DataForSEO MCP Server
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Alternatives to DataForSEO MCP Server
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AlicenseBqualityBmaintenanceA Model Context Protocol server that enables Claude to interact with DataForSEO APIs, allowing access to SEO data including SERPs, keyword research, on-page metrics, and domain analytics.179,164 npm247Apache 2.0- AlicenseNot gradedqualityDmaintenanceA stdio-based server that enables interaction with the DataForSEO API through the Model Context Protocol, allowing users to fetch SEO data including search results, keywords data, backlinks, on-page analysis, and more.4 npm7MIT

FetchSERP MCP Serverofficial
-licenseCqualityNot gradedmaintenanceA Model Context Protocol server that provides AI assistants with access to FetchSERP API capabilities for SEO analysis, SERP data, web scraping, and keyword research.2319 npm19-- AlicenseNot gradedqualityCmaintenanceModel Context Protocol server for SignalSumo that lets Claude, Cursor, and other MCP-compatible clients read SEO data, run technical audits, research keywords, and check backlink profiles through natural-language tool calls.6 npmMIT
- AlicenseBqualityAmaintenanceModel Context Protocol (MCP) server that provides AI agents with access to Google Search Console data.25842 npm293MIT
- AlicenseNot gradedqualityDmaintenanceModel Context Protocol server that enables AI assistants to perform keyword research, SEO analysis, and content planning through natural language queries against kwrds.ai's SEO tools.7Apache 2.0
TDQS
Scored across 89 tools
Most tools have distinct purposes with detailed descriptions. However, some close pairs exist (e.g., keyword suggestions vs. ideas; backlinks_referring_domains vs bulk variant), but descriptions help agents differentiate.
Within each category (e.g., backlinks_, dataforseo_labs_google_) naming is fairly consistent, but across categories there is mixing of prefixes (kw_data vs dataforseo_labs) and inconsistent abbreviations (opt vs optimization), reducing overall predictability.
89 tools is very high for an SEO API. While each tool serves a specific need, many could be consolidated into parameterized endpoints (e.g., bulk vs single). The volume may overwhelm agents and increase selection difficulty.
The toolset covers a broad range of SEO data: keyword research, backlinks, SERP (multiple engines), business listings, on-page analysis, domain intelligence, content analysis, and Amazon merchant data. Few obvious gaps exist for the stated domain.