51 #observability MCP Servers & Clients

MCP Gateway

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.

Yokai

ankorstore

Simple, modular, and observable Go framework for backend applications.

Golf

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 MCP Server

VictoriaMetrics-Community

The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

Dynatrace MCP Server

dynatrace-oss

MCP server for Dynatrace Observability

Last9 MCP Server

last9

Last9 MCP Server

Rollbar Mcp Server

rollbar

Model Context Protocol server for Rollbar

Renoun Mcp

98lukehall

Structural observability for AI conversations. Detects loops, stuck states, breakthroughs, and convergence patterns across 17 channels without analyzing content. MCP server + REST API.

Drumbeats Mcp

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).

The official Model Context Protocol server for Nahook — trigger webhooks, inspect

Betterdb Mcp

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.

Agentops Mcp

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.

Yokai MCP Template 🏗️

Suraj1245

MCP server template based on the Yokai Go framework.

New Relic MCP Server

cloudbring

Run NRQL, NerdGraph, and REST v2 operations to query data, manage incidents, create synthetics, and annotate deployments — all from your MCP client.

Langfuse MCP

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

Yokai MCP Server Template

ankorstore

MCP server template based on the Yokai Go framework.

DebugBundle

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.

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.

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

CoreDash. Real User Monitoring for Core Web Vitals

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

Mcp Aws Cost Anomaly

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

Auralogs

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.

Elliot

EliBarak12

Turn any API or database into agent-ready MCP tools — minimal tokens, structured errors, full observability.

Llm Usage & Cost Tracker

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,

Okareo

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.

Mcp Postgres Analytics

archimedes-market

Curated by Archimedes Market with a verified Trust Report (security, quality, license, complexity).

Selvedge

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

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

Devloop

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.

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

Ingero

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

Zabbix Mcp

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.

metoro-mcp-server

MCP-Mirror

Mirror of

Tessera MCP Server

tessera-llm

MCP server for Tessera's LLM cost-optimization layer. Anchored spend, drift detection, recommendations as typed tools.

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

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

Nody

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

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.

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.

TalkO11yToMe: Learning MCP Servers with Dynatrace Integration

chiefnamingofficer

Learning what it means to use MCP by trying to interact with Dynatrace MCP server.

Lightrun 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

Guardrly

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.

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.

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

MCP Telemetry

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.