by awslabs · MCP Server · ★ 159
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.
| Stars | 159 |
| Forks | 27 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 40.206/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-12 |
| Created | 2025-04-14 |
| Platforms | aws, mcp, python |
| Est. Tokens | ~31k |
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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 159 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 159 stars and 27 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.