Run K8sGPT as an MCP server so an agent can scan a Kubernetes cluster, explain unhealthy resources, and return prioritized remediation clues in natural language.
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Run K8sGPT as an MCP server so an agent can scan a Kubernetes cluster, explain unhealthy resources, and return prioritized remediation clues in natural language.
日本語の概要は準備中です。原文の説明を表示しています。
Scaffold, build, and run MCP servers from a predictable Python project layout with tools, prompts, resources, auth, and OpenTelemetry hooks.
日本語の概要は準備中です。原文の説明を表示しています。
Cloud control-plane reconnaissance for AWS, Azure/Entra, GCP, and Alibaba Cloud: identity, IAM/RAM, trust, resources, metadata, and managed-Kubernetes cloud-side boundary. Recon only — no policy changes, no privilege escalation. Operator may select /cloud-attack or /k8s.
日本語の概要は準備中です。原文の説明を表示しています。
Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (LCP, INP, CLS) and supplementary metrics (FCP, TBT, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. Biases towards retrieval from current documentation over pre-trained knowledge.
日本語の概要は準備中です。原文の説明を表示しています。
Builds depletion models with production decline, reserve replacement economics, and terminal value analysis for finite-life assets. Use when modeling depletion, analyzing resource longevity, or evaluating reserve life economics.
日本語の概要は準備中です。原文の説明を表示しています。
Builds mining project financial models with resource estimation, mine plan integration, and commodity price sensitivity analysis. Use when modeling mining investments, analyzing feasibility studies, or evaluating mineral assets.
日本語の概要は準備中です。原文の説明を表示しています。
Builds renewable energy yield models with resource assessment, capacity factor analysis, and P50/P90 production estimates. Use when modeling wind/solar yields, analyzing resource data, or evaluating production uncertainty.
日本語の概要は準備中です。原文の説明を表示しています。
Assesses upstream oil and gas assets with reserve estimation, production decline curves, and net asset value modeling. Use when evaluating E&P assets, analyzing reserve reports, or modeling upstream economics.
日本語の概要は準備中です。原文の説明を表示しています。
Builds carbon credit models with offset generation analysis, verification costs, and market pricing dynamics for carbon-linked investments. Use when modeling carbon credits, analyzing offset economics, or evaluating carbon market exposure.
日本語の概要は準備中です。原文の説明を表示しています。
Structures portfolio company engagement with board preparation, hiring support, business development, and follow-on strategy. Use when supporting portfolio companies, preparing board meetings, or coordinating investor resources.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates environmental liability exposure with remediation cost estimation, regulatory compliance requirements, and insurance coverage assessment. Use when analyzing environmental liabilities, estimating cleanup costs, or assessing environmental risk.
日本語の概要は準備中です。原文の説明を表示しています。
Assesses critical mineral investments with supply chain mapping, geopolitical risk, and processing infrastructure analysis. Use when evaluating critical minerals, analyzing lithium/cobalt supply, or assessing rare earth investments.
日本語の概要は準備中です。原文の説明を表示しています。
Assesses timberland and agricultural investments with biological growth rates, harvest economics, and land value appreciation. Use when evaluating timber investments, analyzing farmland, or assessing biological asset returns.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates mineral and hydrocarbon reserves with classification methodology, resource conversion rates, and valuation per unit analysis. Use when analyzing reserve reports, validating resource estimates, or assessing depletion profiles.
日本語の概要は準備中です。原文の説明を表示しています。
Structures technical and commercial DD for resource assets with geological review, operational assessment, and regulatory evaluation. Use when conducting resource DD, evaluating technical reports, or assessing operational risk.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates water rights valuation with seniority analysis, regulatory framework assessment, and allocation risk for resource investments. Use when analyzing water rights, evaluating water allocation, or assessing water risk.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates OFS sector investments with rig count sensitivity, day rate analysis, and technology adoption curves. Use when analyzing oilfield services, evaluating service company economics, or assessing technology uptake.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates electricity market design with capacity payments, energy margins, ancillary services, and renewable intermittency management. Use when analyzing power markets, evaluating merchant exposure, or assessing capacity market dynamics.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates midstream assets with throughput analysis, fee-based vs commodity-exposed revenue, and contract structure assessment. Use when analyzing midstream investments, evaluating pipeline assets, or assessing gathering systems.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates asset retirement and decommissioning liabilities with cost estimation, timing analysis, and funding adequacy assessment. Use when analyzing decommissioning costs, evaluating ARO exposure, or assessing abandonment liability.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates commodity price exposure with forward curve analysis, hedging strategies, and break-even price sensitivity. Use when analyzing commodity risk, designing hedging programs, or stress testing price assumptions.
日本語の概要は準備中です。原文の説明を表示しています。
Verifies repository baseline test passing state and available memory/GPU resources to ensure safe mission execution.
日本語の概要は準備中です。原文の説明を表示しています。
Create production-ready Kubernetes manifests for Deployments, Services, ConfigMaps, and Secrets following best practices and security standards. Use when generating Kubernetes YAML manifests, creating K8s resources, or implementing production-grade Kubernetes configurations.
日本語の概要は準備中です。原文の説明を表示しています。
Profile and optimize Shiny application performance using profvis, bindCache, memoise, async/promises, debounce/throttle, and ExtendedTask for long-running computations. Use when the app feels slow or unresponsive during user interaction, when server resources are exhausted under concurrent load, when specific operations create bottlenecks, or when preparing an app for production deployment with many concurrent users.
日本語の概要は準備中です。原文の説明を表示しています。