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Cloud DevOps MCP Server

NPM · CLOUD-DEVOPS-MCP-SERVER

Cloud DevOps analysis with guarded Git, infrastructure, cloud and observability operations.

+6 this week 87 Trust /100

Last scanned (17 hours ago)

Scores higher than 90% of npm servers

Category CI/CD and DevOps

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security99
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 15 of 56 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency100
  • Source repository is publicly reachable at the declared URL. View diagnostics → Pass
  • Cryptographically verified build provenance (signed, bound to alexcgodwin/cloud-devops-mcp-server). View diagnostics → Pass
  • Clear OSI-approved license (MIT).Pass
  • Actively maintained (last published 13 days ago).Pass
  • Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability68
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 2642 tokens (~220/item across 12 items; 12 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management50
  • Stability observed for 15 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 12 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 13 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a current MCP spec version (2026-07-28).Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 15 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

  • 13 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.

  • 12 Oct 26 +16
    • Malware scan: unverified → pass ▲ security
    • Security disclosure: unverified → pass ▲ functional
  • 11 Oct 26 −12
    • Malware scan: pass → unverified ▼ security
    • Security disclosure: pass → unverified ▼ functional
  • 3 Oct 26 +26
    • Malware scan: unverified → pass ▲ security
    • Known CVEs: unverified → pass ▲ security
    • Dependency health: unverified → 0.90 ▲ functional
  • 2 Oct 26 +4
    • Malware scan: unverified → pass ▲ security
    • Known CVEs: unverified → pass ▲ security
    • Schema quality: pass → fail ▼ functional
    • Tool coverage: 6% → 100% ▲ functional
    • Stability: unverified → 0.03 ▲ functional
    • Dependency health: unverified → 0.90 ▲ functional
    • Schema quality: fair → excellent functional
    • Package version: 0.4.0 → 0.14.0 functional
    • Package version: 0.4.0 → 0.13.0 functional
    • Package version: 0.4.0 → 0.12.0 functional
    • Package version: 0.4.0 → 0.11.0 functional
    • Package version: 0.4.0 → 0.10.0 functional
    • Package version: 0.4.0 → 0.8.1 functional
    • Package version: 0.4.0 → 0.7.0 functional
  • 1 Oct 26 51

    First indexed and scored.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 16 Oct 2026 · Analysed npm/cloud-devops-mcp-server@0.14.0

Provenance Verified

A signed build attestation was found and verified, binding this exact artifact to the source repository it claims to come from.

Result Verified
Ecosystem npm
Reason Verified
Discovered via Registry attestation endpoint
Source repo alexcgodwin/cloud-devops-mcp-server
Certificate issuer https://token.actions.githubusercontent.com
Certificate SAN https://github.com/alexcgodwin/cloud-devops-mcp-server/.github/workflows/publish.yml@refs/tags/v0.14.0
Rekor log index 3056217672
Predicate type SLSA build provenance https://slsa.dev/provenance/v1
Subject digest sha512:2cb8168e9d0428654c8fa3b4286e6d9b9cf1d5e5cbfe867dd9c4f8e9857c4119719ab64856457b151496de1badbf93ef5ce2a166db02c28c768466271

Background: How many MCP packages publish verified provenance →

Dependencies 56 packages
Packages resolved 56
Stale 15
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 12 exposed · ~2,485 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
assess_cloud_change_bundle ~222

Correlate evidence from at least two domains (Terraform, IAM, Kubernetes, GitHub Actions) into one deployment-risk assessment and identify cross-domain change paths. Use domain-specific review tools when only one evidence domain is available. It analyzes caller-supplied artifacts only and does not query providers, clusters, GitHub, or deploy changes.

