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Monitor website changes and trigger automated follow-up workflows via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-watched" yet — see the docs or source repo.
Use mcp-watched to monitor this competitor pricing page for changes: https://example.com/pricing. Check once daily, and if titles, prices, or plan descriptions change, return a change summary with timestamps.
A change log showing detection time, exact modifications, and a concise summary.
Use mcp-watched to watch this API documentation page: https://example.com/docs/api. When new parameters are added, example code changes, or release notes are updated, list the differences and label their severity.
A structured diff report showing which documentation content was added, removed, or changed.
Using mcp-watched, design an automation workflow that monitors https://example.com/status and https://example.com/blog. Once a change is detected, compile a summary and generate a team-ready notification message.
A monitoring-and-notification workflow plan plus a ready-to-send update summary for the team.
Monitor website changes with AI insights, search, source management, and automation.
Monitor web page changes and alert AI assistants when content updates occur.
Expose website JavaScript functions as MCP tools for AI browser interaction.
Fetch, scrape, monitor, and interact with web pages efficiently.
Safely fetch web pages, extract readable text, and metadata.
Fetch news articles from Google Alerts with browser-like workflows.