This MCP server connects AI agents to AWS CloudWatch Logs, enabling log analysis, searching, and correlation. It provides tools for querying logs, extracting insights, and identifying patterns. The server integrates directly with AWS CloudWatch Logs API, allowing developers to build AI-driven log monitoring and troubleshooting tools.
This MCP server connects AI agents to AWS CloudWatch Logs, enabling log analysis, searching, and correlation. It provides tools for querying logs, extracting insights, and identifying patterns. The server integrates directly with AWS CloudWatch Logs API, allowing developers to build AI-driven log monitoring and troubleshooting tools.
pip install Log-Analyzer-with-MCPAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"awslabs-log-analyzer-with-mcp-github": {
"command": "uvx",
"args": [
"pip install Log-Analyzer-with-MCP"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from Log Analyzer with MCP?"
API Key Required
This server requires an API key from Log Analyzer with MCP. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| LOG_ANALYZER_WITH_MCP_API_KEY | Yes | Your Log Analyzer with MCP API key |
"What resources are available in Log Analyzer with MCP?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in Log Analyzer with MCP"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in Log Analyzer with MCP 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.