Search: observability
Search MCP servers and agent skills by name, description, category or topic — 38 results.
google/cloud/google-cloud-networking-observability
Investigates Google Cloud networking issues by analyzing logs, metrics, and diagnostics.
microsoft/azure-mgmt-arizeaiobservabilityeval-dotnet
Arize AI observability management
alimuratkuslu/byok-observability-mcp
Comprehensive MCP server for Grafana, Prometheus, Kafka UI, and Datadog with a secure "Bring Your Own Key" or BYOK model.
netdata/netdata
Discovery, exploration, reporting and root cause analysis using all observability data, including metrics, logs, systems, containers, processes, and network connections
Comet-ML/Opik-MCP
Use natural language to explore LLM observability, traces, and monitoring data captured by Opik.
VictoriaMetrics-Community/mcp-victoriametrics
Provides comprehensive integration with your [VictoriaMetrics instance APIs](https://docs.victoriametrics.com/victoriametrics/url-examples/) and [documentation](https://docs.victoriametrics.com/) for monitoring, observability, and debugging tasks related to your VictoriaMetrics instances
BetterDB-inc/monitor
Valkey-first observability with Redis compatibility. Query real-time metrics, analyze slow commands, detect hot keys, and investigate performance issues directly from AI coding assistants.
dynatrace-oss/dynatrace-mcp
Leverage AI-driven observability, security, and automation to analyze anomalies, logs, traces, events, metrics.
VictoriaMetrics-Community/mcp-victorialogs
Provides comprehensive integration with your [VictoriaLogs instance APIs](https://docs.victoriametrics.com/victorialogs/querying/#http-api) and [documentation](https://docs.victoriametrics.com/victorialogs/) for working with logs, investigating and debugging tasks related to your VictoriaLogs instances.
spanlens/Spanlens
Query Spanlens LLM observability from Claude Desktop, Cursor, or Continue: request logs, costs, agent traces, anomalies, and user analytics with a read-only API key.
andreisirbu91-lab/MCPSpend
Real-time cost observability for MCP tool calls. Transparent proxy auto-detects every MCP client (Claude Desktop, Cursor, Windsurf, VS Code, Claude Code, Zed, Continue.dev, Cline, Goose) and attributes spend per tool, per project, per end-customer. `npx @mcpspend/proxy add` install. Free tier 25K calls/month, no card. MIT proxy on npm. EU-hosted, GDPR-ready.
avivsinai/langfuse-mcp
Query Langfuse traces, debug exceptions, analyze sessions, and manage prompts. Full observability toolkit for LLM applications.
last9/last9-mcp-server
Seamlessly bring real-time production context—logs, metrics, and traces—into your local environment to auto-fix code faster
agentkitai/agentlens
Tamper-evident observability for AI agents: a SHA-256 hash-chained audit log with chain verification and signed export (EU AI Act Art. 12). Instrument any agent with zero code via `npx -y @agentlensai/mcp`; also ingests OpenTelemetry GenAI traces.
enmanuelmag/heimdall-mcp
Transparent proxy for any MCP server that intercepts all JSON-RPC messages, measures latency, and stores traces in SQLite, PostgreSQL, or MySQL. Exports OpenTelemetry (OTLP) spans to Jaeger, Tempo, or Grafana. Supports stdio, HTTP, and SSE transports. `npx @cardor/heimdall-mcp`
spanlens/Spanlens
Query your Spanlens LLM observability from any MCP client. 7 read tools for request logs, agent traces, cost stats, anomalies, model-savings, and per-user analytics across OpenAI, Anthropic, and Gemini. Open source, self-hostable. `npx -y @spanlens/mcp-server`
iris-eval/mcp-server
MCP-native agent evaluation and observability server with trace logging, output quality evaluation, cost tracking, 12 built-in eval rules, real-time dashboard, and PII detection.
rbmuller/scherlok
Zero-config data quality monitoring across Postgres, BigQuery, Snowflake, MySQL, and DuckDB. Profile a warehouse, detect anomalies (volume, schema drift, freshness, NULLs, distribution, cardinality), with optional dbt manifest lineage. Read-only — connection resolved server-side, never passed via the model.
spre-sre/lumino-mcp-server
AI-powered SRE observability for Kubernetes and OpenShift with 40+ tools for Tekton pipeline debugging, log analysis, root cause analysis, and predictive monitoring.
