Log Analyzer With MCP

Name: Log Analyzer With MCP
Author: awslabs

Official

by awslabs

A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation

162 0 tools GitHub

No known CVEs

Apache-2.0 license

Actively maintained

Last commit 10d ago

Works with most clients

Transport: stdio

0 tools

Grade F

Edit this pageView history

DevOps Cloud

Step 1

Install in your client

Config is the same across clients — only the file and path differ.

Supported in Claude Desktopstdio · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "log-analyzer-with-mcp": {
      "command": "<see-readme>",
      "args": []
    }
  }
}

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Read me

What Log Analyzer With MCP does

A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation.

Test This Server

No automated test available for this server. Check the GitHub README for setup instructions.

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Score breakdown

39/100across 5 weighted dimensions

How we score →

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Security

OSV.dev

No known CVEs.

No package registry to scan.

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Frequently Asked Questions

Is Log Analyzer With MCP safe to use?: Log Analyzer With MCP has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under Apache-2.0.
How do I install Log Analyzer With MCP?: Log Analyzer With MCP can be installed by cloning its GitHub repository and following the setup instructions in the README.
What AI clients work with Log Analyzer With MCP?: Log Analyzer With MCP is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.
Is Log Analyzer With MCP actively maintained?: Log Analyzer With MCP is actively maintained — last commit was 10 days ago. It has 162 GitHub stars.

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🔌 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.

Frequently Asked Questions

Is Log Analyzer With MCP safe to use?

Log Analyzer With MCP has no known CVEs as of the latest MCPpedia security scan. It does not require authentication, so any local process can connect — keep this in mind in shared environments. Licensed under Apache-2.0.

How do I install Log Analyzer With MCP?

Log Analyzer With MCP can be installed by cloning its GitHub repository and following the setup instructions in the README.

What AI clients work with Log Analyzer With MCP?

Log Analyzer With MCP is compatible with claude-desktop, cursor, claude-code. It uses stdio transport.

Is Log Analyzer With MCP actively maintained?

Log Analyzer With MCP is actively maintained — last commit was 10 days ago. It has 162 GitHub stars.

Log Analyzer with MCP

A Model Context Protocol (MCP) 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.

✨ Features

Browse and search CloudWatch Log Groups
Search logs using CloudWatch Logs Insights query syntax
Generate log summaries and identify error patterns
Correlate logs across multiple AWS services
AI-optimized tools for assistants like Claude

Detailed feature list

🚀 Installation

Prerequisites

The uv Python package and project manager (includes uvx)
An AWS account with CloudWatch Logs
Configured AWS credentials

🚦 Quick Start

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.

🤖 AI Integration

This project can be easily integrated with AI assistants like Claude for Desktop. See the AI integration guide for details.

Log Analyzer With MCP

Install in your client