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FAQ

Q: What is the MCP Server used for?

A: The MCP Server is used to enable AI models to perform Google searches and analyze webpage content programmatically, enhancing their ability to access and process external data sources.

Q: How does the MCP Server integrate with VS Code and Cline?

A: The MCP Server is built for seamless integration with VS Code and Cline, allowing developers to utilize its advanced search and content extraction features directly within their development environment.

Q: What are the prerequisites for setting up the MCP Server?

A: To set up the MCP Server, you need Node.js (v16 or higher), Python (v3.8 or higher), a Google Cloud Platform account, a Custom Search Engine ID, and a Google API Key.

Q: Can the MCP Server handle batch webpage analysis?

A: Yes, the MCP Server supports batch webpage analysis, allowing users to compare multiple sources and gather comprehensive data efficiently.

Q: How does the MCP Server handle errors?

A: The MCP Server provides detailed error messages for issues such as missing or invalid API credentials, failed search requests, invalid webpage URLs, and network connectivity problems.

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