Contributed to the openai/openai-agents-python repository by enhancing the MCPServer tool filtering mechanism to support static filtering without requiring agent or run_context parameters. This update, implemented in Python and focused on backend and API development, allows automation workflows to proceed with reduced configuration overhead while maintaining dynamic filtering’s dependency on agent context. The work addressed the need for greater flexibility in automated MCPServer pipelines, streamlining setup for users who rely on static tool selection. By decoupling static filtering from agent-specific requirements, the solution improved workflow efficiency and aligned with broader goals of reducing manual configuration in agent-based automation scenarios.