"google ads" matching MCP servers:

This MCP server enables AI assistants to search the Google Fonts catalogue, retrieve detailed font metadata, generate live HTML text previews, and obtain embed code for use on web pages.

MCP server for searching Google Fonts and generating complete CSS/Tailwind typographic systems with font pairings and modular scales.

Automates sports editorial graphic poster creation using Google Flow through a Playwright-based pipeline, exposing a FastMCP server for integration with MCP clients.

An MCP server that supercharges AEM Edge Delivery Services development in IDEs by providing tools for scaffolding blocks, validating code, and generating configurations directly through natural language.

Enables creating, reading, and modifying Google Slides presentations programmatically via natural language through the Model Context Protocol.

An MCP server that enables AI assistants to create, read, and edit Google Slides presentations directly from chat, with 39 tools for presentations, slides, elements, and export.

Converts linear Markdown documents into styled Google Slides presentations with customizable themes and layouts.

Exposes SigmaUI Design System components to AI assistants, providing tools for component documentation, search, usage examples, and design tokens to accelerate Vue 3 and Nuxt 3 UI development.

Enables LLM agents to search, resolve and audit DTCG design tokens — finding the token behind an intent or a hard-coded color/size, checking naming grammar, auditing CSS for hard-coded or unknown tokens, arbitrating semver, and previewing token additions as JSON Patch diffs. Writes are gated behind explicit confirmation plus an opt-in flag, so every change arrives as a reviewable proposal rather than an edit.

MCP server for the Lando Labs Design System, enabling AI agents to introspect and generate code for React components, hooks, icons, design tokens, and theme presets via 15 tools.

Read-only MCP server that exposes a design system's tokens, components, conventions, and deprecations as queryable tools, enabling agents to look up canonical values, assess change impact, and detect hardcoded value drift.

An intelligent MCP server for Google Stitch that generates production-ready UI from text prompts, with auto-orchestration of design systems, WCAG accessibility, responsive breakpoints, and framework conversion (React, Vue, Svelte).

Exposes Levit design system (GDS) metadata to AI coding tools, enabling queries about color tokens and component usage via natural language.

Enables an agent, before it designs anything, to pull a short set of curated directions from award winners, editor-picked galleries, winning ads and top posts, plus live picks and deeper curations for the medium at hand. Users can then choose a reference, save links or screenshots to a personal library, and have later suggestions lean toward what they keep picking.

MCP server that exposes the @bunge/ds-components design system catalog, allowing AI assistants to list, search, and retrieve component details including inputs, outputs, usage examples, and import instructions.

MCP server that gives AI coding agents the ability to design UIs through Google Stitch. It generates production-ready HTML and screenshots from natural language prompts.

It lets AI coding agents look up design tokens, component specifications, and prohibition rules on demand, then validate generated HTML or JSX with the same lint logic used by CI and editor hooks so violations are caught and corrected immediately. It also exposes the design constitution and rule sets as resources for reference during generation.

Enables Google Antigravity IDE and any MCP client to connect to Figma Remote MCP with native canvas write access, bypassing the Figma client whitelist and using 1-click browser OAuth.

Provides UI architecture analysis for converting Figma designs or web pages into reusable UI code blocks with effort estimation in CSV format.

Enables Google Antigravity to eliminate AI slop by harvesting real client intake, validating heading intent, auditing E-E-A-T entity graphs, building empirical comparison matrices, linting design anti-patterns, and applying human design archetypes.