Working with AI and LLMs - Amazon Location Service
Recommended MCP Servers

Working with AI and LLMs

AI and LLMs can significantly accelerate development with Amazon Location Service by providing intelligent assistance for API usage, code generation, and troubleshooting. By configuring your LLM client with the right MCP servers and context, you can create a powerful development assistant that understands AWS services and Amazon Location Service specifics.

Recommended MCP Servers

Model Context Protocol (MCP) servers extend LLM capabilities by providing access to external tools, documentation, and APIs. While these MCP servers are not required, they can help the LLM look up additional information about the service and let you stay up to date on the latest Amazon Location Service developer guidance. For Amazon Location Service development, the following MCP servers are recommended:

  • aws-knowledge-mcp-server - Access to AWS documentation, API references, best practices, and knowledge bases. Does not require AWS credentials or authentication, making it ideal for documentation lookup without credential management. Learn more

  • aws-api-mcp-server - Direct AWS API interactions and CLI command execution. Requires AWS credentials. Learn more

You can use either server individually or both together for comprehensive functionality.