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

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

Enables LLMs to query Google Ads accounts, search for information, and list accessible customers.

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.

MCP server enabling AI assistants to manage Microsoft Advertising (Bing Ads) campaigns, including campaigns, ad groups, keywords, and ad extensions via a clean set of tools.

A Model Context Protocol server that allows AI models to access, analyze, and manage Meta advertising campaigns, enabling LLMs to retrieve performance data, visualize ad creatives, and provide strategic insights for Facebook and Instagram platforms.

A FastMCP-powered Model Context Protocol server for Google Ads API integration with automatic OAuth 2.0 authentication Connect Google Ads API directly to MCP Clients with seamless OAuth 2.0 authentication, automatic token refresh, GAQL querying, and keyword research capabilities.

Enables LLMs to interact with the Google Ads API through the Model Context Protocol, allowing natural language queries for campaign management and metrics.

A sovereign Google marketing-agency control plane over the Model Context Protocol, enabling an AI agent to safely operate 20 Google marketing products with read and guarded write capabilities.

MCP server that lets any LLM manage Google Ads campaigns from the terminal. Supports read and write operations.

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

Provides comprehensive access to Google Ads API v20, enabling AI assistants to manage campaigns, accounts, assets, and reporting through natural language. It features automatic retry logic, GAQL query support, and advanced functionality for Performance Max and Demand Gen campaigns.

Enables AI applications to interact with Amazon Advertising API through the Model Context Protocol. Supports campaign management, performance reporting, audience targeting, and comprehensive advertising operations across Amazon's advertising ecosystem.

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 Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.

Enables secure, read-only querying of Google BigQuery datasets through a stateless MCP server with OAuth 2.1 authorization, designed for integration with Atlassian Rovo.

An MCP server that automates the backup of Cloudflare projects to a GitHub repository, providing a systematic way to preserve Cloudflare configurations and assets.

Enables AI agents to scan AWS accounts, build resource relationship graphs, detect unused resources, and export data via MCP tools.

Enables managing DigitalOcean cloud resources, including Droplets, databases, domains, and more, via natural language.

Gives mobile AI assistants a real local command-line workspace and manages Cloudflare resources (Pages/D1/KV/R2) via REST or wrangler, with credentials remaining on-device.

Enables AI agents to manage Google Cloud Platform resources including projects, IAM, service accounts, and APIs directly through GCP REST APIs without requiring gcloud CLI or Terraform.