Frequently Asked Questions

Q: What is an MCP Server? A: An MCP (Model Context Protocol) server acts as a bridge, enabling AI models to access and interact with external data sources and tools. In this case, it provides access to Google Search Console data.

Q: What is the Model Context Protocol (MCP)? A: MCP is an open protocol that standardizes how applications provide context to LLMs, enabling them to interact with external tools and data sources in a consistent and predictable manner.

Q: What are the prerequisites for using the Google Search Console MCP Server? A: You need Node.js 18 or later, a Google Cloud Project with the Search Console API enabled, and service account credentials with Search Console access.

Q: How do I install the MCP Server? A: You can install it automatically via Smithery or manually using npm.

Q: How do I authenticate with Google Search Console? A: You need to create a service account in Google Cloud Console, enable the Search Console API, create a key in JSON format, and grant access to the service account in Google Search Console as a property administrator.

Q: What data can I retrieve from Google Search Console using this MCP server? A: You can retrieve search analytics data, including impressions, clicks, position, and CTR, with support for dimensions like query, page, country, device, and search appearance.

Q: Can I customize the reporting period? A: Yes, you can specify the start and end dates for your reports.

Q: What search types are supported? A: The MCP server supports web, image, video, and news search types.

Q: Is the MCP server open source? A: Yes, it’s licensed under the MIT license.

Q: How does this integrate with UBOS? A: The MCP Server is an asset available in the UBOS Asset Marketplace, enabling seamless integration of Google Search Console data into AI Agent workflows built on the UBOS platform.

Q: What if I encounter issues during installation or usage? A: Please refer to the contributing guidelines for assistance and to report any issues.