Monitoring and observability MCP servers for logs, metrics, traces and error tracking: let an AI assistant investigate incidents with real data. 699 servers in this category.
Allows an AI client to query local metric time-series data for production incident triage and root-cause analysis.
$claude mcp add quellgeist-metrics -- uvx quellgeistAllows an AI client to query structured JSONL incident logs to support root-cause hypothesis generation during production triage.
$claude mcp add quellgeist-logs -- uvx quellgeist
Enables AI clients to search, aggregate, and correlate infrastructure logs from VMware Aria Operations for Logs without modifying source systems.
$claude mcp add vmware-log-insight -- uvx vmware-log-insight
Tracks OpenAI Codex usage from local logs to monitor tokens, API-equivalent costs, and plan limits.
$claude mcp add codexwatch -- uvx codexwatch-cli
Monitors real-time conversation health for AI agents by tracking semantic drift, information gain, and causal reachability using deterministic arithmetic.
$claude mcp add --transport http horizon https://horizon.leocelis.com/sse
Classifies GPU workloads as training, inference, or idle using telemetry data like utilization, memory patterns, and power draw.
$claude mcp add workloadtruth -- uvx workloadtruth-cli
Monitors Windows RAM and disk usage and provides cleanup plans for files and startup programs.
$claude mcp add headroom -- uvx headroom-pc
Provides 17 tools to monitor, diagnose, and manage Apache HTTP Server operations through diagnostics, log analysis, and health probes.
$claude mcp add apache-aiops -- uvx apache-aiops
Enables AI agents to instrument code with tracing, manage evaluations, configure guardrails, and debug failing tests within the Openlayer platform.
$claude mcp add --transport http openlayer-skills https://mcp.openlayer.com/mcp
Lets an AI client run network diagnostics like ping, traceroute, mtr, nmap scans, DNS and TLS lookups, HTTP requests, and system monitoring.
Enables AI clients to investigate millions of log lines, metrics, and traces in SereneDB using plain language queries.
An AI-powered DevOps agent that SSHes into remote Linux servers to auto-detect application stacks and perform intelligent diagnostic workflows.
Connects AI agents to New Relic via the NerdGraph GraphQL API to query NRQL, search logs, and investigate incidents locally.
Enables AI agents to investigate massive log files using constant-memory streaming, error clustering, and request tracing.
Allows AI coding agents to list and tail log files locally without manual copy-pasting.
Enables AI agents to query Grafana Loki logs using fuzzy container name matching, pattern mining, and log volume analytics.
Monitors LLM applications for behavioral drift by creating and running evaluation specs directly within an MCP-compatible client.
$claude mcp add modelwatch -- npx -y modelwatch-mcp
Provides AI agents with sandboxed, read-only access to system health, Docker diagnostics, and compressed log intelligence.
Lets an AI client query real-time status, incident history, and machine-readable feeds for over 1,100 SaaS and cloud vendors.
$https://github.com/APVentureEngine/vendor-status-mcp/releases/download/v0.1.2/vendor-status-mcp.mcpb
Lets AI coding agents hand Google Cloud troubleshooting, rollout review, cost optimization, and Terraform work to the Cloud Operator agent.
$claude mcp add gemini-cloud-assist-mcp -- npx -y @google-cloud/gemini-cloud-assist-mcp