What is a #observability MCP server?
An MCP server tagged #observability implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access observability-related tools, data, or APIs.
Every MCP server and client below is tagged #observability — install one to give Claude, Cursor, VS Code, or any other MCP-compatible client access to observability tools.
IBM
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified endpoint with centralized discovery, guardrails and management. Optimizes Agent & Tool calling, and supports plugins.
ankorstore
Simple, modular, and observable Go framework for backend applications.
golf-mcp
Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents
VictoriaMetrics-Community
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics
dynatrace-oss
MCP server for Dynatrace Observability
last9
Last9 MCP Server
rollbar
Model Context Protocol server for Rollbar
shiftyp
digma-ai
agardnerIT
98lukehall
Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content. MCP server + REST API.
archimedes-market
Curated by Archimedes Market with a verified Trust Report (security, quality, license, complexity).
spre-sre
AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.
oathe-ai
MCP server for https://oathe.ai security audits. Runtime behavioral analysis and security scanner for AI systems. Check trust scores before installing MCP servers, plugins, or AI agent skills.
okareo-ai
Simulate and evaluate voice & text agents from your editor. Generate synthetic-user "Drivers" from your codebase, run multi-turn simulations against your agents, and pull back transcripts, traces, and scores without leaving your AI assistant.
ingero-io
eBPF-based GPU causal observability agent with MCP server. Traces CUDA Runtime/Driver APIs and host kernel events to build causal chains explaining GPU latency
devhelmhq
MCP server for uptime monitoring, incident management, alerting, and dependency status tracking. Gives AI agents tools to create and manage HTTP/DNS/TCP/ICMP monitors, handle incidents, configure alert channels, and query third-party service health.
iris-eval
The first MCP-native eval and observability tool for AI agents. Any MCP-compatible agent discovers and uses Iris automatically — no SDK, no code changes. Log traces with hierarchical span trees, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost
Suraj1245
MCP server template based on the Yokai Go framework.
corewebvitals
Query LCP, INP, and CLS field data from real visitors. Three tools: get_metrics, get_timeseries, get_histogram. Filter and group by device, country, page path, browser, OS, and 20+ dimensions. All data is real user monitoring (RUM) at the p75 percentile, the standard Google uses
VictoriaMetrics-Community
Galadriel-Tech-Solutions
Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.
adanb13
Cirdan maps and watches the live infrastructure your agent session can reach — Docker, Kubernetes, cloud, IaC, and telemetry — then exposes it over MCP. It fingerprints the environment, builds a dependency graph, detects incidents, and can run evidence-backed actions. It inherits
debugbundle
DebugBundle turns runtime failures, critical-path issues, and availability checks into incidents with full context, alerts, remote probes, and deterministic debug bundles for humans and AI agents.
auralogs-ai
Hosted, read-only MCP server for Auralogs production logs. Agents search logs, inspect errors with full stack and metadata, and review AI analyses (diagnosis, suggested fix, PR link) over Streamable HTTP with a project-scoped read key. Free tier: 10,000 logs/month.
s-b-e-n-s-o-n
Full MCP server for the Portkey AI Gateway Admin API. 151 tools for managing prompts, configs, virtual keys, analytics, guardrails, integrations, and more from any MCP client.
masondelan
Selvedge is a local, open-source MCP server that captures the *why* behind every change AI coding agents make — live, in the moment, from the agent's own context (not inferred later by a second LLM). It logs the entity (DB column, table, function, route, env var, dependency), the
zhaoyue722
A local-first, multi-provider cost meter for LLM usage, exposed as MCP tools. Captures every call into a local SQLite ledger and lets any coding agent query spend, compare providers, and get recommendations — no cloud, no account. First-class support for Chinese providers (Qwen,
mpeirone
🔌 Complete MCP server for Zabbix integration - Connect AI assistants to Zabbix monitoring with 40+ tools for hosts, items, triggers, templates, problems, and more. Features read-only mode and comprehensive API coverage.
chiefnamingofficer
Learning what it means to use MCP by trying to interact with Dynatrace MCP server.
