Make Yunikorn accessible to AI agents! Queues, partitions, applications, and nodes become readable to LLMs.
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Yunikorn MCP Server is an MCP server that make Yunikorn accessible to AI agents! Queues, partitions, applications, and nodes become readable to LLMs. Its tool list has not been published yet over stdio and http, requires no API key, and scores 60/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"yunikorn-mcp-server": {
"url": "<see-readme-for-url>"
}
}
}Are you the author?
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A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories - click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Click any tool to inspect its schema.
yunikorn://partitions/listStatic data access for list of all partitions
yunikorn://partitions/list
yunikorn://nodes/utilizationNode utilization information across the scheduler
yunikorn://nodes/utilization
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