"Observability" matching MCP servers:

A comprehensive Model Context Protocol (MCP) server for Grafana, Prometheus, Kafka UI, and Datadog. Features a secure "Bring Your Own Key" (BYOK) architecture where credentials stay local. Provides tools for metrics querying, dashboard inspection, Kafka lag monitoring, and unified health checks.

Maintenance, recovery, and observability for Claude Code. CLI + MCP server + dashboard.

Exposes FastAPI routes as MCP tools with auto-discovery, Pydantic schema extraction, and built-in observability.

Production-ready MCP server starter with authentication, observability, and a plugin system for building and deploying MCP servers quickly.

Radar is an open-source Kubernetes observability and diagnostics MCP server. It exposes cluster health, workload diagnosis, logs, events, topology, audit findings, and remediation actions to AI agents through the Model Context Protocol.

Fetches Langfuse observability traces directly into a VS Code coding agent's context, enabling querying and viewing trace data through natural language.

AI development observability platform. It silently captures structured data from vibe coding sessions via MCP and codifies deviation patterns into project rules to make AI write better code. 100% local and zero runtime dependencies.

Self-healing proxy for MCP servers that wraps tool calls with automatic retry, circuit breaker protection, and observability.

Safety-first GitOps operations for ArgoCD via the Model Context Protocol. Enables listing, diagnosing, syncing, and managing ArgoCD applications with progressive disclosure and defense-in-depth security.

A production-grade, extensible Python template for building Model Context Protocol servers with support for Streamable HTTP and stdio transports. It provides a structured framework for implementing tools, resources, and prompts with built-in authentication, observability, and background task management.

Connects AI agents to live observability stacks including Sentry, GitHub, Vercel, Better Stack, and Cloudflare, enabling end-to-end incident investigation, deployment correlation, root cause analysis, and regression triage.

Enables language models to access LangSmith observability platform features including fetching conversation history, managing prompts, retrieving traces and runs, working with datasets and examples, and analyzing experiments.

A production-ready TypeScript template for building MCP servers with dual transport support (stdio/HTTP), OAuth 2.1 foundations, SQLite caching, observability, and security features including PII sanitization and rate limiting.

A Model Context Protocol server that provides comprehensive Electron application automation, debugging, and observability capabilities through Chrome DevTools Protocol integration.

An enterprise-grade MCP server that integrates AI agents with Google Sheets and Apps Script using over 100 specialized tools for automation and data analysis. It features a self-healing architecture with advanced security and observability for production-ready workflows.

A FastMCP (Python) server for Rocket.Chat with 28 tools covering channels, messages, threads, DMs, files, users, and analytics, plus AI governance, observability, and security features.

Open-source MCP and LLM gateway that aggregates MCP tools behind a unified endpoint with governance, observability, and explicit execution controls.

A comprehensive gateway and registry that unifies MCP, REST, and Agent-to-Agent services into a single secure endpoint for AI clients. It provides advanced capabilities including federation, virtual servers, rate-limiting, and OpenTelemetry observability.

AI-native developer observability MCP (Model Context Protocol) server that gives AI agents full-stack visibility into your development environment — browser, terminal, and processes — all in one unified interface.

Enables agents and scripts to explore and query enterprise databases and codebases, search symbols, find references, preview rows, and run read-only queries, and connect to enterprise tools such as issue trackers, source hosts, CI, scanners, and observability. It returns structured JSON for each command.

Enables local, turn-level governance observability for agent harness transcripts by ingesting sessions, judging each turn against workspace operating rules, and serving a viewer that shows compliance and token flow without sending data off-machine.

A TypeScript framework for building MCP servers with declarative tool, resource, and prompt definitions, built-in auth, multi-backend storage, and observability.

Flask Extension for apcore (AI-Perceivable Core) integration. Expose your Flask routes as MCP tools with auto-discovery, Pydantic schema inference, and built-in observability.

Enables AI agents to securely access local development capabilities such as files, Git, processes, browser control, Windows automation, WSL, and observability through MCP on Windows and macOS.

Enables exposing third-party data sources as Model Context Protocol servers with shared HTTP, rate limits, retries, caching, validation, and observability through thin per-source adapters.

It lets clients request design-time audits of Python and TypeScript agent applications for defects such as unbounded loops, ungated destructive actions, weak argument validation, insufficient run budgets, absent resiliency controls, overlooked evals, and poor observability. Findings include supporting evidence and feed an approval-driven mechanism for reviewing proposed fixes without mutating the original source.

Enables users to connect to and manage various Cloudflare services such as Workers, observability, DNS analytics, and more through natural language interactions via MCP clients.

Enables MCP clients to connect to and control Siglent oscilloscopes and power supplies over SCPI/TCP using typed tool calls with input validation, safety controls, and built-in observability.

Provides a centralized MCP gateway with connection pooling, real-time observability dashboard, and macOS menu bar integration, enabling efficient resource usage for AI coding clients.

An MCP server that demonstrates comprehensive observability with Sentry, OpenTelemetry, and Braintrust, providing tools for file, data, and HTTP operations along with real-time status and configuration resources.