Logs Sieve

Logs Sieve

AI-driven logs querying & summarization across top observability platforms.

Visit Logs Sieve

About Logs Sieve

Logs Sieve is an MCP server that allows AI assistants to query, summarize, and trace logs directly from major observability backends like Google Cloud Logging, AWS CloudWatch, Azure Monitor, Grafana Loki, and Elasticsearch. It simplifies and automates repetitive incident response workflows by providing natural language access to log data and contextual information. Designed for developers, SREs, and those building AI copilots or assistants needing real-time log access and analysis.

Resources

Product Website

Visit Logs Sieve's official website for product details and getting started.

Visit website →

Documentation

Comprehensive guide and API reference for using Logs Sieve effectively.

View docs →

Example Use Cases

Explore various scenarios and examples on how to implement Logs Sieve in your projects.

Read wiki →