# Log Analysis

The Datadog MCP Server is a server - side tool that interacts with the Datadog API through the Model Context Protocol

The MCP Log Analysis Server provides cross - platform log reading, filtering, and pagination browsing functions to help debug the interaction issues between Claude and tools.

A Python-based tool for obtaining infrastructure monitoring data through the Datadog API, providing monitoring status tracking and Kubernetes log analysis functions.

The Tailpipe MCP server is an AI - driven log analysis tool that connects AI assistants with cloud/SaaS log data through the model context protocol. It supports natural language queries and analysis of various cloud service logs, and provides functions such as security incident investigation and cost - performance insights.

A JSON log analysis MCP server that provides log browsing, search, aggregation, and statistical functions for clients such as Claude Desktop.

This is a Claude MCP server demonstration project, which is used to show how to achieve system observability through a log reading tool, helping users analyze log errors and provide solutions.

The Gigapipe MCP server is a unified interface service for querying Prometheus metrics, Loki logs, and Tempo trace data.

The MCP Linux Common Utility Server is a Python-based server that provides access to Linux system operations and information through the Model Context Protocol.

The Last9 MCP Server is a server implementing the Model Context Protocol, providing local integration of real - time production environment data (logs, metrics, traces) for AI developers to help quickly and automatically fix code.

A Docker operation protocol server based on Claude AI, providing functions such as container and Compose stack creation, deployment, and log viewing.