NameTypeReqDescription
changeNamestringyesName or identifier for the cloud change bundle being assessed.
environmentstringyesTarget deployment environment; production increases the consequence of correlated risk.
githubWorkflowsarray–Optional GitHub Actions evidence domain with up to 10 workflows; combine with at least one other domain.
iamPoliciesarray–Optional IAM evidence domain with up to 10 policies; combine with at least one other domain.
kubernetesWorkloadsarray–Optional Kubernetes evidence domain with up to 10 workloads; combine with at least one other domain.
terraformobject–Optional Terraform evidence domain. Supply this plus at least one other domain for cross-domain assessment.
NameTypeReqDescription
assessmentConfidencestringyes–
baseRiskScorenumberyes–
bundleRiskLevelstringyes–
bundleRiskScorenumberyes–
changeNamestringyes–
changePathsarrayyes–
correlatedFindingCountnumberyes–
correlatedFindingsarrayyes–
correlationAdjustmentnumberyes–
domainSummaryarrayyes–
environmentstringyes–
environmentRiskAdjustmentnumberyes–
recommendedActionsarrayyes–
releaseGatestringyes–
suppliedDomainsarrayyes–
uncertaintiesarrayyes–

No examples provided.

assess_terraform_change ~253

Evaluate Terraform/IaC release risk using plan evidence plus change-governance facts such as rollback, peer review and stateful impact. Use this for overall change/release decisions; for security-only inspection of a raw Terraform plan, use review_terraform_security. It analyzes supplied evidence only and never applies a plan, changes infrastructure, or writes Terraform state.

NameTypeReqDescription
changedResourcesarray–Infrastructure resource classes changed by the pull request or deployment.
hasPeerReviewboolean–Whether another qualified reviewer has reviewed the proposed change.
hasRollbackPlanboolean–Whether a documented rollback or recovery path exists for this change.
hasTerraformPlanboolean–Whether a Terraform plan artifact was generated and reviewed for this change.
includesIamChangesboolean–Whether the change adds, removes or modifies IAM permissions, roles or policies.
includesPublicIngressboolean–Whether the change introduces or modifies internet-accessible ingress or public network exposure.
modifiesStatefulResourcesboolean–Whether databases, persistent volumes or other stateful resources are changed or replaced.
terraformPlanJsonstring–Optional raw Terraform plan JSON. When supplied, the server derives resource classes and evidence.
NameTypeReqDescription
assessmentConfidencestringyes–
changedResourcesarrayyes–
checklistarrayyes–
evidencearrayyes–
recommendedReleasePathstringyes–
riskLevelstringyes–
riskScorenumberyes–
uncertaintiesarrayyes–

No examples provided.

build_incident_runbook ~150

Generate a practical incident-response runbook from a known service symptom, severity, environment and optional signals. Use this to structure response actions and evidence collection; do not use it to fetch or diagnose from live telemetry. It does not execute remediation or make changes to the service.

NameTypeReqDescription
environmentstringyesEnvironment where the symptom is occurring.
servicestringyesService or application name affected by the incident.
severitystringyesIncident severity used to scale response urgency and communications.
signalsarray–Optional known alerts, metrics, logs or traces that should guide triage.
symptomstringyesObserved user-facing or operational symptom to build the runbook around.
NameTypeReqDescription
communicationarrayyes–
contextobjectyes–
firstFifteenMinutesarrayyes–
mitigationarrayyes–
rcaEvidencearrayyes–
titlestringyes–
triageStepsarrayyes–

No examples provided.

estimate_slo_error_budget ~166

Calculate remaining SLO downtime budget and, when request counts are supplied, remaining failed-request budget for a fixed period. Use this as a deterministic budget calculator; do not use it to fetch monitoring data or forecast reliability. It performs no external calls and changes no service state.

NameTypeReqDescription
failedRequestsinteger–Optional failed request count; provide together with requestVolume.
observedDowntimeMinutesnumberyesDowntime already observed during the measurement period, in minutes.
periodDaysintegeryesLength of the SLO measurement period in calendar days.
requestVolumeinteger–Optional total request count for calculating a request-failure error budget.
sloTargetPercentnumberyesTarget service availability percentage for the measurement period, such as 99.9.
NameTypeReqDescription
allowedDowntimeMinutesnumberyes–
allowedFailedRequestsnumber––
budgetStatusstringyes–
failedRequestsnumber––
observedDowntimeMinutesnumberyes–
periodDaysnumberyes–
remainingDowntimeMinutesnumberyes–
remainingFailedRequestsnumber––
sloTargetPercentnumberyes–

No examples provided.

review_cicd_pipeline ~224

Evaluate generic CI/CD production-readiness controls from structured pipeline facts, separating missing evidence from failed controls. Use this for platform-agnostic delivery process review; for raw GitHub Actions YAML, use review_github_actions_workflow. It is analysis-only and does not trigger builds, deployments, approvals, or pipeline changes.

