Kubernetes MCP server

Connect Kubernetes to Claude, ChatGPT, Cursor, Claude Code, Codex, Gemini, GitHub Copilot and any other MCP client, for your whole team. Metorial adds security, governance, and tracing, and gives everyone one Magic MCP URL to connect.

What you can do with the Kubernetes MCP server

Ask your agent in plain language. Each of these maps to a real tool on the server.

  • Use the manage namespace tool in Kubernetes
  • Use the manage rbac tool in Kubernetes
  • Use the cluster info tool in Kubernetes
  • Use the manage config map or secret tool in Kubernetes
  • Use the delete resource tool in Kubernetes
  • Use the apply resource tool in Kubernetes

Supported Tools

manage_namespace

Manage Namespace

Create, update, or list Kubernetes namespaces. Use this to organize cluster resources into logical groups for multi-tenancy and isolation.

manage_rbac

Manage RBAC

Create or update RBAC resources: Roles, ClusterRoles, RoleBindings, and ClusterRoleBindings. Use this to define access control policies for users, groups, and service accounts.

cluster_info

Cluster Info

Retrieve general information about the Kubernetes cluster, including the API server version and a summary of all worker nodes with their status, capacity, and versions.

manage_config_storage

Manage ConfigMap or Secret

Create or update Kubernetes ConfigMaps and Secrets. Supports setting key-value data directly, or providing a full manifest. For secrets, values should be provided as plain text — they will be base64-encoded automatically.

delete_resource

Delete Resource

Delete a Kubernetes resource by type and name. Supports all standard resource types. Optionally set the propagation policy to control how dependent resources are cleaned up.

apply_resource

Apply Resource

Apply a Kubernetes resource manifest (similar to `kubectl apply`). Creates the resource if it doesn't exist, or updates it if it does. Accepts a full resource manifest as a JSON object. The kind, apiVersion, and metadata.name are required.

manage_service

Manage Service

Create or update a Kubernetes Service, including ClusterIP, NodePort, LoadBalancer, and ExternalName types. Also manages Ingress resources for HTTP(S) routing.

manage_job

Manage Job

Create or inspect Kubernetes Jobs and CronJobs. Jobs run workloads to completion; CronJobs schedule jobs on a cron-based schedule.

get_pod_logs

Get Pod Logs

Retrieve logs from a specific pod. Supports selecting a specific container in multi-container pods, tailing a fixed number of lines, and fetching logs from a previous container instance.

list_resources

List Resources

List Kubernetes resources of a given type. Supports all standard resource types including pods, deployments, services, configmaps, secrets, namespaces, nodes, and more. Use **labelSelector** and **fieldSelector** to filter results. Pagination is supported via **limit** and **continueToken**.

manage_deployment

Manage Deployment

Create, update, scale, or restart a Kubernetes Deployment. Combine multiple operations in one call — for example, update the image and scale replicas simultaneously. Also supports StatefulSets and DaemonSets for similar workload management.

manage_autoscaler

Manage HorizontalPodAutoscaler

Create, update, or get the status of a HorizontalPodAutoscaler (HPA). HPAs automatically scale the number of pod replicas based on CPU utilization, memory usage, or custom metrics.

get_resource

Get Resource

Retrieve the full details of a specific Kubernetes resource by name and type. Returns the complete resource manifest including metadata, spec, and status. Useful for inspecting the current state and configuration of any resource.

Connect Kubernetes to your AI client

Every client uses the same Magic MCP URL, and so does any other MCP client. Add it once and sign in with SSO.

  1. Enable Kubernetes in Metorial. In your Metorial portal, enable the Kubernetes MCP server and sign in with the account that owns the data. Access stays governed by your team policies.
  2. Add a custom connector. Open Customize, then Connectors. Select Add, then Custom, then Web.
  3. Paste your Metorial MCP URL. Name it Metorial, paste your Magic MCP URL (<your-magic-mcp-url>) and continue.
  4. Sign in. Select Add and sign in to load Kubernetes tools.

Run Kubernetes through the Metorial gateway

One governed layer for every app your agents reach, not a separate connector per tool.

  • Give Kubernetes and every other app to your whole team through one MCP gateway, behind your SSO.
  • Scope which teams and agents can use Kubernetes tools with role-based access control, and trace every call.
  • Prefer to run it yourself? Metorial is open source and self-hostable.

More integrations teams use with Kubernetes

Google Sheets

Create, read, and update spreadsheets and their cell data. Read and write values to individual cells, ranges, or multiple ranges using A1 notation or named ranges. Apply cell formatting including text styles, backgrounds, borders, number formats, and conditional formatting. Manage sheets (tabs) within a spreadsheet—add, delete, copy, rename, and reorder them. Create and manage embedded charts, pivot tables, filter views, data validation rules, protected ranges, named ranges, and merged cells. Perform batch operations to apply multiple updates atomically.

GitHub

Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.

Salesforce

Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.

Sharepoint

Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Resolve site users to numeric Person/Group LookupId values. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Retrieve site properties and search for sites across Microsoft 365.

Airtable

Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.

Google Drive

Upload, download, create, copy, move, rename, trash, and permanently delete files and folders in Google Drive. Search for files using complex queries filtering by name, MIME type, owner, modification date, labels, and other metadata. Share files and folders with specific users, groups, or domains with role-based permissions (owner, writer, commenter, reader). Manage shared drives and their members. Export Google Workspace files (Docs, Sheets, Slides) to standard formats like PDF, DOCX, and XLSX. Track file revision history and restore earlier versions. Create, read, update, and delete threaded comments and replies on files. Read label definitions and search files by label. Browse the Drive apps installed for your account. Store app-specific data in a hidden per-user folder.

Technical notes for Kubernetes

Manage and orchestrate containerized applications on Kubernetes clusters. Create, update, scale, and delete workloads including Pods, Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs. Configure service discovery and load balancing through Services, Ingress, and Endpoints. Manage configuration and storage with ConfigMaps, Secrets, PersistentVolumes, and StorageClasses. Control access with Namespaces, RBAC roles and bindings, ServiceAccounts, and NetworkPolicies. Administer cluster infrastructure including Nodes, ResourceQuotas, LimitRanges, and PriorityClasses. Autoscale workloads with HorizontalPodAutoscaler and VerticalPodAutoscaler. Define and manage Custom Resource Definitions (CRDs) to extend cluster functionality. Watch resources in real time for create, modify, and delete events. Configure admission webhooks to validate or mutate resources before persistence.

Frequently asked questions

Common questions about connecting Kubernetes to AI agents with Metorial.

  1. How many tools does the Kubernetes MCP server have?
    The Kubernetes MCP server exposes 13 tools, including Manage Namespace, Manage RBAC, Cluster Info. Each one is governed and traced through Metorial.
  2. Kubernetes exposes tools your agents call on demand; it does not publish event triggers yet. Everything still runs through one governed MCP URL.
  3. Any MCP client, including VS Code, Windsurf, Zed, OpenCode and Grok. Each one reaches the Kubernetes MCP server through the same Metorial URL.
  4. Use role-based access control to decide which teams, users, and agents can use Kubernetes and which of its tools they can call.
  5. Yes. Metorial is open source, so you can run the Kubernetes MCP server yourself or use the hosted gateway.

Connect Kubernetes to production AI agents

See how Metorial gives your team governed access to Kubernetes, with tracing and security controls built in.