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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.
Turn simple ideas into production-ready software using 8 coordinated AI agents.
Orchestrate multiple AI agents in real time and monitor tasks and artifacts.
Manage Git tasks, agent templates, and project utilities more efficiently.