Cloud DevOps MCP Server
Cloud DevOps analysis with guarded Git, infrastructure, cloud and observability operations.
Install Cloud DevOps MCP Server
Pick your client, then add it in one click or paste the config.
~/Library/Application Support/Claude/claude_desktop_config.json{
"mcpServers": {
"cloud-devops-mcp-server": {
"command": "npx",
"args": [
"-y",
"cloud-devops-mcp-server@0.14.0"
]
}
}
}
Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.
We couldn’t confirm it starts correctly
We ran the install command but it didn't respond within our test window — this can mean a slow first-time install rather than a real problem.
npx -y cloud-devops-mcp-server@0.14.0No response to initialize.
This is an experimental automated check and can have false negatives — missing environment variables, a slow cold install, etc. It doesn’t necessarily mean something’s wrong. Last checked 6d ago.
Overview
Tools12
What Cloud DevOps MCP Server lets your agent do. Expand a tool for its parameters.
Security & health
What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.
Recent health check succeeded.
Supply-chain signal
No high-severity advisories surfaced by our automated scan.
Scanned 8d ago via OSV.dev · cloud-devops-mcp-server@0.14.0 (npm)
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
From the project README
Cloud DevOps MCP Server
Cloud DevOps MCP Server is a Model Context Protocol v2 server by Alex C. Godwin. It provides evidence-backed Cloud DevOps analysis across infrastructure, identity, Kubernetes, CI/CD, SRE and software supply-chain controls.
The v0.14 line adds an opt-in OpsChugex change-intelligence and blast-radius gateway. The public MCP forwards bounded planned-change, topology and readiness evidence to a host-configured private OpsChugex service and returns change risk, impacted topology nodes, representative blast paths, blockers, warnings and evidence gaps. Proprietary dependency propagation, risk weighting and blocker rules are not included in this public MIT repository.
The v0.13 line adds an opt-in OpsChugex advanced FinOps gateway. The public MCP forwards bounded cloud-cost, utilization and Kubernetes allocation evidence to a host-configured private OpsChugex service and returns optimization opportunities, cost anomalies, low/high savings ranges, confidence, cost correlations and evidence gaps. Proprietary savings factors, anomaly thresholds, prioritization and deduplication are not included in this public MIT repository.
The v0.12 line adds an opt-in OpsChugex cloud security posture gateway. The public MCP forwards bounded cloud asset, identity, secret and network-reachability evidence to a host-configured private OpsChugex service and returns security score, risk level, ordered findings, attack paths, evidence gaps and recommendations. Proprietary security rules, severity thresholds, scoring and attack-path correlation are not included in this public MIT repository.
The v0.11 line adds an opt-in OpsChugex policy and governance gateway. The public MCP sends bounded resource evidence and approved exception metadata to a host-configured private OpsChugex service and returns pass, review or block decisions with control findings and evidence gaps. Proprietary profiles, rules, weights and exception-processing logic are not included in this public MIT repository.
The v0.10 line adds an opt-in OpsChugex root-cause intelligence gateway. The public MCP sends bounded incident evidence to a host-configured private OpsChugex service and returns evidence-ranked probable causes, contradictions, limitations and next checks. Proprietary ranking and correlation rules are not included in this public MIT repository.
The v0.9 line adds an opt-in distributed-tracing and SLO-intelligence plane for Grafana Tempo and Jaeger v3 trace reads, service dependency mapping, tracing coverage assessment, multi-window SLO burn-rate analysis and trace/SLO incident correlation. The v0.8 production-observability and operations-intelligence plane remains available for Prometheus, Grafana, CloudWatch Logs Insights, Kubernetes health, GitHub Actions diagnosis, cloud health, FinOps and drift. Live AWS, Azure and GCP access remains bounded and read-only. Cloud mutation remains intentionally unavailable.
Table of contents
- Why this exists
- Tools
- Architecture
- Quickstart
- Install from npm
- MCP clients
- Configuration
- Authenticated Streamable HTTP
- Public release verification
- Example tool input
- Demo outputs
- Docker
- Development
- Security model
- Roadmap
- Author
Why this exists
AI assistants are more useful in engineering work when they can call focused tools with clear inputs and consistent outputs. This server provides a Cloud DevOps tool layer for:
- Cross-domain release-risk correlation across infrastructure, identity, runtime and delivery.
- Infrastructure-as-code deployment risk analysis.
- Production incident runbook generation.
- CI/CD delivery readiness review.
- SLO error budget calculations.
- AWS IAM least-privilege review.
- AWS, Azure and GCP identity policy packs.
