – activate target project
• get_current_config → check active project and available tools
• check_onboarding_performed → verify project is ready
• onboarding → run if onboarding not yet performed

Symbol Operations

• find_symbol → locate symbols by name path pattern
• find_referencing_symbols → find all references to a symbol
• get_symbols_overview → high-level view of file symbols
• rename_symbol → rename across entire codebase
• replace_symbol_body → replace symbol definition
• insert_before_symbol / insert_after_symbol → add code around symbols

Search & Navigation

• search_for_pattern → regex search across codebase
• list_dir → list directory contents
• find_file → find files by mask

Memory Management

• write_memory → persist information for future sessions
• read_memory → retrieve stored information
• list_memories → show available memories
• edit_memory / delete_memory → modify or remove memories

Reflection (Call These!)

• think_about_collected_information → after search operations
• think_about_task_adherence → before code modifications
• think_about_whether_you_are_done → at task completion

Tool Details

See references/tools.md for detailed parameter documentation.

Workflow Patterns

Session Start

1. activate_project(project: "path/to/project")
2. check_onboarding_performed()
3. list_memories() → check existing context
4. read_memory("relevant_memory") → if applicable

Symbol Investigation

1. get_symbols_overview(relative_path: "file.py", depth: 1)
2. find_symbol(name_path_pattern: "ClassName", include_body: false)
3. find_symbol(name_path_pattern: "ClassName/method", include_body: true)
4. think_about_collected_information()

Symbol Modification

1. find_symbol(name_path_pattern: "target", include_body: true)
2. think_about_task_adherence()
3. replace_symbol_body(name_path: "target", relative_path: "file.py", body: "new code")

Cross-Session Persistence

1. write_memory("task_context", "important findings...")
2. [end session]
3. [new session]
4. activate_project(...)
5. list_memories()
6. read_memory("task_context")

Name Path Patterns

Best Practices

1. Activate first – Always activate_project before operations
2. Read before edit – Use find_symbol with include_body: true before modifications
3. Use reflection tools – Call think_about_* tools at appropriate points
4. Prefer symbolic over text – Use symbol tools over grep/edit when possible
5. Persist important context – Use memory for cross-session continuity