Spinnaker Mcp vs Mcp Zenml — MCP Server Comparison | AllMCPs
Side-by-Side Model Context Protocol Comparison
Spinnaker Mcp vs Mcp Zenml
In-depth architectural comparison of the Spinnaker Mcp and Mcp Zenml MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.
At a Glance & Executive Verdict
Spinnaker Mcp
Cloud Platforms · Local stdio
Quality: 56/100 (Good) | Auth: No auth required
Mcp Zenml
Cloud Platforms · Local stdio
Quality: 57/100 (Good) | Auth: API Key required
Verdict Summary: Choose Spinnaker Mcp if you need specialized Cloud Platforms tools running via a local process. Choose Mcp Zenml if your workspace requires Cloud Platforms integration with local subprocess execution. Both servers can be configured concurrently in your client's mcpServers manifest.
Which MCP Server Should You Choose?
Choose Spinnaker Mcp when:
You need dedicated capabilities in the Cloud Platforms domain.
You prefer local stdio subprocess transport architecture.
Your security boundary fits: No auth required (Free / Open Source).
A bridge that exposes any Spinnaker instance as an MCP server via the Gate API, enabling management of applications, pipelines, executions, and cloud infrastructure.
An MCP server to connect with your ZenML MLOps and LLMOps pipelines
Cancel a running pipeline execution by its ID, optionally providing a reason. Use this to stop a deployment in progress — for example, when a bad build was triggered. Does not roll back completed stages. Returns a confirmation message.
delete_pipeline
Permanently delete a pipeline configuration from Spinnaker. Use this only when a pipeline is no longer needed — this action cannot be undone. Does not affect past executions. Returns a confirmation message on success.
delete_strategy
Permanently delete a deployment strategy configuration from Spinnaker. Use this only when a strategy is no longer needed — this action cannot be undone. Returns a confirmation message on success.
evaluate_expression
Evaluate a Spring Expression Language (SpEL) expression against a pipeline execution context. Use this to inspect pipeline variables, stage outputs, or computed values during debugging. Dangerous patterns (reflection, class instantiation) are blocked for security. Returns the evaluated expression result as JSON.
Ready-to-Paste Client Configurations
Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).
Spinnaker Mcp is categorized under Cloud Platforms and uses a local stdio subprocess. In contrast, Mcp Zenml belongs to Cloud Platforms using local stdio subprocess. Select Spinnaker Mcp when you need capabilities focused on cloud platforms and Mcp Zenml when you require tools for cloud platforms.
Search for machine images (AMIs, GCE images, Docker images) available in Spinnaker for a given cloud provider. Use this to find images for a deployment or verify which image versions are available. Supports filtering by query string, region, and account. Returns JSON array of matching image objects.
get_account
Get details for a specific Spinnaker account by name, including its cloud provider type, permissions, and regions. Use this to verify account configuration or check permissions before deploying. Returns JSON with full account metadata.
get_application
Get detailed information about a single Spinnaker application including its accounts, clusters, and custom attributes. Use this to inspect an application's configuration before modifying its pipelines or infrastructure. Returns JSON with application metadata, associated cloud accounts, and cluster details.
get_cluster
Get details for a specific cluster in a Spinnaker application by account and cluster name. Use this to inspect server groups, load balancers, and instance counts within a cluster. Returns JSON with cluster metadata and its constituent server groups.
get_console_output
Get the console output (boot log) for a specific compute instance. Use this to debug instance startup failures or inspect early boot messages. Requires account, region, and instance ID. Returns the raw console output text.
get_execution
Get the full details of a single pipeline execution by its ID, including all stage statuses, outputs, variables, and timing. Use this to debug a failed deployment or inspect execution progress. Returns comprehensive JSON with per-stage results. Obtain the execution_id from trigger_pipeline, list_executions, or search_executions.
get_firewall
Get details for a specific firewall rule (security group) by account, region, and name. Use this to inspect inbound/outbound rules and associated resources. Returns JSON with the firewall's full rule set and metadata.
get_image_tags
Get available tags for a Docker image repository registered in Spinnaker. Use this to list version tags before triggering a pipeline with a specific image tag. Returns JSON array of tag strings for the specified repository.
+25 more tools listed on main page
Mcp Zenml Tools (23)
get_snapshot
Get a frozen pipeline configuration by name/ID
list_snapshots
List snapshots with filters (runnable, deployable, deployed, tag)
get_deployment
Get a deployment's runtime status and URL
list_deployments
List deployments with filters (status, pipeline, tag)
get_deployment_logs
Get bounded logs from a deployment (tail=100 default, max 1000)
trigger_pipeline
Trigger a pipeline run (prefer `snapshot_name_or_id` parameter)