ThinkneoAI/mcp-server
ThinkNEO Control Plane — Enterprise AI governance MCP server with runtime guardrails, observability, AI FinOps, and agent lifecycle control.
LWTlong/ai-dev-analytics
An open-source observability layer for AI coding. Silently tracks dev tokens/time and auto-codifies AI deviations into persistent project rules.
arnavranjan005/mcp-telemetry
Socket.IO-style telemetry for MCP servers. Instrument a tool call with a few lines of `mcp-telemetry-sdk`, and `telemetry_subscribe` streams its live progress (steps, logs, cost, done) to any connected MCP client via `notifications/progress` — no polling, and a job started in one session can be watched from a completely different one.
us-all/datadog-mcp-server
Datadog observability — 168 tools across metrics, monitors, logs, APM, RUM, incidents, status pages, fleet automation, workflows. 4 workflow Prompts and `incident-triage-snapshot` aggregation that fans out to 4 fetches in one call.
TANTIOPE/datadog-mcp-server
MCP server providing comprehensive Datadog observability access for AI assistants. Features grep-like log search, APM trace filtering with duration/status/error queries, smart sampling modes for token efficiency, and cross-correlation between logs, traces, and metrics.
willianpinho/mcp-gateway-scan
Read-only static scanner for MCP / agent-gateway production-readiness. The `scan_gateway` tool scores a repo across 7 security dimensions (RBAC, fail-closed, supply chain, observability, cost, secrets, prod-readiness). Never executes code or prints secret values.
argosvix/mcp-server
Observability for AI agents: 87 tools to query LLM cost, errors, and latency across OpenAI/Anthropic/Gemini/Mistral, and operate alerts, budget gates, evals, and safety checks from Claude/Cursor. Install: `npx -y @argosvix/mcp-server`.
rudraneel93/mcp-guardian
Security and governance proxy for MCP infrastructure. Enforces YAML-configurable policies (blocklists, rate limits, token budgets), tracks real token costs via tiktoken, monitors server health with live JSON-RPC probes. Features include OAuth 2.1/OIDC with RBAC, web dashboard with Prometheus metrics, payload normalization against encoding bypasses, semantic shell AST analysis, mTLS zero-trust netw
Vbj1808/retrieval-lens
Black-box flight recorder for RAG retrieval inside MCP agents. Logs chunks, scores, sources and rankings so you can audit, replay and diff retrieval runs.
Jwrede/llmprobe
Synthetic monitoring for LLM inference endpoints. Measure TTFT, latency, throughput, and errors across OpenAI, Anthropic, Google, Azure, Bedrock, and local servers (vLLM, SGLang, Ollama). CLI + MCP server with Prometheus and OpenTelemetry export.
perceptdot/percept
AI-powered observability platform for agents. Auto-discovers and recommends MCP servers; built-in connectors for GA4, Vercel, GitHub, and Sentry with ROI tracking. `npx -y @perceptdot/core`
ayushagrawal288/memex
Production-grade persistent memory service for AI agents. Semantic search with recency decay (configurable α blend), local ONNX embeddings (zero API cost), background memory summarisation, and Prometheus/Grafana observability. `docker compose up` — no cloud dependencies.
hugoles/langfuse-mcp
TypeScript MCP server for the Langfuse Public API. 27 read tools covering traces, observations, sessions, scores, score-configs, prompts (with version/label), datasets, dataset items, dataset runs, metrics, models, projects, comments, media, and health. Distributed as `npx -y langfuse-mcp` with provenance-signed releases.
ejcho623/agent-breadcrumbs
Unified agent work logging and observability across ChatGPT, Claude, Cursor, Codex, and OpenClaw with config-first schemas and pluggable sinks.
esp4ce/infra-mcp
Read-only MCP server for on-prem Linux VMs and PostgreSQL over SSH. Check service health (systemd/journald), retrieve bounded logs, inspect DB state, and explore table schemas — without terminal access. Allowlist-gated, append-only audit log. `pip install infra-mcp`.
webaesbyamin/agent-receipts
Cryptographic accountability for AI agents. Ed25519-signed receipts for every MCP tool call — constraints, chains, AI judgment, invoicing, local dashboard.
log-logn/langfuse-mcp-java
Query Langfuse traces, debug exceptions, analyze sessions, scores, datasets, schema, observations and manage prompts. Full observability toolkit for LLM applications. (https://github.com/langfuse/langfuse)
98lukehall/renoun-mcp
Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence across 17 channels without analyzing content.