KCC MCP Server

Model Context Protocol (MCP) server for contributing to Google Cloud Platform's k8s-config-connector.

This MCP server provides AI assistants with tools to:

• Add fields to existing direct controller resources
• Migrate resources from Terraform-based to direct controller architecture
• Create commits with enforced attribution rules (NO AI attribution)

Features

✅ 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

Quick Start

Installation with Gemini CLI (Recommended)

# 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

Manual Installation

# Clone or copy this repository
cd kcc-mcp-server

# Install dependencies
npm install

# Build
npm run build

Configuration

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"

Usage with Gemini CLI

# 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.

Verifying Installation

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.

Usage with Claude Desktop

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"
      }
    }
  }
}

Available Tools

Resource Detection (3 tools)

kcc_find_resource

Locate files for a KCC resource (types, controller, mapper, test fixtures).

Parameters:

• resource (string): Resource name (e.g., "EdgeCacheService")

kcc_detect_controller_type

Detect if a resource uses direct controller or Terraform-based controller.

Parameters:

• resource (string): Resource name

Returns:

{
  "type": "terraform",
  "migration_needed": true,
  "service": "compute",
  "version": "v1beta1"
}

kcc_migration_status

Get migration status for a resource (shows which phases are complete).

Parameters:

• resource (string): Resource name

Returns:

{
  "resource": "ComputeURLMap",
  "overall_progress": "2/7 phases",
  "current_phase": { "number": 2, "name": "API Types", "status": "not_started" },
  "next_action": "Use kcc_scaffold_types to create API types file",
  "can_add_fields": false
}

Migration Tools (5 tools)

kcc_plan_migration

Create a detailed 7-phase migration plan for migrating a Terraform-based resource to direct controller.

Parameters:

• resource (string): Resource name

kcc_scaffold_types

Generate API types file (Phase 2 of migration).

Parameters:

• resource, service, version, proto_package, proto_message, description (optional)

kcc_scaffold_identity

Generate identity handler file (Phase 3 of migration).

Parameters:

• resource, service, version, resource_name_format

kcc_scaffold_controller

Generate controller file (Phase 5 of migration).

Parameters:

• resource, service, version, proto_package, proto_message

kcc_scaffold_mockgcp

Generate MockGCP server file (Phase 6 of migration).

Parameters:

• resource, service, proto_package, proto_message, resource_name_format

Field Addition (2 tools)

kcc_add_field

Add a field to an existing direct controller with proper proto annotations.

Parameters:

{
  "resource": "EdgeCacheService",
  "field_name": "RouteMethods",
  "field_type": "array",
  "proto_path": "google.cloud.networkservices.v1.EdgeCacheService.routing.route_rule.route_methods",
  "parent_type": "ComputeURLMapSpec",
  "description": "HTTP methods to match for routing"
}

kcc_generate_mapper

Regenerate KRM ↔ Proto mapper after adding fields.

Parameters:

• resource (string): Resource name

Git Operations (2 tools)

kcc_git_commit

Create git commit with enforced rules: blocks AI attribution, uses your git identity, validates message format.

Parameters:

{
  "message": "feat(networkservices): Add routeMethods to EdgeCacheService\n\nAdds support for HTTP method-based routing.",
  "files": ["apis/networkservices/v1alpha1/edgecacheservice_types.go"]
}

Validation:

• ✅ Blocks AI attribution (Claude, Anthropic, Gemini, OpenAI, etc.)
• ✅ Validates conventional commit format (feat:, fix:, chore:, etc.)
• ✅ Uses your configured git identity

kcc_git_status

Get current git status.

No parameters required.

