Google Kubernetes Engine MCP Server

What you get

the numbers that matter

Starting price

Priced on scope

starting price

Ready in

≈ 2 weeks

signed to first PR

Retention

96%

engagements renewed

Match

96%

to your stack & domain

Use Google Kubernetes Engine MCP Server to connect engineering agents with gKE resources through Google Cloud remote MCP infrastructure. The key operational benefit is to connect cluster operations to AI assistants while preserving Google Cloud IAM governance.

How this operator works

every way of working, already decided

A · capability focus

Owns the system, not the ticket

Takes end-to-end ownership of a service or surface. Design, delivery, on-call. And is measured on outcomes, not hours.

B · ways of working

Embedded, async-first, instrumented

Works inside your repos, your CI and your rituals. Daily written standups, decisions logged. No status-meeting tax.

C · reliability posture

Runbooks, canaries, reversible deploys

Every change gated and reversible. Incidents get a timeline and a postmortem; nothing ships without a rollback.

D · comms & cadence

Plugged into your Slack & rituals

Joins standups and retros, reports weekly against the goal. You get an operator, not a queue.

E · tooling

Brings a pre-wired stack or adopts yours

Infrastructure and observability as code by default. No bespoke setup tax to absorb.

F · onboarding

Scoped, gated, reversible

Week-1 shadow, week-2 ownership, swap on request inside the trial window. No long-tail handover risk.

What it connects

What engineering teams can do

Example workflow: Summarize production GKE cluster health and identify workloads or resources associated with recent restarts.

Enterprise MCP Gateway deployment

Grade A (gateway-ready): vendor-managed remote HTTP/OAuth or similarly strong enterprise control. Default posture: list and enable after connector certification.

Server-specific posture: Use workload/user IAM, narrow project scope and explicit approval for cluster/workload mutations.

What's included

in every engagement · no add-ons

✓Embedded operatorfull-time, in your timezone overlapincl.

✓Daily written standuplogged, async, searchableincl.

✓Code review & pairingon your PRs, dailyincl.

✓Weekly progress reportagainst the goalincl.

✓Scrums.com delivery managerescalation + cadence ownerincl.

✓No-fault replacement guaranteecovered for the engagementincl.

Track record

deployments on real systems · anonymized

SectorSystemOutcomeSpanStatus

Fintechpayments-core ledger99.97% achieved14 mocomplete

Commercecheckout platform−38% incident rate9 mocomplete

Health SaaSdata plane0 SEV1 in 6 mo11 moactive

Logisticsrouting enginezero-downtime cutover7 mocomplete

AI infrainference clusterp99 −120 ms5 moactive

Works inside your stack

surfaces this operator binds to

SurfaceBindingDirectionAuth

Source controlgithub.com/<org>reviews + writesOIDC

CI / CDscm-flow · deploy-servicegates deploysOIDC

Observabilityotlp://collector:4317metrics + alertsmTLS

Commsslack://<workspace>standups, incidentsSSO

Secretsvault://scrums/op/<id>short-lived credsSPIFFE

On-callpagerduty://<org>primary / secondaryAPI token

Boundaries

what to deploy instead

Scoped to this discipline. For an adjacent capability, compose a second operator into the squad. compose →

Not a fractional advisory engagement. For advisory-only, contact platform@scrums.com.

Deployments

the only social proof we publish

402deploys

across 38 organizations

+24 last 30 days · median age 11.4 mo · retention 96%

Live telemetry

this operator's system surface

system map

signals · last 24h

deploys18

p99 latency112 ms

error rate0.02%

incidents0

Pricing

one number · one footnote

starting price

Priced on scope

All-in: the operator, delivery manager and replacement guarantee. No recruiter fee, no markup surprises.

Final pricing computed at deploy from your committed envelope, region and account tier.

FAQ

common questions

How is Google Kubernetes Engine MCP Server priced?+

Priced on scope. Request a quote and pricing is computed from the work envelope.

Is Google Kubernetes Engine MCP Server available now?+

Yes. It is published and deployable directly from the Scrums.com catalog.

Can a Google Kubernetes Engine MCP Server deployment be reversed?+

Yes. Deployments are reversible with a one-click swap inside the trial window.

Who provides Google Kubernetes Engine MCP Server?+

Google Cloud, vetted by the Scrums.com platform.

How it compares

vs other agents

Option	From	Stack	Status
Google Kubernetes Engine MCP Server · this one	Priced on scope	mcp · google cloud · gke	● available
Qdrant MCP Server	Priced on scope	mcp · qdrant · vector database	● available
Pinecone MCP Server	Priced on scope	mcp · pinecone · vector database	● available
Databricks SQL MCP Server	Priced on scope	mcp · databricks · sql	● available

Commonly deployed with

more agents

AgentsCAT-30031039

Qdrant MCP Server

Qdrant MCP Server gives approved AI clients access to qdrant vector-memory workflows for storing and retrieving semantically relevant context. It is most valuable where teams want to provide engineering agents with an explicit semantic memory or retrieval layer for code and technical knowledge.

mcpqdrantvector databasesemantic search

QdrantVIEW →

AgentsCAT-30031040

Pinecone MCP Server

Use Pinecone MCP Server to connect engineering agents with pinecone documentation, index management, upserts and vector queries. The key operational benefit is to let AI engineers build and operate retrieval systems directly from their coding agents.

mcppineconevector databaserag

PineconeVIEW →

AgentsCAT-30031041

Databricks SQL MCP Server

Databricks SQL MCP Server is a first-party MCP surface for aI-generated SQL against Unity Catalog tables with read/write governed by Databricks permissions. The engineering-leadership use case is straightforward: connect engineering and data agents to governed SQL execution over enterprise data.

mcpdatabrickssqlunity catalog

DatabricksVIEW →