StacklokLabs/mkp
by Various
MKP is a Model Context Protocol (MCP) server for Kubernetes
MCP
StacklokLabs/mkp
Added 1 June 2026
Overview
MKP is a Model Context Protocol (MCP) server for Kubernetes. It exposes Kubernetes resources and operations through the MCP interface, enabling AI agents to interact with clusters. Built in Go, it provides a standardized way for LLMs to query and manage Kubernetes objects.
Best for
Best for
Developers building AI agents that need programmatic access to Kubernetes clusters
Use cases
- Query cluster state and resource configurations via natural language
- Automate routine Kubernetes operations through AI agent integrations
- Enable AI-assisted debugging and troubleshooting of Kubernetes workloads
How to use
Tools exposed
get_resourcelist_resourcesapply_resource
Notes
MKP is a Model Context Protocol (MCP) server for Kubernetes. It exposes Kubernetes resources and operations through the MCP interface, enabling AI agents to interact with clusters. Built in Go, it provides a standardized way for LLMs to query and manage Kubernetes objects.
57 stars on GitHub. Last updated 2026-05-29. Licensed Apache-2.0.
Use cases
- Query cluster state and resource configurations via natural language
- Automate routine Kubernetes operations through AI agent integrations
- Enable AI-assisted debugging and troubleshooting of Kubernetes workloads
Pros
- Leverages the MCP standard for broad AI tool compatibility
- Lightweight Go implementation with minimal dependencies
- Directly addresses Kubernetes operational tasks without custom scripting
Cons
- Small community and limited adoption (57 stars)
- Requires MCP-compatible AI clients to be useful
- May lack advanced Kubernetes features or edge-case handling
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Leverages the MCP standard for broad AI tool compatibility
- Lightweight Go implementation with minimal dependencies
- Directly addresses Kubernetes operational tasks without custom scripting
Cons
- Small community and limited adoption (57 stars)
- Requires MCP-compatible AI clients to be useful
- May lack advanced Kubernetes features or edge-case handling
Pairs with
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