Rancher MCP. Manage k8s clusters and pods via chat.
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…and any MCP-compatible client
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Rancher MCP Server lets your AI client manage Kubernetes environments directly through the Rancher platform. It exposes tools to list clusters, find namespaces, check workloads, and introspect pods across multiple remote K8s clusters.
Your agent handles the complex CLI calls so you don't have to.
What your AI agents can do
Get cluster
Retrieves detailed information for one specific Kubernetes cluster instance.
Get project
Pulls the full details and scope for a particular Rancher logical project ID.
List apps
Lists all Helm applications installed within a specific, defined project.
Finds all managed clusters, projects, and nodes across your entire Rancher deployment.
Lists and checks the health of deployed applications (Helm apps) and Kubernetes workloads (Deployments/StatefulSets).
Identifies all logical namespaces within a project or cluster, allowing agents to scope their queries accurately.
Retrieves specific details about clusters (get_cluster), projects (get_project), and user accounts (list_users).
Checks the operational status of individual pods, helping pinpoint container failures or crash loops.
Ask AI about this MCP
Supported MCP Clients
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Rancher MCP Server: 10 Tools for K8s Management
These tools give your AI client direct access to Rancher APIs. They let you list clusters, check namespaces, and inspect workloads across any managed Kubernetes environment.
019d75fcget cluster
Retrieves detailed information for one specific Kubernetes cluster instance.
019d75fcget project
Pulls the full details and scope for a particular Rancher logical project ID.
019d75fclist apps
Lists all Helm applications installed within a specific, defined project.
019d75fclist catalogs
Shows the names of available Helm chart repositories (Catalogs) for installation reference.
019d75fclist clusters
Lists every Kubernetes cluster that Rancher manages across your entire environment.
019d75fclist namespaces
Shows all logical namespaces inside a project, helping you scope down where to look for resources.
019d75fclist nodes
Lists every worker node within a specific cluster, providing hardware status and capacity checks.
019d75fclist projects
Finds the IDs of all logical projects managed under your main Rancher cluster.
019d75fclist users
Lists every user account configured within the entire Rancher platform.
019d75fclist workloads
Lists all types of Kubernetes workloads (like Deployments or StatefulSets) in a project.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Rancher, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Listen up. The Rancher MCP Server lets your AI agent talk directly to your Kubernetes infrastructure via the Rancher control plane. Forget writing complex kubectl commands; your agent handles all the messy CLI calls so you don't gotta lift a finger. You use this server when you need deep visibility into how your clusters are actually running.
Discovering Your Infrastructure Layout
Your agent can find every part of your setup. It first runs list_clusters to list every single Kubernetes cluster Rancher manages across your whole environment. If you know which logical grouping you're working in, it uses list_projects to get the IDs of all those main projects. Once you have a project ID, running get_project pulls out the full scope and details for that specific logical area.
You can then narrow down where you're looking by using list_namespaces, which shows every available namespace inside that project. For hardware status checks, your agent runs list_nodes on a cluster to list every worker node, giving you immediate access to capacity data and physical health reports.
Checking Workload Status & Applications
Need to know if something broke? Your agent handles it. It uses list_workloads to get a manifest of all types of Kubernetes workloads—things like Deployments or StatefulSets—running in a project. For the applications installed via Helm, running list_apps shows every single one of those packages within your defined project scope.
If you're setting up something new, list_catalogs tells you what chart repositories are available for reference when deploying apps.
Inspecting Deep Details & Metadata
When you need specific facts, the server gives them to you. You can run get_cluster, passing in a cluster ID, to retrieve detailed information about that single Kubernetes instance. If you're managing users or permissions, running list_users lists every account configured across the entire Rancher platform.
To keep tabs on resources, your agent uses get_project again to pull granular scope details for any given project ID.
Pinpointing Problems
When things go sideways, you need quick answers. While the server handles general cluster metadata via get_cluster, it gives visibility into specific nodes using list_nodes. If a pod is throwing errors or stuck in a crash loop, your agent can query those details directly through the available methods to help pinpoint exactly where the container failed.
