Access and analyze application monitoring data. Enables AI models to review error reports and performance metrics.
Interact with your crash reporting and real using monitoring data on your Raygun account
Comprehensive integration with VictoriaMetrics APIs and documentation for monitoring, observability, and debugging tasks related to your VictoriaMetrics
Datadog MCP Server for application tracing, monitoring, dashboard, incidents queries built on official datadog api.
A Model Context Protocol (MCP) server for HAProxy implemented in Go, leveraging HAProxy Runtime API.
Golang based MCP Server to query logs from Grafana Loki.
Query and analyze Prometheus - open-source monitoring system.
A simple MCP server to query Loki logs using logcli.
Golang MCP server for Splunk (lists saved searches, alerts, indexes, macros...). Supports SSE and STDIO.
The MCP (Multi-Channel Protocol) System Health Monitoring is a robust, real-time monitoring solution designed to provide comprehensive health metrics and alerts for remote Linux servers.
A powerful, cross-platform system management and monitoring tool for Windows, Linux, and macOS.
An MCP server to query traces/spans from Grafana Tempo.
Edge Delta MCP Server
Enhance AI-generated code quality through intelligent, prompt-based analysis across 10 critical dimensions from complexity to security vulnerabilities
Internet speed testing with network performance metrics including download/upload speed, latency, jitter analysis, and CDN server detection with geographic mapping
Zabbix integration for hosts, items, triggers, templates, problems, data and more.
A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface.(support CPU、Memory、Disk、Network、Host、Process)
An MCP server that allows querying Loki logs through the Grafana API.
Model Context Protocol server for monitoring Operational Status of major digital platforms in Claude Desktop.
Debug your Container and Kubernetes workloads with an AI interface powered by eBPF.