Skip to main content
Glama
QUICK_DEPLOY.mdโ€ข2.37 kB
# Quick Deployment Guide ## Google Cloud Run - One Command Deploy ### Prerequisites - Google Cloud SDK installed (`gcloud`) - Docker Desktop installed and running - GCP project with billing enabled ### Quick Deploy (Windows) **1. Set your project:** ```powershell $env:GOOGLE_CLOUD_PROJECT="your-project-id" ``` **2. Run deployment script:** ```powershell .\deploy-cloud-run.ps1 -ProjectId "your-project-id" -Region "us-central1" ``` **3. Set your OpenAI API key:** ```powershell # Create secret "your-openai-api-key" | gcloud secrets create openai-api-key --data-file=- # Grant access $projectNumber = (gcloud projects describe $env:GOOGLE_CLOUD_PROJECT --format="value(projectNumber)") gcloud secrets add-iam-policy-binding openai-api-key ` --member="serviceAccount:$projectNumber-compute@developer.gserviceaccount.com" ` --role="roles/secretmanager.secretAccessor" # Update service gcloud run services update langchain-agent-mcp-server ` --update-secrets=OPENAI_API_KEY=openai-api-key:latest ` --region us-central1 ``` **4. Get your service URL:** ```powershell gcloud run services describe langchain-agent-mcp-server ` --platform managed ` --region us-central1 ` --format "value(status.url)" ``` ### Quick Deploy (Linux/Mac) **1. Set your project:** ```bash export GOOGLE_CLOUD_PROJECT="your-project-id" ``` **2. Run deployment script:** ```bash chmod +x deploy-cloud-run.sh ./deploy-cloud-run.sh ``` **3. Set your OpenAI API key:** ```bash # Create secret echo -n "your-openai-api-key" | gcloud secrets create openai-api-key --data-file=- # Grant access PROJECT_NUMBER=$(gcloud projects describe $GOOGLE_CLOUD_PROJECT --format="value(projectNumber)") gcloud secrets add-iam-policy-binding openai-api-key \ --member="serviceAccount:${PROJECT_NUMBER}-compute@developer.gserviceaccount.com" \ --role="roles/secretmanager.secretAccessor" # Update service gcloud run services update langchain-agent-mcp-server \ --update-secrets=OPENAI_API_KEY=openai-api-key:latest \ --region us-central1 ``` **4. Get your service URL:** ```bash gcloud run services describe langchain-agent-mcp-server \ --platform managed \ --region us-central1 \ --format 'value(status.url)' ``` That's it! Your service is now live on Cloud Run. For detailed instructions, see [DEPLOY_CLOUD_RUN.md](DEPLOY_CLOUD_RUN.md).

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/mcpmessenger/LangchainMCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server