MCP server for k8s-config-connector contributions - Internal tool
{
"mcpServers": {
"kcc-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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MCP server for k8s-config-connector contributions - Internal tool
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Last commit 161 days ago.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Model Context Protocol (MCP) server for contributing to Google Cloud Platform's k8s-config-connector.
This MCP server provides AI assistants with tools to:
✅ 12 MCP Tools for k8s-config-connector contributions ✅ Universal AI Attribution Blocking - enforces human-only commit authorship ✅ Resource Detection - automatically determines controller type ✅ Migration Planning - 7-phase workflow for Terraform → Direct migration ✅ Code Scaffolding - generates boilerplate for types, controller, MockGCP ✅ Proto Annotations - maintains KRM ↔ GCP proto mappings
# Install from GitHub
npx @google/gemini-cli extensions install https://github.com/fkc1e100/kcc-mcp-server.git
# Run setup
cd ~/.gemini/extensions/kcc-contributor
./setup-config.sh
# Start using it
npx @google/gemini-cli chat
# Clone or copy this repository
cd kcc-mcp-server
# Install dependencies
npm install
# Build
npm run build
Option 1: Interactive Setup (Easiest)
Run the setup script after installation:
./setup-config.sh
This creates ~/.config/kcc-mcp-server/config.json with your settings.
Option 2: Manual Config File
Create ~/.config/kcc-mcp-server/config.json:
{
"git": {
"author_name": "Your Name",
"author_email": "you@example.com"
},
"kcc_repo_path": "/path/to/k8s-config-connector"
}
Option 3: Environment Variables
export KCC_REPO_PATH="/path/to/k8s-config-connector"
export KCC_AUTHOR_NAME="Your Name"
export KCC_AUTHOR_EMAIL="you@example.com"
# Start chat session
npx @google/gemini-cli chat
# or
gemini --yolo
# Check MCP server status
/mcp list
# Should show:
# 🟢 kccServer (from kcc-contributor) - Ready (12 tools)
Example prompts:
Check if ComputeURLMap needs migration
Find the EdgeCacheService resource files
Add a new field called routeMethods to EdgeCacheService
See GEMINI_CLI_USAGE.md for more examples.
After installation, verify the MCP server is connected:
npx @google/gemini-cli chat
Then in the chat:
/mcp list
You should see:
🟢 kccServer (from kcc-contributor) - Ready (12 tools)
Tools:
- kcc_add_field
- kcc_detect_controller_type
- kcc_find_resource
- kcc_generate_mapper
- kcc_git_commit
- kcc_git_status
- kcc_migration_status
- kcc_plan_migration
- kcc_scaffold_controller
- kcc_scaffold_identity
- kcc_scaffold_mockgcp
- kcc_scaffold_types
If you see 🔴 kccServer - Disconnected, see Troubleshooting below.
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
{
"mcpServers": {
"kcc-contributor": {
"command": "node",
"args": ["/path/to/kcc-mcp-server/dist/index.js"],
"env": {
"KCC_REPO_PATH": "/path/to/k8s-config-connector"
}
}
}
}
kcc_find_resourceLocate files for a KCC resource (types, controller, mapper, test fixtures).
Parameters:
resource (string): Resource name (e.g., "EdgeCacheService")kcc_detect_controller_typeDetect if a resource uses direct controller or Terraform-based controller.
Parameters:
resource (string): Resource nameReturns:
{
"type": "terraform",
"migration_needed": true,
"service": "compute",
"version": "v1beta1"
}
kcc_migration_statusGet migration status for a resource (shows wh