Google Cloud MCP Server
Provides tools for managing Google Cloud resources including Billing, Error Reporting, IAM, Logging, Monitoring, Profiler, Spanner, Trace, and Compute.
Allows executing SQL queries, listing tables, instances, databases, and natural language querying on Spanner databases.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Google Cloud MCP Server Show me my billing accounts"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Google Cloud MCP Server
A Model Context Protocol server that connects to Google Cloud services to provide context and tools for interacting with your Google Cloud resources.
Services
Supported Google Cloud services:
Billing
Manage and analyse Google Cloud billing with cost optimisation insights:
Tools: gcp-billing-list-accounts, gcp-billing-get-account-details, gcp-billing-list-projects, gcp-billing-get-project-info, gcp-billing-list-services, gcp-billing-list-skus, gcp-billing-analyse-costs, gcp-billing-detect-anomalies, gcp-billing-cost-recommendations, gcp-billing-service-breakdown
Example prompts:
"Show me all my billing accounts"
"Analyse costs for project my-app-prod-123 for the last 30 days"
"Generate cost recommendations for billing account billingAccounts/123456-789ABC-DEF012"
"Check for billing anomalies in project my-ecommerce-456"
Error Reporting
Monitor and analyse application errors with automated investigation and remediation suggestions:
Tools: gcp-error-reporting-list-groups, gcp-error-reporting-get-group-details, gcp-error-reporting-analyse-trends
Example prompts:
"Show me error groups from project my-webapp-prod-789 for the last hour"
"Get details for error group projects/my-app-123/groups/xyz789"
"Analyse error trends for service my-api in project analytics-prod-456"
IAM
Query and analyse IAM policies and permissions:
Tools: gcp-iam-get-project-policy, gcp-iam-test-project-permissions, gcp-iam-test-resource-permissions, gcp-iam-validate-deployment-permissions, gcp-iam-list-deployment-services, gcp-iam-analyse-permission-gaps
Example prompts:
"Get IAM policy for project my-webapp-prod-123"
"Test if I have storage.buckets.create permission on project data-lake-456"
"Check deployment permissions for Cloud Run in project microservices-789"
"Analyse permission gaps for deploying to GKE cluster in project k8s-prod-321"
Logging
Query and filter log entries from Google Cloud Logging:
Tools: gcp-logging-query-logs, gcp-logging-query-time-range, gcp-logging-search-comprehensive
Example prompts:
"Show me logs from project my-app-prod-123 from the last hour with severity ERROR"
"Search for logs containing 'timeout' from service my-api in project backend-456"
"Query logs for resource type gce_instance in project compute-prod-789"
Spanner
Interact with Google Cloud Spanner databases:
Tools: gcp-spanner-execute-query, gcp-spanner-list-tables, gcp-spanner-list-instances, gcp-spanner-list-databases, gcp-spanner-query-natural-language, gcp-spanner-query-count
Example prompts:
"List all databases in Spanner instance my-instance in project ecommerce-prod-123"
"Execute SQL: SELECT COUNT(*) FROM users in database user-db in project my-app-456"
"Show me table structure for orders in database inventory-db in project retail-789"
Monitoring
Retrieve and analyse metrics from Google Cloud Monitoring:
Tools: gcp-monitoring-query-metrics, gcp-monitoring-list-metric-types, gcp-monitoring-query-natural-language
Example prompts:
"Show me CPU utilisation metrics for project web-app-prod-123 for the last 6 hours"
"List available metric types for Compute Engine in project infrastructure-456"
"Query memory usage for instances in project backend-services-789"
Profiler
Analyse application performance with Google Cloud Profiler:
Tools: gcp-profiler-list-profiles, gcp-profiler-analyse-performance, gcp-profiler-compare-trends
Example prompts:
"List CPU profiles from project my-java-app-123 for the last 24 hours"
"Analyse performance bottlenecks in service my-api in project backend-prod-456"
"Compare heap profiles for deployment v1.2 vs v1.3 in project performance-test-789"
Trace
Analyse distributed traces from Google Cloud Trace:
Tools: gcp-trace-get-trace, gcp-trace-list-traces, gcp-trace-find-from-logs, gcp-trace-query-natural-language
Example prompts:
"Get trace details for ID abc123def456 in project distributed-app-789"
"Show me failed traces from project microservices-prod-123 from the last hour"
"Find logs related to trace xyz789 in project web-backend-456"
"Query traces for service checkout-api in project ecommerce-prod-321"
Compute
Manage Compute Engine VM instances and deploy simple static HTML websites using startup scripts.