- Terraform destructive-change, public exposure and encryption security analysis.
- Kubernetes workload production readiness and security-policy analysis.
- GitHub Actions workflow security and deployment review.
- CycloneDX/SPDX SBOM quality and software supply-chain correlation.
- Optional authenticated Streamable HTTP serving for self-hosted remote access.
- Optional allowlisted live AWS/Azure/GCP inventory, observability, FinOps and drift signals.
- Optional Grafana Tempo and Jaeger v3 trace reads, service dependency maps and SLO burn-rate intelligence.
- Optional OpsChugex private root-cause intelligence across metrics, logs, traces, Kubernetes, cloud, Terraform and CI/CD evidence.
- Optional OpsChugex private policy and governance intelligence for development, staging, production and regulated profiles.
- Optional OpsChugex private cloud security posture intelligence for exposure, identity, secrets and attack-path analysis.
- Optional OpsChugex private advanced FinOps intelligence for rightsizing, anomaly detection, Kubernetes/cloud cost correlation and savings-range analysis.
- Optional OpsChugex private change intelligence for pre-change dependency propagation, blast-radius mapping, blockers and rollback/readiness analysis.
Tools
| Tool | Purpose |
|---|---|
assess_cloud_change_bundle | Correlates Terraform, IAM, Kubernetes and GitHub Actions evidence into one deployment-risk assessment with cross-domain change paths. |
assess_terraform_change | Scores Terraform/IaC risk and can derive evidence from raw Terraform plan JSON. |
build_incident_runbook | Produces a practical incident response runbook for a service, symptom, environment and severity. |
review_cicd_pipeline | Reviews CI/CD maturity while separating failed controls from unknown evidence. |
estimate_slo_error_budget | Calculates downtime and request-failure budgets with consistency validation. |
review_iam_policy | Parses IAM policy JSON and detects wildcard scope and privilege-escalation paths. |
review_kubernetes_deployment | Parses Kubernetes YAML for probes, resources, disruption protection, image and exposure risks. |
review_github_actions_workflow | Parses workflow YAML for triggers, immutable action pins, permissions, caching and concurrency. |
review_cloud_identity_policy | Applies AWS IAM, Azure RBAC or GCP IAM policy packs to raw policy JSON. |
review_terraform_security | Reviews Terraform plan JSON for destructive changes, public exposure, encryption, deletion protection and wildcard IAM. |
review_kubernetes_security | Reviews privileged mode, host access, service accounts, capabilities, seccomp, root filesystems and NetworkPolicy. |
review_software_supply_chain | Correlates CycloneDX/SPDX SBOM quality with CI action pinning, image immutability, signatures and provenance. |
Optional live multi-cloud reads
When explicitly enabled, six additional tools provide allowlisted AWS/Azure/GCP identity verification, bounded inventory, managed Kubernetes discovery, observability configuration summaries, FinOps waste signals and drift reporting. No cloud mutation commands are exposed. AWS general inventory is sourced from the Resource Groups Tagging API, so untagged AWS resources may not appear in that inventory or AWS drift comparison.
Optional production observability intelligence
When explicitly enabled, twelve additional tools provide bounded Prometheus queries, Grafana alert summaries, CloudWatch Logs Insights queries, Kubernetes pod-health summaries, GitHub Actions failure diagnosis, cross-signal incident correlation, cloud-health assessment, deployment/incident correlation, observability coverage assessment, FinOps correlation, cross-runtime drift analysis and operations briefs. Endpoints, cloud scopes, log groups, cluster contexts, namespaces and repositories are allowlisted. The layer is read-only and exposes no alert mutation, deployment mutation or arbitrary shell execution.
Optional distributed tracing and SLO intelligence
When explicitly enabled, six additional v0.9 tools provide bounded Tempo/Jaeger trace search and retrieval, service dependency mapping, tracing coverage assessment, multi-window SLO burn-rate analysis and trace/SLO incident correlation. Remote tracing endpoints must be allowlisted and use HTTPS unless loopback. Backend credentials stay in host environment variables. Trace search windows and result sizes are bounded, and the plane exposes no trace ingestion, sampling mutation or telemetry deletion.
Optional OpsChugex root-cause intelligence
When explicitly enabled, v0.10 exposes diagnose_root_cause. The tool accepts bounded evidence from metrics, logs, traces, Kubernetes, cloud, Terraform and CI/CD, then calls a host-configured private OpsChugex service. The public MCP contains no proprietary ranking rules, accepts no service URL or credential as tool input, and performs no remediation. Evidence scores represent evidence strength rather than statistical probability.
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