SEO API MCP
S

SEO API MCP

The SEO Review Tools MCP Server provides advanced SEO data integration for applications and AI agents through the Model Context Protocol (MCP), supporting natural language interaction to access massive SEO data endpoints.
2 points
5.1K

What is the SEO Review Tools MCP Server?

The SEO Review Tools MCP Server is an interface service based on the Model Context Protocol (MCP) that allows AI models and applications to directly access the powerful SEO data provided by SEO Review Tools. It simplifies the interaction with the SEO API, enabling AI to call the API in natural language to obtain data.

How to use the SEO Review Tools MCP Server?

Users can start the MCP server by installing Node.js and configuring environment variables. Then, they can connect it to various AI clients such as Claude Desktop, Postman, or Copilot Studio to achieve seamless access to SEO data.

Applicable Scenarios

Suitable for AI agents, content optimization tools, search engine ranking trackers, and market analysis systems that need to quickly obtain SEO data. Particularly suitable for developers who want to embed SEO functionality into existing AI applications.

Main Features

Powerful SEO Data Access
Provides over 3.1T backlinks, 7B keywords, and 560M+ crawled SERP data to help AI obtain comprehensive SEO information.
Multi - platform Compatibility
Supports multiple MCP clients, including Claude Desktop, Visual Studio Code, Copilot Studio, etc., to meet the usage needs of different users.
Easy to Integrate
Simply configure to connect the MCP server to an AI agent or application without complex development work.
Advantages
Provides rich SEO data for in - depth AI analysis
Supports multiple AI tools to improve development efficiency
Limitations
Requires a certain technical foundation to configure and run the server
Some advanced features may require a paid subscription

How to Use

Install Dependencies
Ensure that Node.js (recommended v20+) is installed on your device, and then run `npm install` in the project directory to install all dependencies.
Configure API Key
Register on the SEO Review Tools official website to obtain an API key and add it to the `.env` file.
Start the MCP Server
Run `node mcpServer.js` in the terminal to start the MCP server.
Connect to an AI Client
Configure the MCP server path according to the instructions of the AI client you are using (such as Claude Desktop or Postman).

Usage Examples

Analyze Website SEO Health
After connecting the MCP server to an AI agent, enter the prompt 'Analyze the SEO health of example.com', and the AI will automatically call the relevant API to obtain data and generate a report.
Track Keyword Ranking Changes
Users can enter the prompt 'Check the daily ranking changes of 'Artificial Intelligence SEO'', and the AI will call the SERP API to obtain real - time data and display a trend chart.

Frequently Asked Questions

Does the MCP server need to run continuously?
On which platforms can I use the MCP server?
What should I do if the API request fails?

Related Resources

SEO Review Tools Official Website
Learn about all products and services of SEO Review Tools
MCP Protocol Official Documentation
Learn the technical details and implementation methods of the Model Context Protocol (MCP)
SEO Review Tools API Documentation
View the specific parameters and usage methods of each SEO API
Node.js Official Documentation
Learn about the installation and usage methods of Node.js

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "<server_name>": {
      "command": "<absolute/path/to/node>",
      "args": ["<absolute/path/to/mcpServer.js>"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP Agent Mail
MCP Agent Mail is a mail - based coordination layer designed for AI programming agents, providing identity management, message sending and receiving, file reservation, and search functions, supporting asynchronous collaboration and conflict avoidance among multiple agents.
Python
4.4K
5 points
K
Klavis
Klavis AI is an open-source project that provides a simple and easy-to-use MCP (Model Context Protocol) service on Slack, Discord, and Web platforms. It includes various functions such as report generation, YouTube tools, and document conversion, supporting non-technical users and developers to use AI workflows.
TypeScript
10.1K
5 points
M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
10.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
6.2K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
6.1K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
8.7K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
15.5K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
26.3K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
49.2K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.9K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
48.8K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
21.6K
5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
16.7K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
32.8K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase