AlsoAsked
This MCP server provides access to Google's "People Also Ask" data through the AlsoAsked API, enabling AI assistants to perform SEO research and content optimization by retrieving hierarchical PAA question data for any search terms. Built by Metehan Yesilyurt using TypeScript with the Model Context Protocol SDK, it offers tools for searching PAA questions with configurable language, region, depth, and freshness parameters, checking account credits and API usage, and retrieving structured question hierarchies with metadata including total question counts and search summaries. The implementation requires an AlsoAsked Pro API key and formats results into clean JSON structures with question levels and child relationships, making it valuable for SEO professionals conducting keyword research, content creators identifying trending questions in their niche, and marketers analyzing search intent across different geographic regions and languages.
I/O
heuristic · beta该 skill 无 npm 包，暂用描述启发式推断 I/O；接入后可实测。
综合分
效果测评卡
进行中 · 待运行真实 I/O 已解决「输入输出是什么」；下一步接 agent 真跑，量化「效果好不好」。
The DataForSEO MCP server provides AI assistants with direct access to DataForSEO's SEO and marketing analytics APIs. Built with TypeScript, it exposes tools across four main modules: SERP for search engine results, Keywords Data for keyword research, OnPage for content analysis, and DataForSEO Labs for competitive research and market analysis. The server handles authentication with the DataForSEO API, implements field filtering for focused data retrieval, and follows a modular architecture that makes it easy to extend with additional tools. This implementation is particularly valuable for digital marketers and SEO professionals who need to analyze search rankings, research keywords, evaluate competitors, and optimize content without leaving their AI assistant conversation.
This MCP server integrates Google Lighthouse web performance auditing capabilities, built by Daniel Sogl to provide automated website performance, accessibility, SEO, and best practices analysis through the Lighthouse testing framework. The implementation enables programmatic execution of Lighthouse audits against web pages, returning detailed performance metrics, optimization recommendations, and compliance scores that can be used for continuous monitoring, automated testing pipelines, or bulk website analysis workflows.
AI SEO is a free, open-source MCP server by AutomateLab that audits web pages across 13 dimensions for AI citation eligibility. It evaluates schema validation, robots.txt compliance, llms.txt standards, entity density, and technical metadata to score how likely AI assistants such as ChatGPT, Perplexity, and Claude are to cite a given page. The server requires no API keys or registration and runs fully locally.