SE Ranking MCP Server

This Model Context Protocol (MCP) server connects AI assistants to SE Ranking's SEO data and project management APIs. It enables natural language queries for:

• Keyword research and competitive analysis
• Backlink analysis and monitoring
• Domain traffic and ranking insights
• Website audits and technical SEO
• AI search visibility tracking
• Project and rank tracking management

Prerequisites

Before you begin, please ensure you have the following software and accounts ready:

• SE Ranking Account: You will need an active SE Ranking account to generate an API token. If you don’t have one, you can sign up here.
• Docker: A platform for developing, shipping, and running applications in containers. If you don’t have it, you can download it from the official Docker website.
• Git: A free and open-source distributed version control system. You can download it from the official Git website.
• AI Assistant: You will need an MCP-compatible client, such as Claude Desktop or the Gemini CLI.

API Tokens

This MCP server supports two types of API access:

Get your tokens from: https://online.seranking.com/admin.api.dashboard.html

You can use one or both tokens depending on which tools you need. If you only use Data API tools, you can omit PROJECT_API_TOKEN, and vice versa.

Rate Limits

Rate limits are customizable. Contact api@seranking.com to request adjustments.

Installation

Choose the installation method that best fits your needs:

• Option 1: Docker (Recommended) - Best for standard usage, stability, and ease of updates. Use this if you just want to run the tool without managing dependencies.
• Option 2: Local Node.js Server (For Developers) - Best for development, debugging, or environments where Docker isn't available (like Replit). Use this if you need to modify the code or run a custom setup.

Option 1: Docker (Recommended)

1. Open your terminal (or Command Prompt/PowerShell on Windows).
2. Clone the project repository from GitHub:

git clone https://github.com/seranking/seo-data-api-mcp-server.git

1. Navigate into the new directory:

cd seo-data-api-mcp-server

1. Build the Docker Image:

docker build -t se-ranking/seo-data-api-mcp-server .
# Check that the image is built and named `se-ranking/seo-data-api-mcp-server`:
docker image ls

How to Update SEO-MCP (Docker)

To ensure you have the latest features, pull the latest changes and rebuild:

git pull origin main
docker build -t se-ranking/seo-data-api-mcp-server .

Option 2: Local Node.js Server (For Developers)

In order to run the local Node server, you need to have Node.js 20+ version installed on your machine.

1. Install dependencies:

npm install

1. Build the project:

npm run build

1. Start the server:

npm run start-http

Then your HTTP server should be running at: http://0.0.0.0:5000/mcp.

In case you'd like to modify the HOST and PORT, you can do so by creating a .env file in the root directory of the project with the settings you want to override, for example:

HOST=127.0.0.1
PORT=5555

Additionally, when running in external environments like Replit, you can set the DATA_API_TOKEN and PROJECT_API_TOKEN environment variables in the configuration panel.

Note: If you change the API token values when the server is running, you need to restart the server.

Verifying the HTTP Server

To send a sample test request and verify your setup:

./test-http-server-curl-request.sh '<your-api-token-here>'

For batch MCP Requests testing:

./test-batch-http-server-curl-request.sh '<your-api-token-here>'

Connect to Claude Desktop

Claude Desktop reads its configuration from claude_desktop_config.json.

• Click on the Claude menu and select Settings....
• In the Settings window, navigate to the Developer tab in the left sidebar.
• Click the Edit Config button to open the configuration file. This action creates a new configuration file if one doesn’t exist or opens your existing configuration.

The file is located at:

• macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
• Windows: %AppData%\Claude\claude_desktop_config.json
• Linux: ~/.config/Claude/claude_desktop_config.json

Example of Claude Desktop configuration for MCP server

<b>JSON Configuration Template</b>:

{
  "mcpServers": {
    "seo-data-api-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATA_API_TOKEN",
        "-e",
        "PROJECT_API_TOKEN",
        "se-ranking/seo-data-api-mcp-server"
      ],
      "env": {
        "DATA_API_TOKEN": "<your-data-api-token-here>",
        "PROJECT_API_TOKEN": "<your-project-api-token-here>"
      }
    }
  }
}

• Replace the DATA_API_TOKEN and PROJECT_API_TOKEN placeholder values with your tokens (see API Tokens section).

• After saving claude_desktop_config.json, restart Claude Desktop. You should see the server under MCP Servers/Tools.

• To verify the setup, ask Claude: Do you have access to MCP? It should respond by listing seo-data-api-mcp.

• Your setup is complete! You can now run complex SEO queries using natural language.

Connect to Gemini CLI

• Open the Gemini CLI settings file, which is typically located at: ~/.gemini/settings.json
• Add the following JSON configuration, making sure to replace the API token placeholder values.

{
  "mcpServers": {
    "seo-data-api-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "DATA_API_TOKEN",
        "-e",
        "PROJECT_API_TOKEN",
        "se-ranking/seo-data-api-mcp-server"
      ],
      "env": {
        "DATA_API_TOKEN": "<your-data-api-token-here>",
        "PROJECT_API_TOKEN": "<your-project-api-token-here>"
      }
    }
  }
}

Replace the DATA_API_TOKEN and PROJECT_API_TOKEN placeholder values with your tokens (see API Tokens section).

• Save the configuration file.

• To verify the setup, launch the Gemini CLI by running gemini in your terminal. Once the interface is active, press Ctrl+T to view the available MCP servers. Ensure seo-data-api-mcp is listed.

• Your setup is complete! You can now run complex SEO queries using natural language.

Available Tools

Data API Tools

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