Coroot
Integrates the Coroot observability platform, enabling AI agents and MCP clients to access monitoring, troubleshooting, and configuration capabilities.
About
This tool serves as a Model Context Protocol (MCP) server, establishing a direct bridge between MCP clients and the Coroot observability platform. It empowers AI agents and other MCP-compatible tools to seamlessly interact with Coroot's comprehensive features, including real-time application monitoring, detailed log analysis, distributed tracing, and infrastructure management. By exposing Coroot's powerful API through the MCP, it facilitates advanced automation, AI-driven root cause analysis, and programmatic control over your observability stack, streamlining operations and enhancing data-driven decision-making.
Key Features
- AI-Powered Root Cause Analysis (automatic issue diagnosis)
- Distributed Tracing (across microservices, bottleneck identification)
- Deep Log Analysis (search, filter, pattern detection)
- Full Management Capabilities (projects, integrations, dashboards, users)
- 2 GitHub stars
- Comprehensive Application Monitoring (metrics, health checks, performance)
Use Cases
- Monitoring application health and performance across various environments
- Troubleshooting system incidents by analyzing logs, traces, and metrics
- Automating configuration and management of Coroot projects and integrations
