Monitoring & Observability MCP servers
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.
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.
Lets AI assistants interact with data warehouses to query alerts, monitor freshness, investigate schema drift, and trace data lineage.
$claude mcp add armor-mcp -- uvx armor-mcpLets AI clients inspect Prefect Cloud or self-hosted flow runs, deployments, logs, and workspace health, and look up Prefect docs.
Manages FortiGate firewalls from an AI client: firewall policies, address objects, routing, VPN, and read-only monitoring.
Measures the cost, token usage, and duration of completed agent workflows by reading runtime session logs.
$claude mcp add ami-survey-client-v1 -- uvx ami-surveyProvides AI observability, explainability, and governance tools including drift detection, bias auditing, and LLM call monitoring.
$claude mcp add whiteboxxai-mcp -- uvx whiteboxxai-mcpLets an AI client capture, query, group, and inspect Charles Proxy live and recorded HTTP traffic for analysis.
Lets an AI client search .onion sites, fetch hidden services through Tor, rotate its identity, and run OSINT analysis pipelines.
Lets AI agents create, run, and report on BlazeMeter cloud performance and load tests through natural language.
Lets AI clients run SPL searches and manage Splunk Enterprise and Cloud configurations, alerts, dashboards and KV Store.
Connects AI agents to AuditHub so they can browse organizations and projects, launch and monitor security audit tasks, and read issues and findings.
Enables AI assistants to monitor, manage, and analyze Apache Flink clusters and streaming applications through natural language.
Allows an AI client to access real-time latency, uptime, and deprecation data for over 45 AI inference APIs across different global regions.
$claude mcp add --transport http llm-latency-tracker https://llmlatency.dev/mcpAllows an AI client to investigate performance metrics, alerts, capacity, and anomalies within VMware Aria Operations.
$claude mcp add vmware-aria -- uvx vmware-ariaProvides read-only visibility into VMware ESXi hosts, allowing AI clients to diagnose CPU contention, disk latency, hardware health, and storage usage.
$claude mcp add esxi-readonly-mcp -- uvx esxi-readonly-mcpLets an AI client query and analyze GreptimeDB time-series data with SQL, TQL, and RANGE queries, plus manage pipelines and dashboards.
$claude mcp add greptimedb-mcp-server -- uvx greptimedb-mcp-serverLets an AI client query CheckMK host and service status, schedule downtimes, acknowledge problems, and manage monitoring configuration.
$claude mcp add vibemk -- uvx vibemkGives AI coding assistants OpenTelemetry docs, language examples, semantic conventions, and instrumentation guidance.
Lets an AI assistant monitor, list, and manage VAST Data clusters, tenants, views, snapshots, quotas, and performance metrics.
Allows AI clients to access MySQL, MongoDB, and PostgreSQL metrics, query analytics, alerts, and dashboards via PMM.
Query analytics data, monitor event performance, and identify cost optimization opportunities using natural language.