How Rancher MCP Works
- 1 Enable the MCP server integration and configure it with your Rancher Server URL.
- 2 Provide a Bearer Token to authenticate API access. This gives your agent read/write permissions to the cluster data.
- 3 Tell your AI client what you need: 'What's wrong with the pods in the staging namespace?' Your agent runs the necessary tools (
list_namespaces, thenget_cluster, etc.) and returns a clean answer.
The bottom line is that it turns complex, multi-step CLI commands into simple chat requests for your AI client.
Who Is Rancher MCP For?
Anyone who spends time staring at Kubernetes dashboards or running repetitive kubectl commands in a terminal. This hits the Ops Engineer tired of context switching between multiple UIs, and the Backend Developer who just needs to quickly verify if microservices are actually deployed correctly.
Uses list_clusters and get_project to map out environments before a major deployment, verifying access boundaries between staging and production.
Runs automated checks using list_nodes across all clusters to ensure no nodes are drifting offline or reporting unusual health status.
Checks the operational state of a specific service by querying pods via get_cluster, confirming that its microservice is running in the correct namespace.
What Changes When You Connect
- Check cluster status without switching tabs. Instead of navigating through the UI to see all environments, ask your agent to run
list_clustersimmediately. You get a summary list of every managed instance in seconds. - Drill down faster than manual CLI work. Use
list_namespacesfirst to scope your search, then use tools likeget_clusterandlist_workloadson that specific namespace ID. It cuts out the guesswork. - See infrastructure health quickly. Instead of manually checking every node via dashboard widgets, ask for a list using
list_nodes. Your agent aggregates status data from all worker nodes instantly. - Handle app deployments in context. If you need to know what services are running within a project, use
list_appsorlist_workloads. It gives you the manifest details without opening the Helm UI. - Pinpoint pod failures fast. Need to debug why a service is down? Ask your agent to check the pods using tools like
get_cluster. You get immediate status (e.g., 'Running' vs. 'CrashLoopBackOff') and container history.
Real-World Use Cases
Post-Incident Triage
A critical service fails in staging, but the team isn't sure which cluster it lives on. Instead of manually checking every environment, the engineer asks their agent to run list_clusters first. Once they narrow it down, they use list_workloads on that specific project ID to confirm if the target deployment exists and what its current state is.
Capacity Planning
The team needs to know how many worker nodes are underutilized before scaling up. They instruct their agent to run list_nodes across all relevant clusters. The tool aggregates the node count, giving immediate data points for capacity planning without running dozens of individual API calls.
New User Onboarding
A new developer needs to know which services are active in the core application namespace. They ask their agent to run list_namespaces followed by list_workloads. The system reports all deployments and statefulsets, providing a complete map of what's running.
Security Audit Prep
The security team needs an inventory of who has access to which environments. They run list_users and get_project. This gives them a clear list of platform users mapped directly against the projects they manage, simplifying compliance reporting.
The Tradeoffs
Chaining 10+ CLI Commands
Manually running kubectl get pods -n default then remembering to run it for -n kube-system, and finally switching contexts to check a different cluster's namespace.
→
Don't write out the full sequence. Just ask your agent: 'Show me all pod statuses in the main application namespaces.' Your agent runs list_namespaces first, then uses that list to query relevant pods via get_cluster, giving you one consolidated output.
Assuming a Single Dashboard View
Believing the Rancher UI gives a single 'all workloads' view when in reality, they have to click through every project and cluster individually.
→
Start with list_clusters to see all available environments. Then, use your agent to run list_workloads against the specific projects you need. It forces a targeted search instead of relying on broad UI views.
Over-relying on Documentation
Reading through dense Kubernetes documentation just to figure out which tool call is needed for 'list applications' vs 'list workloads'.
→
Keep the tools simple. If you want running services, use list_workloads. If you want installed packages/charts in a project, use list_apps.
