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Orchestrate Google Jules for remote coding, review, monitoring, and PR merging.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Jules MCP Server" yet — see the docs or source repo.
Break down “add a user authorization middleware to an existing Node.js service” into executable subtasks, call Google Jules to implement them step by step, commit changes, and summarize status and risks for each step.
A task breakdown, execution progress, code change summary, and potential risk notes.
Continuously monitor Google Jules while it works on “fix the payment callback retry logic”; if tests fail or changes go beyond the specified directory, pause immediately and ask me to review.
Live status updates, exception alerts, pause points, and specific items requiring human decisions.
Review the PR generated by Google Jules for style, consistency, test results, and potential defects; merge it automatically if it passes, otherwise provide revision feedback.
A review verdict, issue list, merge decision, or actionable revision suggestions.
Connect local AI coding agents to chat, delegate, and collaborate privately.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.
Aggregate coding plan services for code review, plan review, and AI coding dialogue.
Help AI agents navigate, search, and understand codebases and change history.
Provide AI agents with coding standards, testing, planning, and requirements guidance.
Connect to Jupyter via MCP to run code and explore data interactively.