Google Ads MCP Server
What is Google Ads MCP Server?
what is Google Ads MCP Server? Google Ads MCP Server is a Model Context Protocol (MCP) server that provides access to Google Ads data through Claude Desktop. how to use Google Ads MCP Server? To use the server, clone the repository, set up a virtual environment, install dependencies, configure your Google Ads credentials, and run the server locally or via Docker. key features of Google Ads MCP Server? Access to Google Ads campaigns, accounts, and performance metrics via Claude. Support for both Manager (MCC) and client account data. Built-in caching to improve performance and reduce API calls. Integration with Claude Artifacts for data visualization. Multi-environment support (development, testing, production). Containerized deployment with Docker. use cases of Google Ads MCP Server? Analyzing Google Ads account performance. Visualizing campaign performance data. Managing multiple Google Ads accounts efficiently. FAQ from Google Ads MCP Server? What are the prerequisites for using the server? You need Python 3.9 or higher, Google Ads API credentials, and Claude Desktop. Can I deploy this server using Docker? Yes! The server supports Docker deployment for easier management. How do I configure different environments? You can set the APP_ENV variable to dev, test, or prod to specify the environment.
As an MCP (Model Context Protocol) server, Google Ads MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use Google Ads MCP Server
To use the server, clone the repository, set up a virtual environment, install dependencies, configure your Google Ads credentials, and run the server locally or via Docker. key features of Google Ads MCP Server? Access to Google Ads campaigns, accounts, and performance metrics via Claude. Support for both Manager (MCC) and client account data. Built-in caching to improve performance and reduce API calls. Integration with Claude Artifacts for data visualization. Multi-environment support (development, testing, production). Containerized deployment with Docker. use cases of Google Ads MCP Server? Analyzing Google Ads account performance. Visualizing campaign performance data. Managing multiple Google Ads accounts efficiently. FAQ from Google Ads MCP Server? What are the prerequisites for using the server? You need Python 3.9 or higher, Google Ads API credentials, and Claude Desktop. Can I deploy this server using Docker? Yes! The server supports Docker deployment for easier management. How do I configure different environments? You can set the APP_ENV variable to dev, test, or prod to specify the environment.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like Google Ads MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Google Ads MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.