"Optimizing Meta ads campaigns and TikTok marketing" matching MCP servers:

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 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.

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

Deployable MCP clone services for A2A-Meta, hosting pending clones via a multiplexer for Railway deployment.

Enables AI assistants to interact with Databricks workspaces, running SQL queries, managing jobs, and exploring schemas via the Model Context Protocol.

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.

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

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.

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

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.

Enables interaction with Google Cloud services including billing cost analysis, log querying, and metrics monitoring through natural language commands. Provides comprehensive tools for managing GCP resources, analyzing costs, detecting anomalies, and retrieving operational insights.

Enables named, authenticated callers to run read-only introspection of a Google Cloud project and to read and write per-tenant notes that stay isolated between callers. Every request is scope-checked against a reviewed policy, rate-limited per caller, and audited without ever logging argument values.

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.

Enables management of CentOS Web Panel hosting accounts, SSL certificates, FTP users, MySQL databases, and packages through natural language commands via the Model Context Protocol.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

Enables automated review and analysis of network security controls (AWS Security Groups, Network ACLs) using natural language queries. Supports NSC configuration reviews, network segmentation testing, and identifying security gaps through conversational LLM interaction.

Enables natural-language querying and analysis of AWS spending and model-invocation usage, including detailed breakdowns by service, region, account, day, and instance type.

Enables natural-language queries of AWS spend and Bedrock usage data, providing detailed breakdowns by service, region, account, user, instance type, and model, including cross-account cost analysis.

Enables the deployment of remote Model Context Protocol servers on Cloudflare Workers without authentication using Server-Sent Events. It provides a boilerplate for developers to add custom tools and connect them to clients like Claude Desktop or the Cloudflare AI Playground.

Enables users to query and visualize AWS spend and Amazon Bedrock usage data through natural language, including EC2 and service cost breakdowns and Bedrock usage by region, user, and model.

Enables natural-language analysis of AWS spend through Cost Explorer and Amazon Bedrock usage via CloudWatch model invocation logs, with breakdowns by service, region, model, user, day, and instance type. It also supports cross-account cost retrieval and local or remote MCP transports.

Enables users to query AWS spend data and Amazon Bedrock usage from CloudWatch model invocation logs through natural language. Supports detailed cost breakdowns by service, region, day, and instance type, including cross-account AWS spend retrieval.

Enables users to query AWS spending and Amazon Bedrock usage in natural language through MCP clients, with breakdowns by service, region, day, model, and user, plus optional cross-account access.

Enables users to query and analyze cloud spending, EC2 cost breakdowns, service-level spend, and model usage logs through natural-language interactions. It also supports cross-account spend retrieval when configured.

A deployable MCP server template for Cloudflare Workers that provides Google OAuth authentication and comprehensive analytics tracking of tool usage, performance metrics, and user behavior.

Enables agents to retrieve and analyze cloud spending and model usage data, including service, region, instance-type, user, and model breakdowns.

Stateless Streamable HTTP MCP endpoint with OAuth 2.1 authentication via Cloudflare Workers, supporting PKCE, DCR, and token introspection.

Enables querying AWS Cost Explorer spend data and Amazon Bedrock model invocation logs through CloudWatch in natural language. Supports EC2, Bedrock, and cross-account cost analysis via local or remote MCP transports.