Example Workflows

Example 1: Add Field to Existing Direct Controller

Scenario: Add routeMethods field to EdgeCacheService

// 1. Find the resource
kcc_find_resource({ resource: "EdgeCacheService" })

// 2. Add the field
kcc_add_field({
  resource: "EdgeCacheService",
  field_name: "RouteMethods",
  field_type: "array",
  proto_path: "google.cloud.networkservices.v1.EdgeCacheService.routing.route_rule.route_methods",
  description: "HTTP methods to match for routing"
})

// 3. Regenerate mapper
kcc_generate_mapper({ resource: "EdgeCacheService" })

// 4. Commit changes
kcc_git_commit({
  message: "feat(networkservices): Add routeMethods to EdgeCacheService\n\nAdds support for HTTP method-based routing."
})

Example 2: Migrate Terraform Resource to Direct Controller

Scenario: Migrate ComputeURLMap from Terraform to direct controller

// 1. Detect controller type
kcc_detect_controller_type({ resource: "ComputeURLMap" })
// Returns: { type: "terraform", migration_needed: true }

// 2. Check migration status
kcc_migration_status({ resource: "ComputeURLMap" })
// Shows: 2/7 phases complete, next: scaffold types

// 3. Get detailed migration plan
kcc_plan_migration({ resource: "ComputeURLMap" })
// Returns: 7 phases with specific tasks

// 4. Phase 2: Scaffold API types
kcc_scaffold_types({
  resource: "ComputeURLMap",
  service: "compute",
  version: "v1beta1",
  proto_package: "google.cloud.compute.v1",
  proto_message: "UrlMap"
})

// 5. Phase 3: Scaffold identity handler
kcc_scaffold_identity({
  resource: "ComputeURLMap",
  service: "compute",
  version: "v1beta1",
  resource_name_format: "projects/{project}/global/urlMaps/{urlMap}"
})

// 6. Phase 4: Generate mapper
kcc_generate_mapper({ resource: "ComputeURLMap" })

// 7. Phase 5: Scaffold controller
kcc_scaffold_controller({
  resource: "ComputeURLMap",
  service: "compute",
  version: "v1beta1",
  proto_package: "google.cloud.compute.v1",
  proto_message: "UrlMap"
})

// 8. Phase 6: Scaffold MockGCP
kcc_scaffold_mockgcp({
  resource: "ComputeURLMap",
  service: "compute",
  proto_package: "google.cloud.compute.v1",
  proto_message: "UrlMap",
  resource_name_format: "projects/{project}/global/urlMaps/{urlMap}"
})

// 9. Manually create test fixtures (Phase 7)
// ... create YAML files in pkg/test/resourcefixture/testdata/

// 10. Commit the migration
kcc_git_commit({
  message: "feat(compute)!: Migrate ComputeURLMap to direct controller\n\nMigrates from Terraform-based to direct controller architecture.\n\nBREAKING CHANGE: Resource moves from terraform to direct controller."
})

Testing

# Test field addition tools
npm test

# Test migration tools
node test/test-migration-tools.js

Test Results:

✅ Test 1: Detect Controller Type - PASS
✅ Test 2: Get Migration Status - PASS
✅ Test 3: Plan Migration - PASS
✅ Test 4: Verify EdgeCacheService (Direct Controller) - PASS

Troubleshooting

kccServer shows as Disconnected

If /mcp list shows 🔴 kccServer - Disconnected:

1. Check config file exists:

cat ~/.config/kcc-mcp-server/config.json

If missing, run the setup script:

cd ~/.gemini/extensions/kcc-contributor
./setup-config.sh

2. Verify SDK version (must be 1.11.0+):

cat ~/.gemini/extensions/kcc-contributor/package.json | grep "@modelcontextprotocol/sdk"

Should show: "@modelcontextprotocol/sdk": "^1.11.0"

If it shows 0.5.0 or older, update the extension:

npx @google/gemini-cli extensions uninstall kcc-contributor
npx @google/gemini-cli extensions install https://github.com/fkc1e100/kcc-mcp-server.git

3. Test server manually:

cd ~/.gemini/extensions/kcc-contributor
node dist/index.js

Should show:

✅ KCC MCP Server initialized
📁 Repository: /path/to/k8s-config-connector
👤 Author: Your Name <you@example.com>
🚀 KCC MCP Server running

4. Check repository path is valid:

Make sure the kcc_repo_path in your config points to a valid k8s-config-connector directory.

