Get started with Kubiya MCP in 5 minutes - Zero dependencies, runs anywhere
~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
“Can you list the available runners and check their health status?”
“Create a tool that checks disk space and send me the results”
“Execute a kubectl command to get all pods in the cluster”
.cursor-settings.json
):
“Use Kubiya to deploy my application to staging”
“Check the health of our Kubernetes cluster using Kubiya tools”
create_runner
- Create new runnersdelete_runner
- Remove runnerscreate_integration
- Add integrationscreate_source
- Add tool sources~/.kubiya/mcp-server.json
:
You: “Our application seems slow, can you investigate?” AI + Kubiya:
- Checks application metrics
- Analyzes logs for errors
- Examines resource usage
- Identifies bottlenecks
- Suggests optimizations
You: “Process today’s user analytics and update the dashboard” AI + Kubiya:
- Extracts data from multiple sources
- Runs ETL transformations
- Validates data quality
- Updates data warehouse
- Refreshes BI dashboards
You: “Check for any security issues in our infrastructure” AI + Kubiya:
- Scans for vulnerabilities
- Checks access controls
- Reviews audit logs
- Validates compliance
- Generates security report
execute_tool
- Run any containerized toolcreate_on_demand_tool
- Build custom tools on-the-flyexecute_workflow
- Run complete workflowsexecute_whitelisted_tool
- Run pre-approved toolslist_runners
- List execution infrastructurecheck_runner_health
- Monitor system healthfind_available_runner
- Auto-select optimal runnerslist_agents
- Discover AI agentschat_with_agent
- Multi-turn conversationslist_sources
- Browse tool repositoriesexecute_tool_from_source
- Run tools from Git reposdiscover_source
- Preview tools before uselist_integrations
- See available integrationssearch_kb
- Search organizational knowledgelist_kb
- Browse documentationlist_secrets
- View available credentials