Frequently Asked Questions (FAQ) about MCP Server

Q: What is the MCP Server?

A: The MCP Server is an application designed for SEO automation and AI-powered optimization. It integrates with the Google Ads API to provide features like keyword research, SERP analysis, and competitor analysis.

Q: What are the prerequisites for using the MCP Server?

A: You need Node.js (v14 or higher), npm or yarn, a Google Ads account with API access, and a Google Cloud Platform project with the Google Ads API enabled.

Q: How do I set up the MCP Server?

A: The setup involves cloning the repository, installing dependencies, configuring environment variables with your Google Ads API credentials, obtaining a refresh token, and starting the server.

Q: How do I get a Google Ads API refresh token?

A: Run the command npm run get-token. This will open your browser and guide you through the OAuth2 authentication process, saving the refresh token to your .env file.

Q: Where can I find the API documentation?

A: The API documentation is available at /api-docs when the server is running (e.g., http://localhost:3000/api-docs).

Q: What is MCP integration, and how does it work with the MCP Server?

A: MCP (Model Context Protocol) integration allows AI assistants to use the MCP Server’s API. The MCP configuration is in the mcp.json file, enabling AI models to access and interact with the server’s functionalities.

Q: How can I use the MCP Server with Smithery?

A: In Smithery, create a new MCP server, select the app-seo-ai repository, configure the server settings, and deploy the server.

Q: What MCP tools are available?

A: Available MCP tools include research_keywords, analyze_serp, analyze_competitors, and _health (health check endpoint).

Q: Can you provide examples of how to use the API?

A: Yes, the documentation provides examples for researching keywords, analyzing SERPs, and analyzing competitors using fetch requests in JavaScript.

Q: What is the license for the MCP Server?

A: The MCP Server is licensed under the MIT License.

Q: How does MCP Server benefit UBOS users?

A: MCP Server integrates seamlessly within the UBOS ecosystem, allowing users to orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents for specific SEO needs. UBOS simplifies the deployment and scaling of MCP Server, enhancing its overall effectiveness for UBOS users.

Q: What kind of SEO tasks can be automated with MCP Server and UBOS?

A: Tasks such as keyword research, SERP ranking monitoring, and content idea generation can be automated by integrating MCP Server with AI Agents on the UBOS platform, streamlining the entire SEO workflow.