When It Fits, When It Doesn't
Use this MCP Server if your primary pain point is context switching between multiple dashboards or remembering complex CLI flags. It's perfect for triage and inventory checks.
Do: Use it when you need to aggregate data across many clusters (e.g., 'List all projects that contain a node tagged X'). You can chain list_clusters -> get_project -> list_nodes through the agent, which is faster than manual work.
Don't: Use it if you need to manually review configuration files (like YAML manifests for debugging). For deep config changes or specific resource edits, you still have to use the native CLI/UI. Also, don't expect a single tool to show everything; you must guide your agent by asking structured questions that hit multiple tools.
Bottom line: This is an information retrieval layer, not a configuration management layer.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Rancher. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Checking cluster status shouldn't require jumping between five different tabs.
Today, checking the health of your multi-cluster environment means opening the main dashboard, clicking into Cluster A, then navigating to Project X. You check nodes there. Then you click out and do the same thing for Cluster B, repeating the whole process just to get a high-level view of node counts or active pods.
With this MCP server, you simply ask your agent: 'List all clusters and show me their current operational status.' It uses `list_clusters` and aggregates the core data points from every managed environment into one immediate response. You're done in a single chat turn.
Rancher MCP Server lets you manage Kubernetes workloads via AI.
Without this tool, knowing what applications are deployed requires drilling down into project settings, then checking Helm charts, and finally listing the associated deployments. It's tedious guesswork just to get an inventory count.
Now, you ask your agent about workloads in a specific project. The tool runs `list_workloads` and gives you the names of all running Deployments and StatefulSets instantly. You get the full deployment topology without touching the UI.
Common Questions About Rancher MCP
How do I find out which clusters Rancher is managing using list_clusters? +
You run list_clusters. This tool returns a complete inventory of every Kubernetes cluster connected to your rancher control plane, including their current status (Active, Provisioning, etc.).
What is the difference between list_workloads and list_apps? +
Use list_apps when you want to see applications deployed via Helm charts. Use list_workloads when you need to see native Kubernetes objects like Deployments or StatefulSets.
Can I find all namespaces in a project using list_namespaces? +
Yes, running list_namespaces targets the specific project ID and returns every logical namespace defined within it. This helps you scope your subsequent queries correctly.
What does get_cluster do for me? +
The get_cluster tool pulls comprehensive details about a single, named cluster instance. This is better than just listing it because it gives deeper metadata on the environment.
What credentials do I need to connect my AI client using `get_cluster`? +
You must provide a Rancher Server URL and an API Bearer Token for authentication. The agent uses these credentials to verify access rights across your clusters.
How can I find all the physical worker machines in my environment using `list_nodes`? +
list_nodes returns a list of every node associated with a cluster. This lets you check the status and capacity of your underlying compute hardware.
If I need to scope my request, how do I find project IDs using `list_projects`? +
list_projects finds all logical projects within a cluster. You use the returned Project ID when calling other tools like list_workloads.
Is there a way to check if my service is running correctly using `list_users`? +
list_users simply provides an inventory of all user accounts in the Rancher platform. It doesn't report on operational status, but confirms account existence.
How do I generate a Bearer Token in Rancher? +
Log into your Rancher UI. Go to your User Profile menu and select 'API & Keys'. Create a new API Key with appropriate scopes. Combine the generated Access Key and Secret Key using a colon (AccessKey:SecretKey), or use the final Bearer Token provided to authenticate the MCP server.
Does the integration require direct cluster network access? +
No, the MCP server acts exclusively by pinging the overarching main Rancher Server API URL rather than connecting locally to standard cluster API endpoints separately. Your network configuration remains secure as it relies completely on the Rancher gateway role.
Can I deploy new workloads to my cluster via the chat interface? +
Currently, the server allows listing and fetching comprehensive statuses for namespaces, workloads, endpoints, clusters, and pods natively to observe the infrastructure state interactively without allowing unmanaged destructive configurations to roll out purely based on prompt.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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