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Let AI read and control a logged-in Firefox browser via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "FoxBridge MCP" yet — see the docs or source repo.
Using FoxBridge MCP, read my current Firefox tabs, recent browsing history, and logged-in site context, then summarize what I am working on.
A summary of current tabs, browsing context, and the task in progress.
Using FoxBridge MCP, open my logged-in project management site in Firefox, go to the 'My Tasks' page, and read the tasks due today.
The navigation result and the list of tasks read from the site.
Use FoxBridge MCP to access a backend system I am currently logged into, find notifications or updates from the last week, and organize them into bullet points.
A concise summary of in-site information gathered using the existing login session.
Developers or researchers can let AI directly read tabs, history, and logged-in context from Firefox, reducing manual copy-paste from web pages.
When a task requires accessing account-only pages or performing site interactions, this tool enables AI to do so through Firefox.
For MCP-based assistants, it connects real browser capabilities to the model so the assistant can act based on browser state, not just answer questions.
It enables AI assistants, through the Model Context Protocol, to read and drive a real logged-in Firefox browser, including tabs, cookies, history, and site interactions.
Based on the description, it works with a real, logged-in Firefox browser session. For exact installation and runtime requirements, see the source repository.
It emphasizes accessing real browser state through MCP, using existing login sessions, tabs, history, and site interactions. For any additional scraping or automation features, see the source repository.
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Control a real Firefox browser for navigation, interaction, and page inspection.
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