Amazon Ads Manager MCP Server
by amekala
The Amazon Ads Manager MCP Server provides a standardized interface for LLMs to interact with Amazon Advertising data through the Claude Desktop App. It enables users to manage and analyze their advertising data using natural language queries.
Last updated: N/A
What is Amazon Ads Manager MCP Server?
This is a Model Context Protocol (MCP) server designed to manage and analyze Amazon Advertising data. It acts as a bridge between Large Language Models (LLMs) and your advertising data, allowing you to query and analyze data using natural language via the Claude Desktop App.
How to use Amazon Ads Manager MCP Server?
- Install the Claude Desktop App. 2. Create a configuration file (claude-desktop-config.json) with your server details and API key. 3. Replace
YOUR_API_KEY_HEREwith your actual API key. 4. Start using the Claude Desktop App to analyze your advertising data using natural language queries.
Key features of Amazon Ads Manager MCP Server
Database Integration: Pre-configured connection to a secure PostgreSQL database
API Key Authentication: Secure access through API key validation
Real-time Analytics: Access to campaign metrics and performance data
Natural Language Interface: Query your advertising data using natural language
Use cases of Amazon Ads Manager MCP Server
Analyzing campaign performance using natural language queries
Optimizing advertising budgets based on AI-driven recommendations
Accessing and querying campaign metrics in real-time
Integrating Amazon Advertising data with LLMs for advanced analysis
FAQ from Amazon Ads Manager MCP Server
How do I authenticate with the server?
How do I authenticate with the server?
The server uses API key authentication. Include an Authorization header with your API key: Authorization: Bearer YOUR_API_KEY
What database does the server connect to?
What database does the server connect to?
The server maintains a connection to a PostgreSQL database. No additional configuration is required.
What kind of queries can I run?
What kind of queries can I run?
You can run natural language queries to analyze campaign performance, get budget recommendations, and access key metrics. You can also run custom SQL queries.
How do I view the database schema?
How do I view the database schema?
You can access the database structure and table definitions through the available resources.
Where can I get support?
Where can I get support?
For support, please open an issue in the GitHub repository or contact the maintainers.