NameTypeReqDescription
deploymentStrategystringyesPrimary deployment strategy used to release changes.
environmentsarrayyesDeployment environments handled by the pipeline, for example dev, staging and production.
hasArtifactVersioningboolean–Whether build artifacts are immutable and versioned for traceability.
hasAutomatedTestsboolean–Whether automated tests run as a release gate.
hasManualApprovalForProductionboolean–Whether production deployment requires an explicit human approval gate.
hasRollbackboolean–Whether the pipeline has a defined rollback or recovery mechanism.
hasSecurityScanboolean–Whether the pipeline performs automated security scanning before deployment.
pipelineNamestringyesHuman-readable name of the CI/CD pipeline being reviewed.
NameTypeReqDescription
assessmentConfidencestringyes–
deploymentStrategystringyes–
findingsarrayyes–
pipelineNamestringyes–
readinessLevelstringyes–
readinessScorenumberyes–
recommendedGatesarrayyes–
strengthsarrayyes–
uncertaintiesarrayyes–

No examples provided.

review_cloud_identity_policy ~165

Apply deterministic provider-specific identity policy packs to raw AWS IAM, Azure RBAC or GCP IAM policy documents. Use this for cross-cloud identity security analysis; use review_iam_policy when assessing AWS IAM from mixed structured facts or policy JSON. It analyzes supplied policy JSON only and does not call cloud APIs or change permissions.

NameTypeReqDescription
environmentstring–Optional deployment environment used to contextualize policy risk; defaults are handled by the policy pack.
policyJsonstringyesRaw provider policy document in JSON form; AWS IAM, Azure role definition/assignment data, or GCP IAM policy.
policyNamestringyesName or identifier of the identity policy being reviewed.
providerstringyesCloud provider whose identity policy syntax and policy pack should be applied.
NameTypeReqDescription
assessmentConfidencestringyes–
criticalFindingsnumberyes–
environmentstringyes–
factsarrayyes–
findingCountnumberyes–
findingsarrayyes–
highFindingsnumberyes–
mediumFindingsnumberyes–
policyNamestringyes–
policyPackstringyes–
providerstringyes–
recommendedGatestringyes–
riskLevelstringyes–
riskScorenumberyes–

No examples provided.

review_github_actions_workflow ~292

Evaluate GitHub Actions workflow security and deployment readiness from structured facts or raw workflow YAML, including triggers, action pinning, token permissions, caching, environment protection and concurrency. Use review_cicd_pipeline for generic non-GitHub delivery-process review. It examines supplied evidence only and does not call GitHub or dispatch workflows.

NameTypeReqDescription
deploysToProductionboolean–Whether the workflow can deploy directly or indirectly to production.
hasConcurrencyControlboolean–Whether concurrency settings prevent overlapping or conflicting workflow runs.
hasDependencyCachingboolean–Whether dependency caching is configured for repeatable and efficient builds.
hasEnvironmentProtectionboolean–Whether protected GitHub environments or equivalent approval controls guard production deployments.
hasLeastPrivilegePermissionsboolean–Whether GITHUB_TOKEN permissions are explicitly restricted to least privilege.
hasSecretScanningboolean–Whether the workflow or surrounding delivery process performs automated secret scanning.
triggersarray–Workflow trigger events when raw YAML is not supplied, such as push, pull_request or workflow_dispatch.
usesPinnedActionsboolean–Whether third-party actions are pinned to immutable commit SHAs.
workflowNamestringyesHuman-readable name of the GitHub Actions workflow being reviewed.
workflowYamlstring–Raw GitHub Actions workflow YAML. The server derives triggers, action pinning, token permissions, caching and concurrency.
NameTypeReqDescription
assessmentConfidencestringyes–
evidencearrayyes–
findingsarrayyes–
readinessLevelstringyes–
recommendedControlsarrayyes–
strengthsarrayyes–
triggersarrayyes–
uncertaintiesarrayyes–
workflowNamestringyes–
workflowScorenumberyes–

No examples provided.

review_iam_policy ~264

Evaluate AWS IAM policy risk from structured facts or raw policy JSON, including wildcard scope, privilege-escalation actions and conditions. Use this for AWS IAM operational risk; for provider-specific AWS/Azure/GCP policy-pack checks, use review_cloud_identity_policy. It analyzes supplied policy data only and does not call AWS or modify IAM.

