DataForSEO MCP Server
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- AlicenseNot gradedqualityCmaintenanceA production-ready MCP server that gives Claude access to the entire DataForSEO API v3 through 51 tools, covering SERP, Labs, Keywords, Backlinks, OnPage, Business, and more, with cost controls and response normalization.8,096 npmApache 2.0

DataForSEO MCP Serverofficial
AlicenseBqualityBmaintenanceModel Context Protocol (MCP) server implementation for DataForSEO, enabling AI assistants to interact with selected DataForSEO APIs and obtain SEO data through a standardized interface.898,096 npmApache 2.0- -licenseCqualityNot gradedmaintenanceA Model Context Protocol server that exposes Haloscan SEO API functionality, allowing users to access keyword insights, domain analysis, and competitor research through Claude for Desktop and other MCP-compatible clients.32880 npm-
- 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
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FetchSERP MCP Serverofficial
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TDQS
Scored across 17 tools
Most tools have distinct purposes across keyword data, on-page analysis, and SERP categories, with clear separation between Google Ads, Google Trends, and YouTube-specific tools. However, some overlap exists between kw_data_dfs_trends_explore and kw_data_google_trends_explore, both providing keyword popularity data from different sources, which could cause minor confusion.
The naming follows a consistent snake_case pattern with clear prefixes (kw_data_, on_page_, serp_) that group related tools logically. Minor inconsistencies include variations like 'availible' vs 'available' in descriptions and some utility tools having simpler names (e.g., serp_locations), but the overall structure is predictable and readable.
With 17 tools, the count is slightly high but reasonable for a comprehensive SEO data server covering keyword trends, on-page analysis, and SERP data across multiple platforms. It avoids being overwhelming by grouping tools into clear categories, though it borders on the upper limit of typical scoping.
The toolset provides thorough coverage for SEO analysis, including keyword research (volume, trends, demographics), on-page optimization (content parsing, Lighthouse metrics), and SERP data (organic results, YouTube video details, comments, subtitles). Utility tools for locations ensure no dead ends, and the surface supports end-to-end workflows without obvious gaps.