"Designing UI (User Interfaces)" matching MCP servers:

Transforms basic interface ideas into comprehensive, professional-grade UI/UX design specifications with detailed styling, animations, components, and accessibility requirements for websites, apps, and other digital interfaces.

Provides tools for managing pharmacy accounts, user information, and campaigns via a local MCP server that interfaces with the EDB API.

MCP server for Majico.xyz that enables coding agents to read (and limited write) brand guidelines, design tokens, studio canvas, and export manifests.

Python MCP server that exposes Meta Marketing API data, providing tools to manage ad accounts, campaigns, and analytics through natural language interfaces.

Enables LLMs to interact with the Google Ads API to retrieve account information, list accessible customers, and query campaign performance. It allows users to manage and analyze Google Ads data through natural language interfaces.

Enables Claude Desktop to interact with MailInApp projects, campaigns, and contacts. Allows designing and reading interactive email results with explicit confirmation for sending real campaigns.

Provides access to pharmaceutical management system APIs including user authentication, pharmacy account management, and advertising campaign controls. Enables querying pharmacy information, updating account details, and managing ad blocking through natural language interactions.

Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.

Provides TikTok trend data to AI assistants, including hashtag volume, growth rates, and top trending topics for early trend detection.

Tri-channel AdsAgent plugin (Meta, Google Ads, TikTok): hosted OAuth MCP at adsagent.md plus agent skills for insights, templates, and prepare/confirm writes. Install via adsagents/adsagent-ai-skills. Meta MCP: https://adsagent.md/mcp/v2. Registry: md.adsagent/meta-mcp.

Lets any AI agent audit any website for SEO, GEO/AEO, and speed problems, reporting issues and recommendations without modifying the site.

Lets MCP clients answer questions about website traffic using Plausible Analytics Stats API v2 through read-only tools for totals, trends, breakdowns, and realtime visitors.

MCP server that turns articles, transcripts, and markdown into LinkedIn carousel PDFs, Instagram PNGs, and Threads PNGs. Content in, slides out. No web UI, no cloud service.

Connects Google Analytics 4 data to Claude, Cursor and other MCP clients, enabling natural language queries of website traffic, user behavior, and analytics data with access to 200+ GA4 dimensions and metrics.

Giggal.ai is an email verification tool that runs a deep mailbox existence check on every address and verifies catch-all/accept-all and even SEG protected emails. Your bounce rate stays under 5%, and the 30% of every B2B list that other tools flag as "Risky" becomes deliverable again.

Enables natural language queries to Yandex Metrika analytics, allowing users to ask questions about traffic, sources, and user behavior without dashboards or SQL.

placement for the depractaed Amazon Product Advertising endpoint. You ask Claude to find something, it searches the live Amazon catalogue, and it hands you back a finished HTML card - image, price, savings, star rating, your Associates tag already baked into the link, and the disclosure footer Amazon requires, by Houtini

Marketing Analytics AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Lets an MCP client check whether an ecommerce store can be read by AI assistants, auditing robots.txt to see which AI search versus training crawlers are blocked and sampling product pages to confirm structured data and facts survive in raw HTML without JavaScript. It can also generate a training-only opt-out robots.txt that leaves answer-engine crawlers allowed, all inside the conversation the user is already in.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.