Provides AI-visibility scoring and site auditing capabilities for websites, enabling agents to check how sites appear in AI engines like ChatGPT and Perplexity, run full SEO/security audits, and monitor changes over time.
A website audit MCP server that provides free tools to check on-page SEO elements like titles, descriptions, and images across up to 20 pages, and also validates robots.txt, sitemap.xml, and llms.txt accessibility.
Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.
Find out how AI assistants and search engines talk about your brand. Ask how often ChatGPT, Perplexity and Google's AI answers mention you, where you rank, how positive those mentions are, which sites they cite, and how you compare with competitors. Your assistant can also set up and adjust the monitoring for you, showing a preview and asking before anything that deletes data or uses up your plan.
Enables Claude to directly manage the Savage in a Suit website through 31 tools for pages, events, members, testimonials, podcast episodes, and site content, with all changes logged.
Read-only MCP server that connects Claude Desktop to the publisher-side Ad Manager API so users can browse networks, saved reports, orders, and line items, and run saved reports to pull their rows into a conversation. No tool mutates data, and per-user OAuth ensures each person inherits only their existing account permissions.
Manage a tgtrack (Откуда Подписки) account from an AI agent — channels, ad-system integrations, tracking-script settings, goals and links — with no official API.
Provides eight SEO and AI-search workflows that run inside Claude and ChatGPT, covering Search Console auditing, traffic-drop diagnosis, keyword clustering, AI citation guidance, competitor gap analysis, content refresh, JSON-LD schema generation, and article drafting. Each workflow works from measured data rather than invented numbers and will push back on tactics Google's guidance says do not work.
Enables AI assistants to run live Semrush SEO analysis—keyword research, domain analytics, backlink analysis, competitor intelligence, and traffic insights—through natural language MCP tools.
This project is a Google Analytics 4 (GA4) automation server implemented as a Model Context Protocol (MCP) tool. It lets AI agents query GA4 data (reports, traffic sources, demographics, etc.) and also includes a simple connection test script.
Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.
GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.
Enables creators to analyze supplied short-form video transcripts and metadata into structured hook, retention, remix, script, content-gap, and creator-pack outputs without API keys or paid external services.
Provides access to the LinkedIn Sales Navigator API without requiring browser cookies for authentication. It enables AI assistants to interact with sales data and various utility endpoints including TV Maze and deck of cards.
A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.
MCP server that turns AI IDEs into a Feedico coupon agent, enabling natural language queries for live affiliate coupons and merchants across multiple languages.