This MCP server provides practical examples and demos for using Model Context Protocol with AWS services. It exposes tools for integrating AI agents with AWS observability tools like CloudWatch and X-Ray. Developers use it to build and test agentic AI applications that monitor and analyze AWS resources.
This MCP server provides practical examples and demos for using Model Context Protocol with AWS services. It exposes tools for integrating AI agents with AWS observability tools like CloudWatch and X-Ray. Developers use it to build and test agentic AI applications that monitor and analyze AWS resources.
pip install sample-agentic-ai-demosAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"aws-samples-sample-agentic-ai-demos-github": {
"command": "uvx",
"args": [
"pip install sample-agentic-ai-demos"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from sample agentic ai demos?"
API Key Required
This server requires an API key from sample agentic ai demos. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| SAMPLE_AGENTIC_AI_DEMOS_API_KEY | Yes | Your sample agentic ai demos API key |
"What resources are available in sample agentic ai demos?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in sample agentic ai demos"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in sample agentic ai demos with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
We build custom MCP integrations for B2B companies. From simple connections to complex multi-tool setups.