"Information or resources related to Facebook Ads" matching MCP servers:

MCP server acting as an interface to the Facebook Ads, enabling programmatic access to Facebook Ads data and management features.

Enables searching and analyzing Facebook's public ads library for any brand, including ad images, text, and video analysis.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Gives AI agents read access to ads running across Meta platforms without an API key, returning full creatives, real landing URLs, and complete platform lists.

A self-hosted Model Context Protocol (MCP) server that gives AI agents secure, multi-tenant access to the Meta Marketing API for Facebook Ads and Instagram Ads. It enables campaign management, audience targeting, insights, lead management, and more across multiple ad accounts.

Google AdSense for AI agents, enabling MCP server monetization by serving privacy-respecting contextual ads and earning 70% revenue share on clicks.

Enables running marketing platforms like Google Ads, Meta Ads, GA4, Search Console, Tag Manager, and WordPress from any MCP client to read performance, audit wasted spend, build reports, and launch campaigns (created paused until you say otherwise).

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

Enables natural language querying of Amazon Advertising data including Sponsored Products, Brands, Display, DSP reports, and AMC SQL workflows, with live data from the Amazon Ads API.

A Model Context Protocol server that converts Markdown documents to plain text with flexible options and dual protocol support.

Enables read-only access to authorized Google Ads accounts through six predefined catalogue functions, supporting account details, campaign information, cost, and performance queries via MCP.

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

Enables LLMs and AI agents to query and explore Google Ads accounts and API resources through MCP tools and resources, including account information, resource metadata, metrics, segments, and release notes.

Enables AI-powered analysis, management, and optimization of Meta advertising campaigns across Facebook and Instagram, including performance insights, budget optimization, and creative testing.

Enables LLMs and AI agents to query Google Ads accounts and reporting data through the Google Ads API, including customer lookups, resource metadata inspection, and reference material on metrics, segments, and release notes. Tools and resources can be selectively enabled and namespaced via a configuration file, with authentication handled through Application Default Credentials or an OAuth proxy.

Typed MCP server for OpenAI Ads and ChatGPT Ads via the Advertiser API. Supports account, campaign, ad group, ad, creative, audience, insight, and conversion tools with readonly mode and guarded writes.

Supervised Meta Ads operating system for Claude Code. 57 tools for campaign management, multi-asset ads, targeting, pixel diagnostics, catalogs, and safety gates. All ads created PAUSED - operator approves every action.

Enables interaction with Google Ads through the Google Ads API using GCloud authentication. Supports GAQL query execution, performance data retrieval, account management, and resource discovery with pagination and multiple output formats.

MCP server for the Meta Marketing API with 118 typed tools across ads, insights, pixels/CAPI, pages, Instagram, WhatsApp, catalogs, audiences, leads, and billing, featuring secure token storage and a confirmation gate on destructive calls.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.