Name: SEO Automation and Optimization
Author: ayushsinghvi92

Question 1

What is the MCP Server?

Accepted Answer

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).

Question 2

What features does the MCP Server offer?

Accepted Answer

The MCP Server provides keyword research using the Google Ads API, SERP analysis, competitor analysis, SEO recommendations, and MCP integration for AI assistants.

Question 3

What are the prerequisites for using the MCP Server?

Accepted Answer

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.

Question 4

How do I install the MCP Server?

Accepted Answer

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).

Question 5

How do I get a Google Ads API refresh token?

Accepted Answer

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.

Question 6

Where can I find the API documentation?

Accepted Answer

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

Question 7

What is MCP integration, and how does it work?

Accepted Answer

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.

Question 8

What are the available MCP tools?

Accepted Answer

The available MCP tools include research_keywords, analyze_serp, analyze_competitors, and _health (health check endpoint).

Question 9

Can you provide an example of how to research keywords using the API?

Accepted Answer

You can use a fetch request like this: fetch('http://localhost:3000/api/keywords/ideas?keyword=seo%20tools&language=en')

Question 10

How can I analyze a SERP using the API?

Accepted Answer

Use a fetch request like this: fetch('http://localhost:3000/api/serp/analyze?query=best%20seo%20tools&location=United%20States')

Question 11

Is it possible to analyze competitors with this server?

Accepted Answer

Yes, you can use a fetch request like this: fetch('http://localhost:3000/api/competitors/analyze?domain=example.com')

Question 12

What license is the MCP Server released under?

Accepted Answer

The MCP Server is released under the MIT license.

Question 13

How does the MCP Server help with SEO automation?

Accepted Answer

It automates tasks like keyword research, SERP analysis, and competitor analysis, providing AI-powered recommendations to improve search engine rankings.

Question 14

How does the MCP server integrate with UBOS?

Accepted Answer

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.

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