AIOps Field Notes
Audit an MCP config, price a model, size a GPU, explain network config drift. Key-free.
Servidor MCP · de getlarkwright
Resumen
AIOps Field Notes es un servidor MCP publicado por getlarkwright. Marketplaces que leemos y que lo publican: 1 (Official MCP Registry). Lo vimos por primera vez el 2026-11-07 y desde entonces no hemos registrado cambios. Según nuestra pasada por los marketplaces del 2026-11-08.
Qué pide
- Se ejecuta en tu equipo
Ninguno de los marketplaces que leemos publica sus herramientas ni los ajustes que pide.
Lo que declara, pide y ejecuta, completo
Instala solo plugins de desarrolladores en los que confíes. Mostramos lo que publican los marketplaces y no probamos plugins.
Funciona con
- Claude Code
- Codex
- Cursor
- VS Code
- Copilot CLI
Un enlace de un clic abre el cliente, que pide confirmación antes de añadir el servidor.
Según los marketplaces que lo listan y el transporte MCP que declara, tal como lo documenta cada cliente. No probamos plugins.
Conectar
Comandos y configuraciones generados solo a partir de lo que declaran sus marketplaces. No los ejecutamos por ti ni probamos plugins.
Como servidor MCP local: imagen de Docker
Generado a partir de lo que declara Official MCP Registry.
claude mcp add --transport stdio aiops-field-notes-mcp -- docker run -i --rm ghcr.io/getlarkwright/aiops-field-notes-mcp:0.1.2[mcp_servers.aiops-field-notes-mcp]
command = "docker"
args = ["run", "-i", "--rm", "ghcr.io/getlarkwright/aiops-field-notes-mcp:0.1.2"]{
"mcpServers": {
"aiops-field-notes-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/getlarkwright/aiops-field-notes-mcp:0.1.2"
]
}
}
}docker run -i --rm ghcr.io/getlarkwright/aiops-field-notes-mcp:0.1.2Dónde está publicado
| Marketplace | Estado | Versión | Cifras | Verificado | Visto por primera vez |
|---|---|---|---|---|---|
| Official MCP Registry (Abrir el registro) | Publicado | 0.1.2 | Forks (GitHub): 0 Estrellas (GitHub): 0 |
Sin marca |
Cada cifra es del propio marketplace y nunca se suma entre marketplaces. Un marketplace que no publica cifras no muestra ninguna: sin número no es cero.
Qué cambió
- Pasó a ser un producto que seguimos
- Official MCP Registry: apareció
Forks y copias
Plugins similares
Productos cuyos propios nombres, descripciones, herramientas y skills son los más cercanos a este por su significado, en todos los marketplaces que leemos. La cercanía se ordena solo dentro de esta lista.
-
Audit an MCP config, price a model, size a GPU, explain network config drift. Key-free.
-
LLM serving capacity planner: VRAM, KV cache, GPU topology, latency, and cost.
-
Governed GPU inference ops (vLLM + Ray Serve): latency RCA, scaling, drain, 39 tools.
-
Run DeepInfra inference, list models and read account rate limits.
-
Find AI models that fit a job from your requirements, sourced benchmarks and real cost.
-
Find the cheapest AI model that passes your tests: audit repo models, build evals, routing, sizing
-
VMware Private AI (GPU & Model Serving)
VMware Private AI (NVIDIA): GPU inventory, vGPU profiles, utilization, model serving — 20 tools
-
replicate com.mcparmory/replicate
Run AI models, create deployments, and manage predictions via cloud API
-
Read-only MCP for AI usage profiles, leaderboards, stats, and docs; no writes or private data.
-
GPU nodes and clusters, custom experiments, AI training and calculation reports for team workspaces.
Plugins similares por marketplace
La misma pregunta a cada marketplace por separado: ¿hay allí un equivalente de este plugin?
Publicado en Claude Code: claude-plugins-community (5)
-
Claude model selection advisor — recommends optimal model for each task via shell hook. Zero attack surface.
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Cloud cost + FinOps knowledge for AI agents: AWS/Azure/GCP optimisation, AI spend, waste playbooks.
-
DataRobot Agent Skills - Agentic skills for DataRobot enterprise AI and ML workflows. Covers model training, deployment, predictions, feature engineering, monitoring…
-
agent-discover io.github.keshrath/agent-discover
Find, install and enable MCP servers mid-session on any host, with consent and tool pinning
Publicado en Claude Code: claude-plugins-official (5)
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
Dynatrace observability skills: DQL query patterns, application and infrastructure monitoring, log analysis, problem investigation, and incident response workflows, with the…
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Find the right NVIDIA skill for GPU acceleration, CUDA, AI agents, data loading, training, inference, robotics, Physical AI, Omniverse, simulation, and other NVIDIA-powered…
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
Publicado en Claude: knowledge-work-plugins (5)
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Use Datadog directly in Claude Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation. This plugin is in…
-
Official SigNoz plugin for MCP setup, docs, queries, dashboards, and alerts
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
Publicado en Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Cloudflare platform plugin with curated skills for Workers, Wrangler, and Agents SDK plus the official Cloudflare API MCP server.
