Log-Analyzer-with-MCP MCP Server
awslabs/Log-Analyzer-with-MCP
[](https://agentrank-ai.com/tool/awslabs--Log-Analyzer-with-MCP/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
awslabs/Log-Analyzer-with-MCP is a Python MCP server licensed under Apache-2.0. A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation
Ranked #7012 out of 24846 indexed tools.
Has 11 contributors.
Ecosystem
Score Breakdown
169 stars → growing community
Last commit 2mo ago → moderate activity
15/23 issues closed → decent issue management
11 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
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From the README
# Log Analyzer with MCP A [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation. ## 🏗️ Architecture ## 🔌 Model Context Protocol (MCP) 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](https://modelcontextprotocol.io/introduction). ## ✨ Features - Browse and search CloudWatch Log Groups - Search logs using CloudWatch Logs Insights query syntax - Generate log summariRead full README on GitHub →
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