lightrun-platform
Lightrun MCP connects AI coding assistants to live runtime context from production and staging applications for safe code-level debugging without redeploying. It lets MCP-compatible clients discover runtime sources, inspect live expression values, capture call stacks, measure exe
nayanprasad
AgentOps-AI
The AgentOps MCP server provides access to observability and tracing data for debugging complex AI agent runs. This adds crucial context about where the AI agent succeeds or fails.
olympeio
Nody provides a powerful MCP Composer for creating and managing custom MCP servers. It enables you to personalize each tool's name and description to add context, helping agents use them with fewer tokens. It manages the configurations and secrets of MCP servers in one secure pla
jonchun
ShellGuard is an MCP server that lets LLM agents securely SSH into remote Linux hosts with read-only shell access. Instead of copy-pasting terminal output, your AI can run safe diagnostics, inspect logs, query systems, and troubleshoot production, staging, or dev environments aut
tessera-llm
MCP server for Tessera's LLM cost-optimization layer. Anchored spend, drift detection, recommendations as typed tools.
DrDroidLab
The Signoz MCP Server lets you connect developer tools like Cursor or Claude Desktop to your Signoz instance. It's an open-source project maintained by DrDroid (not affiliated with Signoz), and allows you to query logs, dashboards, metrics, and more — making observability data di
archimedes-market
Curated by Archimedes Market. AWS Cost Explorer + Anomaly Detection exposed as MCP tools. Surface unusual spend by service, account, or tag. Pull cost breakdowns, forecasts, savings recommendations. Read-only IAM — refuses to start if the role can modify resources. → archimedes.m
therealsachin
Production-ready Langfuse MCP Server with 28 tools for LLM analytics, cost monitoring, and dataset management. Features secure dual-mode operation (readonly & readwrite), real-time cost analysis, trace debugging, and comprehensive usage insights. Deploy instantly with npx for sea
MCP-Mirror
Mirror of
cloudbring
Run NRQL, NerdGraph, and REST v2 operations to query data, manage incidents, create synthetics, and annotate deployments — all from your MCP client.
getnahook
The official Model Context Protocol server for Nahook — trigger webhooks, inspect
xprilion
Observability helps. This MCP server adds tracing to all your conversations on Claude (or suitable MCP client) so that you can trace, understand, debug and report on your all your interactions.
zbirenbaum
vincentvella
Drives a browser - or a native Expo/React Native app on iOS/Android - and your dev server, putting both on one correlated timeline so a browser console error and the backend stack trace from the same moment line up. For Claude Code and AI agents.
drumbeats-io
Operate Drumbeats monitoring from any AI client — create cron/heartbeat and uptime monitors, triage incidents, and run HTTP/SSL/DNS diagnostics (no account needed for diagnostics).
EliBarak12
Turn any API or database into agent-ready MCP tools — minimal tokens, structured errors, full observability.
BetterDB-inc
MCP server for Valkey and Redis observability. Query real-time health, slow commands, hot keys, anomaly detection, and cluster analytics directly from your AI assistant.
fishcoco-code
Non-invasive AI Agent operation monitoring — audit every API call your agent makes to Shopify, Meta Ads, and more. Real-time alerts, audit logs, and operation history. Works with Claude Desktop, Cursor, and any MCP-compatible AI tool.
ankorstore
MCP server template based on the Yokai Go framework.
Anuj7411
Open-source MCP server and PreToolUse hook for Claude Code. Exposes 15 MCP tools that let Claude inspect its own context-hygiene stats mid-session (token waste, duplicate reads, drift, cost forecasts), and caps verbose tool output plus dedups same-session file re-reads to keep co
Common questions about MCP servers and clients tagged #observability
An MCP server tagged #observability implements the Model Context Protocol so AI assistants like Claude, Cursor, and VS Code can access observability-related tools, data, or APIs.
mcp.so currently lists 51 MCP servers and clients tagged #observability.
Open any server below and copy its install snippet into Claude Desktop, Cursor, VS Code, or another MCP client's configuration — remote servers need no separate download.