DataForSEO
Comprehensive MCP server for real-time SEO data via natural language
Overview
DataForSEO MCP Server is a comprehensive integration that connects AI assistants like Claude to the DataForSEO API ecosystem. Instead of manually querying APIs or building custom integrations, you can perform keyword research, SERP analysis, backlink audits, and competitive analysis through natural language conversations.
Key differentiator: DataForSEO provides the most extensive SEO API coverage available through MCP—SERP data from Google, Bing, and Yahoo, keyword metrics, backlink profiles, on-page audits, and domain analytics. Over 750 SEO software companies rely on their data infrastructure.
With type-safe tools and intelligent module filtering, the MCP server optimizes LLM context usage, ensuring efficient queries even when accessing DataForSEO's vast API surface. This makes it the go-to choice for building AI-powered SEO workflows.
Key Features
Use Cases
Agency SEO Audits
- Automated technical SEO audits across client portfolios
- Competitive backlink gap analysis for link building strategies
- SERP feature tracking and opportunity identification
- White-label reporting with AI-generated insights
E-commerce Optimization
- Product keyword research with commercial intent filtering
- Category page optimization based on SERP analysis
- Competitor pricing and positioning intelligence
- Seasonal trend analysis for inventory planning
Content Marketing
- Topic cluster research with keyword difficulty analysis
- Content gap identification vs. competitors
- SERP intent analysis for content format decisions
- AI-assisted content briefs with SEO requirements
Enterprise SEO
- Multi-domain portfolio monitoring
- International SERP tracking across markets
- Brand mention and backlink monitoring at scale
- Executive dashboards with natural language queries
Considerations
- Requires paid DataForSEO API credentials for production use (sandbox available for testing)
- No full free tier—costs scale with API usage volume
- Broad API surface can overwhelm LLM context without proper module filtering
- Optional integrations (Local Falcon, content APIs) add setup complexity
- No built-in strategic alignment—executes SEO queries without organizational priorities
- Learning curve for understanding which API endpoints to use for specific tasks
