A comprehensive stdio MCP server for DataForSEO API
{
"mcpServers": {
"dataforseo-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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A comprehensive stdio MCP server for DataForSEO API
Is it safe?
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No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 41 days ago. 73 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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A comprehensive stdio MCP (Model Context Protocol) server for SEO APIs. This server allows LLMs (Large Language Models) to interact with DataForSEO API functions and other SEO tools.
The SEO Tools MCP Server enables seamless integration between LLMs like Claude and various SEO APIs, making it possible to perform SEO analysis, keyword research, backlink analysis, and many other SEO-related tasks directly through natural language interactions.
This implementation exposes all major DataForSEO API endpoints as MCP tools, which LLMs can call to retrieve specific SEO data. The server uses stdio as its transport layer, making it easy to integrate with various LLM platforms.
https://dataforseo.com/?aff=200885
# Clone the repository
git clone https://github.com/Skobyn/dataforseo-mcp-server.git
# Change to the project directory
cd dataforseo-mcp-server
# Install dependencies
npm install
# Build the project
npm run build
To use this MCP server, you need API credentials for the services you want to use.
# Set environment variables for DataForSEO authentication
export DATAFORSEO_LOGIN="your_login"
export DATAFORSEO_PASSWORD="your_password"
# Run the server
npm start
# Set environment variables for all API authentications
export DATAFORSEO_LOGIN="your_login"
export DATAFORSEO_PASSWORD="your_password"
export LOCALFALCON_API_KEY="your_localfalcon_api_key"
# Optional: Set custom Local Falcon API URL if needed
# export LOCALFALCON_API_URL="https://custom-localfalcon-url.com/api"
# Run the server
npm start