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Let an AI agent inspect and drive a running Next.js app.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "nextjs-agent-mcp" yet — see the docs or source repo.
Connect to the running Next.js app, inspect the /dashboard route render result, console errors, and error boundary details, then summarize likely causes and fixes.
A report with page status, error details, likely root causes, and actionable fixes.
Open the login page, complete the login flow through in-page DOM interactions, verify button states, form validation, and redirects, and record any failing steps.
An interaction test result showing whether each step passed and why any step failed.
Traverse the main routes in the app, check whether each page is reachable, detect server-side or client-side errors, and organize issues by priority.
A route audit summary with reachability, error distribution, and a prioritized issue list.
Develop, debug, and troubleshoot Next.js projects inside an AI coding agent.
Connect AI agents to control local JupyterLab for coding and analysis.
Add agentic tools with iterative reasoning and tool use to apps
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Control and inspect live Chrome for automation, debugging, and performance analysis.
Control a headless local browser for navigation, interaction, screenshots, and debugging.