A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"log-analyzer-with-mcp": {
"command": "<see-readme>",
"args": []
}
}
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A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation.
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A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation.

As outlined by Anthropic:
MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.
This repository is an example client and server that allows an AI assistant like Claude to interact with CloudWatch logs in an AWS account. To learn more about MCP, read through the introduction.
uvx)Make sure to have configured your AWS credentials as described here
Update your claude_desktop_config.json file with the proper configuration outlined in the AI integration guide
Open Claude for Desktop and start chatting!
For more examples and advanced usage, see the detailed usage guide.
This project can be easily integrated with AI assistants like Claude for Desktop. See the AI integration guide for details.
See CONTRIBUTING for more information.
This project is licensed under the Apache-2.0 License.