"A guide to everything about Meta Ads" matching MCP servers:

MCP server for Google Ads. Audit spend, find wasted budget, create campaigns, monitor performance, and optimize ads directly from ChatGPT, Claude, or any MCP-compatible client.

MCP server that provides tools and resources for interacting with Google Ads API, enabling search, metadata retrieval, and account management through natural language.

Create, launch, and manage Meta + Google ads from Claude and ChatGPT. Analytics, strategy, and autopilot automation for any store.

Analyze paid marketing accounts (Google Ads, Meta Ads, GA4, Merchant Center) in plain language, read-only. Provides insights, competitor ads, and landing page audits via natural language.

MCP server for managing Google Ads, Meta Ads, LinkedIn Ads, and TikTok Ads via AI. 210+ tools including account audits, wasted spend detection, and PMax insights.

Enables deploying a secure MCP gateway that proxies, sandboxes, and policy-governs third-party MCP servers, with credential vaulting and audited tool access across stdio, SSE, and Streamable HTTP.

This MCP server lets AI agents connect to Figma to read, analyze, create, and modify designs, including elements, styles, assets, and code generation. It works with free Figma accounts and supports parallel multi-agent use across MCP-compatible clients.

MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.

Enables LLMs to interact with Google Ads accounts via tools like list_accounts and search_stream, using a standardized Model Context Protocol integration.

Enables searching and retrieving content, module information, and Twig template snippets from a-blog cms via its GET API.

Enables agents to generate typed client code from OpenAPI, GraphQL, Protobuf, and SQL specs using MetaEngine's code-generation platform.

Enables Large Language Models to interact with Google Ads API for querying campaigns, ad groups, and performing mutations like creating budgets and ads.

Manage ad campaigns across Meta, Google, and TikTok, create campaigns, analyze performance, spy on competitors, and generate AI creatives.

Connects AI coding assistants to Anima Playground, Figma designs, and design systems, enabling handoff of designs to production code.

Thin MCP server that enables AI agents to generate video, image, and audio content via the Deepy API using a personal API key, with safe generation flow and no business logic.

Enables querying of a locally pinned snapshot of the Education-to-Workforce Indicator Framework — 99 indicators and 11.8M observations — to browse questions, describe metrics, resolve places, and fetch or rank data across national, state, county, and district levels.

Publishes static sites to Drop2Run from an AI agent: hand it files written in the chat or a folder on disk, and it returns a live HTTPS URL. Six tools — publish_files, publish_dir, list_sites, delete_site, and login / login_code — with no git, no build step and no repository.

Enables agents to discover available still-image animation models, obtain credit quotes without charge, submit one explicitly approved generation job, and poll the resulting short clip.

What is PandaDoc MCP? PandaDoc MCP (Model Context Protocol) server connects AI agents directly to PandaDoc's document workflow — creating, sending, and tracking contracts and agreements without leaving your AI client. How to use PandaDoc MCP? To use PandaDoc MCP, connect your PandaDoc account, provide the required API credentials, and configure the appropriate MCP client.

Enables product search, price comparison, and price history analysis across 6 European marketplaces (DE, AT, GB, FR, IT, ES).