by awslabs · MCP Server · ★ 165
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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.
| Stars | 165 |
| Forks | 28 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 57.5881199576231/100 |
| Open Issues | 4 |
| Last Updated | 2026-06-19 |
| Created | 2025-04-14 |
| Platforms | aws, mcp, python |
| Est. Tokens | ~14k |
These tools work well together with Log-Analyzer-with-MCP for enhanced workflows:
Explore other popular mcp server tools:
Log-Analyzer-with-MCP is A Model Context Protocol (MCP) server that provides AI assistants access to AWS CloudWatch Logs for analysis, searching, and correlation. It is categorized as a MCP Server with 165 GitHub stars.
Log-Analyzer-with-MCP is primarily written in Python.
You can find installation instructions and usage details in the Log-Analyzer-with-MCP GitHub repository at github.com/awslabs/Log-Analyzer-with-MCP. The project has 165 stars and 28 forks, indicating an active community.
Log-Analyzer-with-MCP is released under the Apache-2.0 license, making it free to use and modify according to the license terms.