This release includes breaking changes for platform teams planning a safe upgrade.
✓ No known CVEs patched in this version
Topics
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Summary
AI summaryMulti-cluster query, health, and pod count tools added with stateless mode support.
Full changelog
What's New in v1.19.0
New Features
Multi-Cluster Operations (4 new tools)
multi_cluster_query: Query resources across multiple clusters simultaneouslymulti_cluster_health: Check health status of all clusters at oncemulti_cluster_pod_count: Get pod counts across all clusters with breakdown by phase
Kubeconfig Auto-Detection
enable_kubeconfig_watching: Auto-detect kubeconfig file changes (useful for cloud CLI credential updates)disable_kubeconfig_watching: Disable the watcherget_server_config_status: Check current server configuration including watch status
Stateless Mode
MCP_STATELESS_MODEenvironment variable: Run without caching API clients (ideal for serverless)set_stateless_mode/is_stateless_mode: Toggle stateless operation programmatically
Pod Management
run_pod: Run container images directly (kubectl run equivalent)
Code Quality Improvements
- Created shared
utils.pymodule, removing ~474 lines of duplicate code - Removed 31 redundant comments from tool files
- Added input validation for
check_intervalparameter - Simplified module docstrings
- All 47 tests passing
Files Changed
- 20 files modified
- New:
kubectl_mcp_tool/tools/utils.py
Installation
# PyPI
pip install kubectl-mcp-server==1.19.0
# npm
npm install [email protected]
Full Changelog: https://github.com/rohitg00/kubectl-mcp-server/compare/v1.18.0...v1.19.0
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About rohitg00/kubectl-mcp-server
A Model Context Protocol (MCP) server for Kubernetes that enables AI assistants like Claude, Cursor, and others to interact with Kubernetes clusters through natural language.
Related context
Beta — feedback welcome: [email protected]