Tools: gcp-compute-list-instances, gcp-compute-create-instance, gcp-compute-delete-instance, gcp-compute-start-instance, gcp-compute-stop-instance, get-compute-vm-status, get-compute-vm-ip, deploy-static-html-site
Example prompts:
"Deploy a static HTML site in project my-site-123 in zone us-central1-a using VM name
site-vmand serve<h1>Hello</h1>; return the public URL.""Check VM status for
site-vminus-central1-auntil it is RUNNING.""Get the public HTTP URL for
site-vminus-central1-a."
Note: The deploy-static-html-site tool creates an e2-micro Debian 12 VM with an external IP and an nginx-based startup script; the HTML content is embedded (base64-encoded) in the startup script and written to /var/www/html/index.html. This flow requires no SSH or file uploads.
Related MCP server: GCP MCP
Quick Start
Once configured, you can interact with Google Cloud services using natural language:
"What are my current billing costs for project my-webapp-prod-123?"
"Show me errors from project ecommerce-api-456 in the last hour"
"Check if I have permission to deploy to Cloud Run in project microservices-789"
"Find logs containing 'database timeout' from project backend-prod-321 yesterday"
"List Spanner databases in instance prod-db for project data-store-654"
"What's the CPU usage of Compute Engine instances in project infrastructure-987?"Authentication
This server supports two methods of authentication with Google Cloud:
Service Account Key File (Recommended): Set the
GOOGLE_APPLICATION_CREDENTIALSenvironment variable to the path of your service account key file. This is the standard Google Cloud authentication method.Environment Variables: Set
GOOGLE_CLIENT_EMAILandGOOGLE_PRIVATE_KEYenvironment variables directly. This is useful for environments where storing a key file is not practical.
The server will also use the GOOGLE_CLOUD_PROJECT environment variable if set, otherwise it will attempt to determine the project ID from the authentication credentials.
Installation
# Clone the repository
git clone https://github.com/iamishaan24/gcp-mcp-server.git
cd google-cloud-mcp
# Install dependencies
pnpm install
# Build
pnpm buildAuthenticate to Google Cloud:
gcloud auth application-default loginTo create service account key:
gcloud config set project YOUR_PROJECT_ID
gcloud iam service-accounts create mcp-service-account \
--display-name="MCP Service Account"
gcloud projects add-iam-policy-binding YOUR_PROJECT_ID \
--member="serviceAccount:mcp-service-account@YOUR_PROJECT_ID.iam.gserviceaccount.com" \
--role="roles/viewer"
gcloud iam service-accounts keys create mcp-key.json \
--iam-account=mcp-service-account@YOUR_PROJECT_ID.iam.gserviceaccount.com
To use the key
Linux/mac
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/mcp-key.json"
powershell
$env:GOOGLE_APPLICATION_CREDENTIALS="D:\path\to\mcp-key.json"Configuration
Configure the mcpServers in your client:
{
"mcpServers": {
"google-cloud-mcp": {
"command": "node",
"args": [
"/Users/foo/code/google-cloud-mcp/dist/index.js"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "/Users/foo/.config/gcloud/application_default_credentials.json"
}
}
}
}Development
Starting the server
# Build the project
pnpm build
# Start the server
pnpm startDevelopment mode
# Build the project
pnpm build
# Start the server and inspector
npx -y @modelcontextprotocol/inspector node dist/index.jsTroubleshooting
Server Timeout Issues
If you encounter timeout issues when running the server with Smithery, try the following:
Enable debug logging by setting
debug: truein your configurationEnsure
lazyAuth: trueis set to defer authentication until it's actually neededEnsure your credentials file is accessible and valid
Check the logs for any error messages
Important: Authentication is still required for operation, but with lazy loading enabled, the server will start immediately and authenticate when needed rather than during initialization.
