CSV Editor

Instructions

Implementation Reference

• src/csv_editor/tools/io_operations.py:408-438 (handler)

  The primary handler function for the 'list_sessions' tool. It retrieves active sessions from the session manager and returns them in a standardized format with success/error handling.
  async def list_sessions(ctx: Context = None) -> Dict[str, Any]: """List all active sessions. Args: ctx: FastMCP context Returns: List of active sessions """ try: session_manager = get_session_manager() sessions = session_manager.list_sessions() if ctx: await ctx.info(f"Found {len(sessions)} active sessions") return { "success": True, "message": f"Found {len(sessions)} active sessions", "sessions": [s.model_dump() for s in sessions] } except Exception as e: if ctx: await ctx.error(f"Failed to list sessions: {str(e)}") return { "success": False, "message": "Failed to list sessions", "error": str(e) }
• src/csv_editor/server.py:169-173 (registration)

  MCP tool registration for 'list_sessions' using the @mcp.tool decorator. This wrapper delegates to the implementation in io_operations.py.
  @mcp.tool async def list_sessions(ctx: Context = None) -> Dict[str, Any]: """List all active sessions.""" return await _list_sessions(ctx)
• src/csv_editor/server.py:98-106 (registration)

  Import statement that brings in the 'list_sessions' implementation from io_operations.py, aliased for use in the server registration.
  from .tools.io_operations import ( load_csv as _load_csv, load_csv_from_url as _load_csv_from_url, load_csv_from_content as _load_csv_from_content, export_csv as _export_csv, get_session_info as _get_session_info, list_sessions as _list_sessions, close_session as _close_session )
• src/csv_editor/models/csv_session.py:396-399 (helper)

  SessionManager helper method that performs the core logic of listing active sessions after cleanup, returning SessionInfo objects.
  def list_sessions(self) -> List[SessionInfo]: """List all active sessions.""" self._cleanup_expired() return [session.get_info() for session in self.sessions.values() if session.df is not None]