NameTypeReqDescription
actionsarray–Explicit allowed IAM actions when raw policy JSON is not supplied.
allowsPrivilegeEscalationActionsboolean–Whether the policy contains actions that can enable privilege escalation.
hasConditionBlocksboolean–Whether policy statements include Condition constraints that narrow access.
hasWildcardActionsboolean–Whether the policy permits wildcard actions such as * or service:* patterns.
hasWildcardResourcesboolean–Whether the policy grants permissions against wildcard resources.
policyJsonstring–Raw AWS IAM policy JSON. When supplied, the server derives actions, resources, wildcard scope and privilege-escalation evidence.
policyNamestringyesName of the AWS IAM policy being assessed.
resourcesarray–Explicit IAM resource ARNs or patterns when raw policy JSON is not supplied.
usedByProductionboolean–Whether the policy is attached to or used by production identities or workloads.
NameTypeReqDescription
actionsarrayyes–
assessmentConfidencestringyes–
evidencearrayyes–
findingsarrayyes–
policyNamestringyes–
recommendedControlsarrayyes–
resourcesarrayyes–
riskLevelstringyes–
riskScorenumberyes–
strengthsarrayyes–
uncertaintiesarrayyes–

No examples provided.

review_kubernetes_deployment ~301

Evaluate Kubernetes workload production readiness and reliability from structured facts or multi-document YAML, including probes, resources, replicas, disruption protection and exposure. Use this for deployability/readiness; for workload security hardening, use review_kubernetes_security. It examines supplied evidence only and does not connect to a Kubernetes cluster.

NameTypeReqDescription
exposesPublicServiceboolean–Whether the workload is exposed through a public Service or ingress path.
hasLivenessProbeboolean–Whether workload containers define liveness probes.
hasPodDisruptionBudgetboolean–Whether a PodDisruptionBudget protects workload availability during voluntary disruption.
hasReadinessProbeboolean–Whether workload containers define readiness probes.
hasResourceLimitsboolean–Whether workload containers define CPU or memory limits.
hasResourceRequestsboolean–Whether workload containers define CPU or memory requests.
manifestYamlstring–Deployment, StatefulSet or DaemonSet YAML, optionally with Service, Ingress and PodDisruptionBudget documents.
namespacestring–Kubernetes namespace containing the workload.
replicasinteger–Configured replica count used to assess availability and redundancy.
runsAsRootboolean–Whether the workload is configured to run containers as root.
usesLatestTagboolean–Whether any container image uses the mutable latest tag.
workloadNamestring–Workload name when raw manifest YAML is not the only source of identity.
NameTypeReqDescription
assessmentConfidencestringyes–
evidencearrayyes–
findingsarrayyes–
namespacestringyes–
readinessLevelstringyes–
readinessScorenumberyes–
recommendedControlsarrayyes–
strengthsarrayyes–
uncertaintiesarrayyes–
workloadNamestringyes–

No examples provided.

review_kubernetes_security ~115

Apply Kubernetes workload security rules to manifest YAML for privileged mode, host access, Linux capabilities, service accounts, seccomp, filesystem settings and network policy. Use this for security hardening; use review_kubernetes_deployment for reliability and production-readiness checks. It analyzes supplied YAML only and does not connect to a cluster.

NameTypeReqDescription
environmentstring–Optional target environment used to contextualize security findings.
manifestYamlstringyesRaw multi-document Kubernetes YAML containing workloads and related policy objects to evaluate for security hardening.
NameTypeReqDescription
assessmentConfidencestringyes–
criticalFindingsnumberyes–
environmentstringyes–
findingCountnumberyes–
findingsarrayyes–
highFindingsnumberyes–
mediumFindingsnumberyes–
networkPolicyPresentbooleanyes–
policyPackstringyes–
publicExposureObjectsnumberyes–
recommendedGatestringyes–
riskLevelstringyes–
riskScorenumberyes–
workloadCountnumberyes–

No examples provided.

review_software_supply_chain ~212

Correlate CycloneDX/SPDX SBOM quality with CI action pinning, Kubernetes image immutability, artifact signing and build provenance to assess software-supply-chain risk. Use this when an SBOM is available and supply-chain evidence needs to be evaluated together. It analyzes supplied artifacts only and does not call registries, CI systems, or clusters.

