Best Telemetry AI Skills & MCP Servers

MCP Server for Jaeger

Enterprise-grade MCP server for live docs, best practices, code audit. Context7 alternative — 445+ libraries, smart dispatch (use gt mcp), plain-text intent routing, telemetry, SSRF-hardened multi-source fetcher, atomic disk cache, IPv6 + Unicode-homoglyp

Observability for MCP servers and LLM applications — traces, metrics, dashboards. One-line instrumentation for OpenAI, Anthropic, Gemini, and MCP. Self-hosted with Grafana + Prometheus + Jaeger.

MCP (Model Context Protocol) Instrumentation

Model Context Protocol server for the XRPL-Utilities portfolio: Sentinel (wallet classifier), Pulse (signal feed), Telemetry (supply + utility floor), Trust (XLS-70/80/81 directory), Vault (RWA tracker), and Flows (ETF AUM vs XRPL flow correlation). Expos

OpenTelemetry instrumentation for MCP servers

Production-grade Kubernetes MCP Server - Complete kubectl coverage with Infrastructure Protection, Helm support, Diagnostics, Response Caching, 269 tools, Direct Exec, OpenTelemetry

Emcy telemetry SDK for MCP servers - track tool invocations, errors, and performance

Agent-native TypeScript framework for building MCP servers. Declarative definitions with auth, multi-backend storage, OpenTelemetry, and first-class support for Bun/Node/Cloudflare Workers.

MCP-first SKILL.md routing for AI agents: local embeddings, SQLite sessions and telemetry, optional LLM rerank paths, regex route policies and project overlays, companion conversation preset, parity CLI.

Convert OpenAPI specifications to MCP (Model Context Protocol) servers with optional Emcy telemetry

MCP server for AI agents to investigate OpenTelemetry traces, metrics, and logs

Runtime verification for AI coding agents. MCP server that lets Claude Code verify code changes work end-to-end via Playwright + OpenTelemetry + SigNoz.

MCP server for generating game assets using AI (images, sprites, weapons, backgrounds, logos, thumbnails, music). gpt-image-2 pipeline, cost/latency telemetry, stateful HTTP sessions, Phaser layer mapping, quality review.

Charge schedule for a fleet of telepresence robots — predicts when each needs docking.