Monitoring
Servers integrating various monitoring and error tracking services, such as Sentry, Raygun, Grafana, for system performance monitoring and problem diagnosis.
jvm-mcp-server: MCP server bridging AI models with Java via Arthas for real-time JVM monitoring and analysis.
Integrate AI models with Apache Airflow using the `mcp-server-apache-airflow`, a Model Context Protocol server.
Track crypto whale movements in real-time with the `whale-tracker-mcp` server, an MCP-compliant solution for AI-driven analysis.
Real-time Crypto Fear & Greed Index data for AI models via MCP.
PancakeSwap PoolSpy MCP: Real-time PancakeSwap pool tracking for DeFi insights.
Uniswap PoolSpy MCP: Real-time Uniswap V3 pool tracking across 9 chains for DeFi insights.
`server-sentry` is an MCP server for Sentry.io, providing AI models with debugging insights via issue analysis and stack traces.
mcp-server-raygun: An MCP server for AI models to securely access Raygun's error and performance data.
Metoro MCP Server: AI-powered Kubernetes monitoring via Claude Desktop App. Connects Metoro with LLMs for intelligent cluster management.
Grafana MCP Server: Connect AI models to Grafana for real-time data insights and automated incident management.
Logfire MCP Server: Connect LLMs to your OpenTelemetry data for AI-powered application insights and optimization.
mcp-monitor: Real-time system metrics for AI models via MCP. Enhance AI decisions with system awareness.