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MCP server · Cloud

Log Analyzer With MCP

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

Unclaimed Apache-2.0 cloud
74Good

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About Log Analyzer With MCP

Log Analyzer With MCP is an MCP server published by awslabs in the Cloud category: a Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation.

The repository has 169 stars and 27 forks, with the last commit 2 months ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/awslabs/Log-Analyzer-with-MCP

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

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Ask AI about Log Analyzer With MCP

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I know everything about Log Analyzer With MCP. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

Static checks derived from the repository 8 hours ago. Heuristics on the source, not an audit.

  • ✓README presentThe repository ships documentation.
  • ✓License declaredUsable under a stated license.
  • ✓Tests presentA test suite exists in the repository.
  • ✓Dependencies pinnedA lockfile pins dependency versions.
  • ✓No dynamic code executionSource scan found no eval, dynamic Function, or shell execution.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

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

Architecture Diagram

🔌 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

  1. Make sure to have configured your AWS credentials as described here

  2. Update your claude_desktop_config.json file with the proper configuration outlined in the AI integration guide

  3. 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.

📚 Documentation

🔒 Security

See CONTRIBUTING for more information.

📄 License

This project is licensed under the Apache-2.0 License.

README fetched from the repository 8 hours ago. The original is authoritative.

Questions

About Log Analyzer With MCP

How do I install Log Analyzer With MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Log Analyzer With MCP safe to use with an AI agent?

Its trust score is 74 out of 100 (good). It passes 5 of the 6 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Log Analyzer With MCP still maintained?

Yes — the last commit was 2 months ago. The repository has 169 stars and 27 forks and 8 open issues.