Updating the Extension

To get the latest version:

Option 1: Reinstall

npx @google/gemini-cli extensions uninstall kcc-contributor
npx @google/gemini-cli extensions install https://github.com/fkc1e100/kcc-mcp-server.git

Option 2: Manual update

cd ~/.gemini/extensions/kcc-contributor
git pull origin main
npm install

Then restart Gemini CLI.

Config File Not Found

If you see errors about config not found, create the config file:

mkdir -p ~/.config/kcc-mcp-server
cat > ~/.config/kcc-mcp-server/config.json << 'EOF'
{
  "git": {
    "author_name": "Your Name",
    "author_email": "you@example.com"
  },
  "kcc_repo_path": "/path/to/k8s-config-connector"
}
EOF

Replace the paths and details with your actual information.

Migration Phases

The migration process consists of 7 phases:

1. Proto Definitions - Verify proto files exist
2. API Types (KRM) - Define Kubernetes resource types
3. Identity Handler - Implement resource name parsing
4. Mapper Generation - Generate KRM ↔ Proto conversions
5. Controller Implementation - Implement CRUD operations
6. MockGCP Implementation - Create mock GCP server for testing
7. Test Fixtures - Create YAML test fixtures

Each phase builds on the previous phase. Use kcc_migration_status to track progress.

Critical Rules

⚠️ AI Attribution is BLOCKED

This server ENFORCES that only human contributors are credited in git commits. It will REJECT any commit message containing:

• AI assistant names (Claude, Gemini, GPT, etc.)
• AI company names (Anthropic, OpenAI, etc.)
• Co-Authored-By lines with AI emails
• Phrases like "Generated with", "AI-generated", etc.

This is a NON-NEGOTIABLE requirement for k8s-config-connector contributions.

Conventional Commits

Commit messages must follow the conventional commits format:

<type>(<scope>): <subject>

<body>

Types: feat, fix, docs, chore, refactor, test

Example:

feat(compute): Add defaultCustomErrorResponsePolicy to ComputeURLMap

Adds support for configuring custom error response policies
at the URL map level.

Architecture

kcc-mcp-server/
├── src/
│   ├── index.ts              # MCP server implementation
│   ├── config.ts             # Configuration management
│   ├── git-validator.ts      # Git attribution enforcement
│   └── tools/
│       ├── find-resource.ts          # Resource file location
│       ├── detect-controller-type.ts # Controller type detection
│       ├── migration-status.ts       # Migration progress tracking
│       ├── plan-migration.ts         # Migration plan generation
│       ├── scaffold-types.ts         # API types scaffolding
│       ├── scaffold-identity.ts      # Identity handler scaffolding
│       ├── scaffold-controller.ts    # Controller scaffolding
│       ├── scaffold-mockgcp.ts       # MockGCP scaffolding
│       ├── add-field.ts              # Field addition
│       └── generate-mapper.ts        # Mapper generation
├── test/
│   ├── test-edgecacheservice.js      # Field addition tests
│   └── test-migration-tools.js       # Migration tools tests
└── README.md

Configuration Priority

Configuration is loaded in this order (first found wins):

1. Environment variables (highest priority)
   • KCC_REPO_PATH, KCC_AUTHOR_NAME, KCC_AUTHOR_EMAIL
2. Config file (~/.config/kcc-mcp-server/config.json)
3. Git config (lowest priority, used as fallback for author name/email only)

Resources

• k8s-config-connector repo
• Main development guide
• Migration guide

License

Apache License 2.0 (following k8s-config-connector)

Authors

• Frank Currie (fcurrie@google.com)