multi-flow

You can run parallel multi-agent workflows without creating issues or PRs by using an MCP orchestration skill to execute concurrent tasks, manage branches, and monitor status dashboards without automatic commits.

MCP parallel execution is a task orchestration mechanism that splits complex tasks, like feature rewrites or refactors, into concurrent worker tasks across multiple agents to reduce overall delivery time.

Distribute tasks across multiple agents by triggering an MCP multi-flow process with your task description and repository root, which handles task decomposition, workspace initialization, and role-based distribution.

Yes, setting up a multi-agent workspace requires explicit MCP prerequisites to initialize the environment, coordinate owner, admin, and worker roles, and ensure safe handoffs during parallel execution.

Yes, you can coordinate parallel branch management without automatic commits using an MCP flow that governs worker autonomy, reports progress, and ensures safe handoffs without triggering unintended repository artifacts.

The best way to monitor status across concurrent multi-agent tasks is using an MCP orchestration flow that provides status dashboards, tracks task distribution, and reports progress across owner, admin, and worker roles.