NameTypeReqDescription
artifactSignedboolean–Whether released artifacts or images are cryptographically signed.
environmentstring–Optional target environment used to contextualize supply-chain risk.
hasProvenanceboolean–Whether verifiable build provenance or attestation is produced for released artifacts.
kubernetesManifestYamlstring–Optional Kubernetes manifest YAML used to inspect runtime image immutability.
sbomJsonstringyesCycloneDX or SPDX SBOM JSON used as the primary software-supply-chain evidence.
workflowYamlstring–Optional GitHub Actions workflow YAML used to inspect action pinning and build controls.
NameTypeReqDescription
artifactSignedboolean|nullyes–
assessmentConfidencestringyes–
componentCountnumberyes–
correlationPathsarrayyes–
criticalFindingsnumberyes–
environmentstringyes–
findingCountnumberyes–
findingsarrayyes–
hasProvenanceboolean|nullyes–
highFindingsnumberyes–
mediumFindingsnumberyes–
metadataCoverageobjectyes–
mutableActionReferencesbooleanyes–
mutableRuntimeImagesbooleanyes–
policyPackstringyes–
recommendedGatestringyes–
riskLevelstringyes–
riskScorenumberyes–
sbomFormatstringyes–
sbomSpecVersionstringyes–

No examples provided.

review_terraform_security ~121

Inspect raw Terraform plan JSON for security-relevant changes such as destructive actions, public exposure, encryption gaps, deletion protection and IAM wildcard risk. Use this for Terraform security posture; use assess_terraform_change for broader release/change risk and governance. It parses the supplied plan only and does not execute Terraform or write state.

NameTypeReqDescription
environmentstring–Optional target environment used to contextualize the severity of findings.
terraformPlanJsonstringyesRaw Terraform plan JSON, typically produced by terraform show -json, to inspect for security-relevant resource changes.
NameTypeReqDescription
assessmentConfidencestringyes–
changedResourcesnumberyes–
criticalFindingsnumberyes–
destructiveChangesnumberyes–
environmentstringyes–
findingCountnumberyes–
findingsarrayyes–
highFindingsnumberyes–
mediumFindingsnumberyes–
policyPackstringyes–
recommendedGatestringyes–
replacementsnumberyes–
riskLevelstringyes–
riskScorenumberyes–

No examples provided.

Install

How do I install the Cloud DevOps MCP Server server?

Cloud DevOps MCP Server runs locally as an npm package, launched with npx -y cloud-devops-mcp-server. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · cloud-devops-mcp-server

# add to Claude Code
claude mcp add alexcgodwin-cloud-devops-mcp-server -- npx -y cloud-devops-mcp-server
Common questions

What is the Cloud DevOps MCP Server server?

Cloud DevOps MCP Server is listed in the public MCP registry as io.github.alexcgodwin/cloud-devops-mcp-server. Cloud DevOps analysis with guarded Git, infrastructure, cloud and observability operations. This page covers its npm package (cloud-devops-mcp-server).

Is the Cloud DevOps MCP Server server safe to use?

Cloud DevOps MCP Server scores 87 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 16 October 2026. It declares no install or post-install scripts. Its build provenance is signed and verified. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Cloud DevOps MCP Server server expose?

Cloud DevOps MCP Server exposes 12 tools: assess_terraform_change, assess_cloud_change_bundle, build_incident_runbook, review_cicd_pipeline, estimate_slo_error_budget, and 7 more. Their descriptions and schemas cost roughly 2,485 tokens of context every time the server is loaded.

Is the Cloud DevOps MCP Server server still maintained?

Cloud DevOps MCP Server is still listed as active in the MCP registry. We last reached this channel on 16 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the Cloud DevOps MCP Server server under?

Cloud DevOps MCP Server declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.