Frequently Asked Questions about MCP Server for SEO Automation

Q: What is the MCP Server? A: The MCP Server is an application designed for SEO automation and AI-powered optimization, leveraging the Google Ads Keyword Planner API and Model Context Protocol (MCP).

Q: What features does the MCP Server offer? A: The MCP Server provides keyword research using the Google Ads API, SERP analysis, competitor analysis, SEO recommendations, and MCP integration for AI assistants.

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 install the MCP Server? A: Clone the repository from GitHub, install dependencies using npm install, configure environment variables in the .env file, and start the server using npm run dev (for development) or npm start (for production).

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. The refresh token will be automatically saved to your .env file.

Q: Where can I find the API documentation? A: 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? A: MCP (Model Context Protocol) integration allows AI assistants to use the API. The MCP configuration is in the mcp.json file. You can use it with platforms like Smithery to create MCP servers.

Q: What are the available MCP tools? A: The available MCP tools include research_keywords, analyze_serp, analyze_competitors, and _health (health check endpoint).

Q: Can you provide an example of how to research keywords using the API? A: You can use a fetch request like this: fetch('http://localhost:3000/api/keywords/ideas?keyword=seo%20tools&language=en')

Q: How can I analyze a SERP using the API? A: Use a fetch request like this: fetch('http://localhost:3000/api/serp/analyze?query=best%20seo%20tools&location=United%20States')

Q: Is it possible to analyze competitors with this server? A: Yes, you can use a fetch request like this: fetch('http://localhost:3000/api/competitors/analyze?domain=example.com')

Q: What license is the MCP Server released under? A: The MCP Server is released under the MIT license.

Q: How does the MCP Server help with SEO automation? A: It automates tasks like keyword research, SERP analysis, and competitor analysis, providing AI-powered recommendations to improve search engine rankings.

Q: How does the MCP server integrate with UBOS? A: The MCP server can be integrated into UBOS as an asset. By using the Model Context Protocol (MCP), UBOS can interact with the server as well.