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MCP verified Apache-2.0 Self-run

Log Analyzer With MCP

mcp-awslabs-log-analyzer-with-mcp · by awslabs

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

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Install

$ agentstack add mcp-awslabs-log-analyzer-with-mcp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
3mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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](./docs/features.md)

🚀 Installation

Prerequisites

  • The uv Python package and project manager (includes uvx)
  • An AWS account with CloudWatch Logs
  • Configured [AWS credentials](./docs/aws-config.md)

🚦 Quick Start

  1. Make sure to have configured your AWS credentials as [described here](./docs/aws-config.md)
  1. Update your claude_desktop_config.json file with the proper configuration outlined in the [AI integration guide](./docs/ai-integration.md)
  1. Open Claude for Desktop and start chatting!

For more examples and advanced usage, see the [detailed usage guide](./docs/usage.md).

🤖 AI Integration

This project can be easily integrated with AI assistants like Claude for Desktop. See the [AI integration guide](./docs/ai-integration.md) for details.

📚 Documentation

  • [Detailed Features](./docs/features.md)
  • [Usage Guide](./docs/usage.md)
  • [AWS Configuration](./docs/aws-config.md)
  • [Architecture Details](./docs/architecture.md)
  • [AI Integration](./docs/ai-integration.md)
  • [Troubleshooting](./docs/troubleshooting.md)

🔒 Security

See [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.

📄 License

This project is licensed under the Apache-2.0 License.

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.