Google Cloud Integration
Google Cloud Integration
Integrate Dispersl with Google Cloud Platform and Google development tools through Model Context Protocol (MCP) to enhance your Google-based development workflows with multi-agent AI capabilities.
What You'll Get
With Dispersl integrated into Google Cloud ecosystem, you can:
- Enhance Google Cloud development with multi-agent coordination
- Integrate with Google Cloud Build for comprehensive CI/CD workflows
- Coordinate with Google Workspace for documentation and collaboration
- Automate Google Cloud deployments with specialized agents
- Generate comprehensive documentation for Google Cloud platforms
- Manage enterprise development workflows with AI assistance
Prerequisites
- Google Cloud Platform account with appropriate permissions
- Google Cloud SDK installed and configured
- Active Dispersl account with API access
- Dispersl MCP key (obtained from your dashboard)
- Google Workspace access (for advanced features)
Setup Instructions
Step 1: Get Your Dispersl MCP Key
Obtain your Dispersl MCP key:
- Log into your Dispersl dashboard
- Navigate to Settings → MCP Integration
- Generate a new MCP key or copy your existing key
- Save this key securely for configuration
Or via API:
curl -X GET "https://api.dispersl.com/v1/mcp/key" \
-H "Authorization: Bearer YOUR_DISPERSL_API_KEY"
Step 2: Google Cloud SDK Configuration
Install Dispersl GCP Extension
# Install Dispersl GCP integration
npm install -g dispersl-gcp-mcp
# Configure with Google Cloud SDK
gcloud config set dispersl/mcp_key YOUR_DISPERSL_MCP_KEY
gcloud config set dispersl/enabled true
Authentication Setup
# Authenticate with Google Cloud
gcloud auth login
gcloud auth application-default login
# Set up service account for Dispersl (recommended for production)
gcloud iam service-accounts create dispersl-integration \
--display-name="Dispersl MCP Integration"
gcloud projects add-iam-policy-binding YOUR_PROJECT_ID \
--member="serviceAccount:dispersl-integration@YOUR_PROJECT_ID.iam.gserviceaccount.com" \
--role="roles/cloudbuild.builds.editor"
gcloud iam service-accounts keys create dispersl-key.json \
--iam-account=dispersl-integration@YOUR_PROJECT_ID.iam.gserviceaccount.com
Step 3: Google Cloud Build Integration
Cloud Build Configuration
Create cloudbuild.yaml
with Dispersl integration:
steps:
# Dispersl Code Analysis
- name: 'node:18'
entrypoint: 'npm'
args: ['install', '-g', 'dispersl-gcp-mcp']
env:
- 'DISPERSL_MCP_KEY=${_DISPERSL_MCP_KEY}'
- name: 'node:18'
entrypoint: 'dispersl-gcp-mcp'
args: ['analyze', '--project', '.', '--format', 'gcp']
env:
- 'DISPERSL_MCP_KEY=${_DISPERSL_MCP_KEY}'
- 'GOOGLE_CLOUD_PROJECT=${PROJECT_ID}'
# Dispersl Test Generation
- name: 'node:18'
entrypoint: 'dispersl-gcp-mcp'
args: ['test-generate', '--coverage', '90', '--framework', 'jest']
env:
- 'DISPERSL_MCP_KEY=${_DISPERSL_MCP_KEY}'
# Dispersl Documentation
- name: 'node:18'
entrypoint: 'dispersl-gcp-mcp'
args: ['docs-generate', '--format', 'google-docs', '--publish']
env:
- 'DISPERSL_MCP_KEY=${_DISPERSL_MCP_KEY}'
- 'GOOGLE_DOCS_FOLDER_ID=${_DOCS_FOLDER_ID}'
# Build and Deploy
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '-t', 'gcr.io/$PROJECT_ID/app:$COMMIT_SHA', '.']
- name: 'gcr.io/cloud-builders/docker'
args: ['push', 'gcr.io/$PROJECT_ID/app:$COMMIT_SHA']
- name: 'gcr.io/cloud-builders/gcloud'
args: ['run', 'deploy', 'app', '--image', 'gcr.io/$PROJECT_ID/app:$COMMIT_SHA', '--region', 'us-central1']
substitutions:
_DISPERSL_MCP_KEY: 'your-dispersl-mcp-key'
_DOCS_FOLDER_ID: 'your-google-docs-folder-id'
options:
logging: CLOUD_LOGGING_ONLY
Verification
Test your Google Cloud + Dispersl integration:
-
Open your development environment
-
Test the connection:
dispersl-gcp-mcp status --project your-gcp-project-id
-
Test agent coordination:
dispersl-gcp-mcp plan "Deploy a Node.js app to Google Cloud Run with monitoring"
If successful, you'll see Dispersl agents coordinating with Google Cloud services.
Using Dispersl with Google Cloud
Cloud-Native Application Development
Serverless Application with Cloud Functions
Dispersl: Build a serverless application with:
- Google Cloud Functions for API endpoints
- Firestore for data storage
- Cloud Storage for file uploads
- Cloud Pub/Sub for event processing
- Cloud Monitoring for observability
- Comprehensive testing with Cloud Build
- Documentation in Google Docs
Coordinate agents for cloud-native development.
Microservices on Google Kubernetes Engine
Create microservices architecture:
- Multiple services on GKE
- Cloud SQL for database
- Cloud Load Balancing
- Cloud Armor for security
- Istio service mesh
- Comprehensive monitoring and logging
- Automated CI/CD with Cloud Build
Best Practices
Google Cloud Integration
- Follow Google Cloud standards: Ensure generated code follows Google Cloud best practices
- Cost optimization: Implement cost-effective resource usage
- Security first: Use Google Cloud security features and IAM
- Scalability patterns: Apply Google Cloud scalability patterns
Development Workflow
- Integrated toolchain: Leverage the full Google Cloud development stack
- Automated pipelines: Use Cloud Build for comprehensive CI/CD
- Documentation standards: Maintain consistent documentation across Google platforms
- Team collaboration: Use Google Workspace for effective team coordination
Next Steps
- Configure Google Cloud integration following the setup instructions
- Test with simple Google Cloud projects to verify functionality
- Implement enterprise workflows with multi-agent coordination
- Scale to production Google Cloud environments with confidence
- Optimize for Google Cloud ecosystem best practices and performance
Ready to enhance your Google Cloud development ecosystem with Dispersl's multi-agent AI platform!