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What is the primary function of the MCP Server?

The MCP Server standardizes the interaction between applications and large language models (LLMs), allowing AI models to access and interact with external data sources and tools.

How does the MCP Server enhance AI agent capabilities?

The MCP Server enhances AI agent capabilities by providing a standardized protocol for accessing web data and interacting with LLMs, making AI agents more efficient and effective.

What browsers are supported by the MCP Server?

The MCP Server allows users to utilize their own browser, supporting custom browser use and high-definition screen recording.

Can I keep the browser session open between AI tasks?

Yes, the MCP Server offers the option to maintain persistent browser sessions, allowing users to view the complete history and state of AI interactions.

What LLMs does the MCP Server support?

The MCP Server supports various LLMs, including Gemini, OpenAI, Azure OpenAI, Anthropic, DeepSeek, and Ollama, with plans to add more models in the future.

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