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Manage multiple AI CLI agents in tmux for parallel task execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "multi-agent-mcp" yet — see the docs or source repo.
Use multi-agent-mcp to launch 3 AI CLI sessions: one to refactor the auth module, one to add tests for the payment API, and one to review whether the README needs updates. Summarize progress for each.
A task split across parallel agents, progress summaries for each session, and suggested next steps.
Use multi-agent-mcp with git worktrees to create separate workspaces for bug fixing, performance optimization, and log cleanup, then have three agents work on them simultaneously.
Created worktrees and agent sessions, execution status for each task, and outputs ready for later merging.
Use multi-agent-mcp to coordinate Claude Code, Codex, and Gemini at the same time: one for implementation, one for test generation, and one for solution review, then combine the results into one conclusion.
Role assignments across different AI CLIs, summaries of their outputs, and one consolidated conclusion.
Let AI safely control tmux sessions, windows, and panes for terminal automation.
Control Claude Code sessions in tmux with fine-grained orchestration and efficient extraction.
Connect multiple AI coding agents to collaborate on development tasks efficiently.
Let AI coding tools safely call Codex for development and automation tasks.
Run multiple AI CLIs in parallel with async multitasking and auto permissions.
Programmatically manage tmux sessions, windows, and panes for terminal automation.