# MCP Server Configuration for Evals
# This file configures the kubectl-mcp-server for evaluation runs
mcpServers:
kubernetes:
# Python module invocation
command: python
args: ["-m", "kubectl_mcp_tool"]
# Environment variables for the MCP server
env:
# Enable debug logging for detailed tool invocation logs
MCP_DEBUG: "true"
# Log file for capturing MCP interactions
MCP_LOG_FILE: "./results/mcp.log"
# Disable colored output for cleaner log parsing
NO_COLOR: "1"
# Server settings
settings:
# Connection timeout in seconds
timeout: 60
# Retry failed connections
retryOnError: true
maxRetries: 3
# Alternative configurations for different environments:
# Using installed CLI
# mcpServers:
# kubernetes:
# command: kubectl-mcp-server
# args: ["serve", "--transport", "stdio"]
# env:
# MCP_DEBUG: "true"
# Using Docker
# mcpServers:
# kubernetes:
# command: docker
# args: [
# "run", "--rm", "-i",
# "-v", "${HOME}/.kube:/root/.kube:ro",
# "rohitghumare64/kubectl-mcp-server:latest"
# ]
# env:
# MCP_DEBUG: "true"
# Using npx
# mcpServers:
# kubernetes:
# command: npx
# args: ["-y", "kubectl-mcp-server@latest"]
# env:
# MCP_DEBUG: "true"
# Multi-cluster configuration
# mcpServers:
# kubernetes-prod:
# command: python
# args: ["-m", "kubectl_mcp_tool"]
# env:
# KUBECONFIG: "${HOME}/.kube/config-prod"
# MCP_DEBUG: "true"
# kubernetes-staging:
# command: python
# args: ["-m", "kubectl_mcp_tool"]
# env:
# KUBECONFIG: "${HOME}/.kube/config-staging"
# MCP_DEBUG: "true"
