Enables LLMs to autonomously query AWS CloudWatch Logs and perform structured root-cause analysis via natural language prompts, using MCP tools for log group listing and Insights queries.
Enables AI agents to query AWS CloudWatch metrics, alarms, and logs read-only via MCP, providing rapid health snapshots and triage without console navigation.
A simplified MCP server that provides a streamlined way to interact with AWS CloudWatch resources (log groups, log queries, and alarms) through the MCP protocol.
Exposes Azure AI Foundry agents, workflows, and AI Search vector-database capabilities as MCP tools, enabling natural language interaction with agents, semantic search, and index management.
A read-only MCP server that exposes tools to query Datadog monitors and logs, and AWS CloudWatch Logs, and to group recurring errors by fingerprint. Designed for use with Claude Code to diagnose issues and propose fixes.