Publicado en Community GitHub marketplaces (5)
-
CLI and MCP server for Gradient MSP Synthesize: usage push, billing drift, alert tracing.
-
Claude Code plugin for sparkrun - launch, manage, and stop LLM inference workloads on NVIDIA DGX Spark systems. Provides slash commands and skills for recipe browsing, cluster…
-
LLM serving benchmarks, SGLang model Day-0 support, profiling, code review, prod incident triage, PR-history dossiers, and SGLang explainer videos.
-
Deploy ML models with FastAPI, Docker, Kubernetes. Use for serving predictions, containerization, monitoring, drift detection, or encountering latency issues, health check…
-
Machine-learning training and benchmarking on rented cloud GPUs: prebaked RunPod images that boot in seconds instead of minutes, pod lifecycle scripts, GPU selection and pricing…
Publicado en Copilot CLI: github/awesome-copilot (5)
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
Use Datadog directly in Copilot / VS Code through a preconfigured Datadog MCP server. Query logs, metrics, traces, dashboards, and more through natural conversation.
-
Visualizes live session AI-credit usage as a Pac-Man board with pellets, ghosts, fruit milestones, and game-over limits.
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform…
Publicado en Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Advanced Security plugin for GitHub Copilot.
-
workiq
Query Microsoft 365 data with natural language — emails, meetings, documents, Teams messages, and more.
Publicado en Cursor: cursor/plugins (5)
-
Let Grok Bot reach MCP servers on your private Tailscale network: connect your own tailnet, or your team's company tailnets turned on by a team admin, with each member using their…
-
Ask Databricks Genie questions about your workspace's data in plain language.
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Query and remediate compliance tests, controls, frameworks, risks, and vulnerabilities in Vanta.
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
Publicado en Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Seamless interaction with Novita AI platform resources.
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
-
MCP Server to interact with a SuzieQ network observability instance via its REST API.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
Publicado en Official MCP Registry (5)
-
Audit an MCP config, price a model, size a GPU, explain network config drift. Key-free.
-
LLM serving capacity planner: VRAM, KV cache, GPU topology, latency, and cost.
-
Governed GPU inference ops (vLLM + Ray Serve): latency RCA, scaling, drain, 39 tools.
-
Run DeepInfra inference, list models and read account rate limits.
-
Find AI models that fit a job from your requirements, sourced benchmarks and real cost.
Publicado en PyPI (MCP servers) (5)
-
replicate com.mcparmory/replicate
Run AI models, create deployments, and manage predictions via cloud API
-
Hanzo MCP Server - Unified tool surface with AI, cloud control, vector search, and multi-framework UI
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
mcp-openai io.github.AceDataCloud/mcp-openai
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
-
Langfuse MCP server for accessing and analyzing telemetry data via natural language
Publicado en npm registry (MCP servers) (5)
-
Intelligent CLI tool with AI-powered model selection that analyzes your hardware and recommends optimal LLM models for your system
-
Hanzo MCP Server - Unified tool surface with AI, cloud control, vector search, and multi-framework UI
-
Run any model on the live WaveSpeed catalog: image, video, audio, 3D.
-
13 years of Microsoft hyperscale engineering, packaged as a harness for your AI coding agent.
-
infra-lens-mcp io.github.oaslananka/infra-lens-mcp
SSH Linux metrics, baselines, anomaly detection, and plain-English infrastructure explanations.
Encontrados por significado, no por código ni repositorio compartidos: los plugins similares siguen siendo productos distintos, y esto no es una reseña ni una recomendación.
¿Quieres esta marca para tu plugin en nuestro catálogo?
Demuestra que lo mantienes con un archivo en su repositorio, un archivo en tu dominio o un registro DNS, y podrás mostrar esta marca en la ficha, con banners en vivo para tu web y tu README. Cómo funciona la verificación
Además recibirás avisos cuando un marketplace lo publique, lo retire, cambie su marca verificada o lo que pide, y su endpoint remoto quedará monitorizado como un servicio web.
Datos de Official MCP Registry. Las cifras proceden de nuestros propios recorridos periódicos por los marketplaces, leída por última vez el . No publicamos datos de contacto de los editores de plugins.