kubernetes-mcp-server is a skill AI agent for Provide standardized context management and orchestration for AI workloads to help developers integrate and manage AI models efficiently. Pricing: Not specified. As of 2026-10-27, KanonAgent records 10 upvotes. First indexed by KanonAgent on 2026-07-09.
An MCP server for Kubernetes and OpenShift that standardizes AI model context management and orchestration.
10 upvotes
Tracked by Kanon since Jul 9, 2026
Status basis: npm_downloads_7d gained 17274 in the last 3d vs 860 in the 3d before (ratio 20.1x, threshold 1.5x)
📈 Timelinewhat changed, and when
- Accelerating npm_downloads_7d gained 17274 in the last 3d vs 860 in the 3d before (ratio 20.1x, threshold 1.5x)
- Anomaly daily change 5758.0 is 4.0 standard deviations from this entity's own prior mean (185.5±1404.0, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 860 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 5758.0 is 4.0 standard deviations from this entity's own prior mean (185.5±1404.0, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 860 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Cooling npm_downloads_7d momentum fell to -4720 per 3d from 322 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -4720 per 3d from 450 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 352 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 352 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -3073 per 3d from 3360 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -2386 per 3d from 4987 (<= 40% of the prior window)
- Cooling npm_downloads_7d momentum fell to -480 per 3d from 5280 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 3360 in the last 3d vs 1440 in the 3d before (ratio 2.3x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to -480 per 3d from 5280 (<= 40% of the prior window)
- Accelerating npm_downloads_7d gained 4987 in the last 3d after a flat 3d baseline (no prior movement to compare a ratio against)
- Anomaly daily change 3840.0 is 3.9 standard deviations from this entity's own prior mean (231.0±918.1, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 5280 in the last 3d vs 3326 in the 3d before (ratio 1.6x, threshold 1.5x)
- Cooling npm_downloads_7d momentum fell to 1440 per 3d from 4713 (<= 40% of the prior window)
- Anomaly daily change 3840.0 is 3.9 standard deviations from this entity's own prior mean (231.0±918.1, baseline excludes this point) — unusual, not necessarily adoption
- Anomaly daily change 3326.0 is 4.6 standard deviations from this entity's own prior mean (48.0±710.7, baseline excludes this point) — unusual, not necessarily adoption
- Cooling npm_downloads_7d momentum fell to 0 per 3d from 4713 (<= 40% of the prior window)
- Anomaly daily change 3326.0 is 4.6 standard deviations from this entity's own prior mean (48.0±710.7, baseline excludes this point) — unusual, not necessarily adoption
- Accelerating npm_downloads_7d gained 3954 in the last 3d vs 2300 in the 3d before (ratio 1.7x, threshold 1.5x)
- Accelerating npm_downloads_7d gained 4713 in the last 3d vs 2531 in the 3d before (ratio 1.9x, threshold 1.5x)
🔎 Known / Unknown
14 of 23 fields unknown
| Machine-callable | — | unknown | — |
| Open source | 1 | verified | 1 quote(s) |
| Self-hostable | — | unknown | — |
| Bring your own key | — | unknown | — |
| Autonomy level | 2 | inferred | 1 quote(s) |
| Pricing model | — | unknown | — |
| Integrations | mcp | inferred | 1 quote(s) |
“Unknown” means we have not verified it — it is not a “no”. Hard filters never treat unknown as false.
🤖 Agent teardown · skill
Job to be doneProvide standardized context management and orchestration for AI workloads to help developers integrate and manage AI models efficiently.
AutonomyL2 · tool-calling(evidence: "Perform operations on **any** Kubernetes or OpenShift resour…")
Who it is forDevelopers
Prerequisitesopen source
Integrationsmcp
PricingNot specified
Traction · why it is rising19
Why it matters
Addresses a key challenge in AI infrastructure by enabling consistent, composable AI services in Kubernetes environments.
Evidence quotesverbatim, from the product’s own materials
“public GitHub repository (README fetched)”— structural
“Perform operations on **any** Kubernetes or OpenShift resource.”— readme
“Model Context Protocol (MCP) server for Kubernetes and OpenShift”— description
“A powerful and flexible Kubernetes Model Context Protocol (MCP) server”— readme
Signal source: GitHub
Visit official site →
📛 Official badgefor your site / README
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FAQ
What is kubernetes-mcp-server?
An MCP server for Kubernetes and OpenShift that standardizes AI model context management and orchestration.
What does kubernetes-mcp-server do?
Provide standardized context management and orchestration for AI workloads to help developers integrate and manage AI models efficiently.
Why does kubernetes-mcp-server matter?
Addresses a key challenge in AI infrastructure by enabling consistent, composable AI services in Kubernetes environments.
How much does kubernetes-mcp-server cost?
Not specified
Is kubernetes-mcp-server open source?
Yes — kubernetes-mcp-server is open source.
What does kubernetes-mcp-server integrate with?
mcp
How popular is kubernetes-mcp-server?
As tracked by KanonAgent: 10 upvotes (first indexed 2026-07-09).
What are the best kubernetes-mcp-server alternatives?
Similar AI agents tracked by KanonAgent: Stealth Venture, ECC, orca, Agent-Reach, taste-skill, archify.