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Coordinate specialized AI agents for software development, review, testing, and task tracking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agent-mcp" yet — see the docs or source repo.
Use the Architect, Developer, Reviewer, and Tester agents to break down this project: build a SaaS user system with email login, password reset, and an admin dashboard. Output architecture recommendations, task list, dependencies, and milestones.
A multi-agent development plan with architecture, task breakdown, priorities, and milestones.
Have the Developer analyze this commit, the Reviewer perform a code review, and the Tester design regression tests. Focus on security, maintainability, and potential bugs, then provide a list of recommended fixes.
A structured review report with issues, risk levels, test suggestions, and fix recommendations.
Use multiple agents to implement a file upload feature for an existing web app: first design the solution, then generate code change suggestions, related file operation steps, test cases, and a final acceptance checklist.
A complete collaborative output from design to implementation and testing, ready to guide development.
Coordinate multiple AI agents on software projects with shared tasks and context.
Get intelligent, context-aware code reviews and improvement suggestions with MCP.
Enable AI coding agents to communicate, share state, and coordinate work in real time.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Manage Git tasks, agent templates, and project utilities more efficiently.
Enable AI agents to communicate, route messages, and collaborate through MCP.