Authentication Issues
The server supports two methods of authentication:
Service Account Key File: Set
GOOGLE_APPLICATION_CREDENTIALSenvironment variable to the path of your service account key fileEnvironment Variables: Set
GOOGLE_CLIENT_EMAILandGOOGLE_PRIVATE_KEYenvironment variables
If you're having authentication issues, make sure:
Your service account has the necessary permissions
The key file is properly formatted and accessible
Environment variables are correctly set
Available Tools
56 toolscreate-static-site-bucketCreate Static Site BucketB
Create a Cloud Storage bucket configured for static site hosting (uniform bucket-level access).
Inputs: bucketName (required), location, projectId.
delete-static-site-bucketDelete Storage BucketA
Delete a Cloud Storage bucket (must be empty).
Inputs: bucketName (required).
deploy-static-html-siteDeploy Static HTML SiteB
Create a VM with a startup script that installs nginx and writes provided HTML to /var/www/html/index.html
Inputs: zone (required), vmName (required), htmlContent (required), projectId.
deploy-static-site-from-htmlDeploy Static Site from HTMLB
Create a bucket, upload HTML, and provision a VM that serves the bucket content via nginx.
Inputs: zone (required), vmName (required), bucketName (required), htmlContent (required), +1 more.
gcp-billing-analyse-costsAnalyse Billing CostsC
Perform detailed cost analysis with trends and insights for Google Cloud billing data
Inputs: endDate (required), startDate (required), billingAccountName (required), groupBy, +2 more.
gcp-billing-cost-recommendationsGenerate Cost RecommendationsB
Generate cost optimisation recommendations with potential savings for Google Cloud billing
Inputs: billingAccountName (required), priority, projectId, minSavingsAmount.
gcp-billing-detect-anomaliesDetect Cost AnomaliesC
Detect unusual cost patterns and spending anomalies in Google Cloud billing data
Inputs: billingAccountName (required), projectId, lookbackDays, thresholdPercentage.
gcp-billing-get-account-detailsGet Billing Account DetailsA
Retrieve detailed information about a specific Google Cloud billing account
Inputs: billingAccountName (required).
gcp-billing-get-project-infoGet Project Billing InformationA
Retrieve billing configuration and status for a Google Cloud project
Inputs: projectId.
gcp-billing-list-accountsList Billing AccountsA
List all Google Cloud billing accounts accessible to the user
Inputs: filter, pageSize, pageToken.
gcp-billing-list-projectsList Billing Account ProjectsA
List all projects associated with a specific Google Cloud billing account
Inputs: billingAccountName (required), pageSize, pageToken.
gcp-billing-list-servicesList Google Cloud ServicesB
List all available Google Cloud services for billing and cost analysis
Inputs: pageSize, pageToken.
gcp-billing-list-skusList Service SKUsB
List all SKUs (Stock Keeping Units) and pricing information for a Google Cloud service
Inputs: serviceId (required), pageSize, pageToken, currencyCode.
gcp-billing-service-breakdownGet Service Cost BreakdownC
Get detailed cost breakdown by Google Cloud service with usage and SKU information
Inputs: billingAccountName (required), projectId, timeRange.
gcp-compute-create-instanceCreate Compute InstanceA
Create a Compute Engine VM instance with simple parameters
Inputs: name (required), zone (required), image, network, +2 more.
gcp-compute-delete-instanceDelete Compute InstanceA
Delete a Compute Engine VM instance by name and zone
Inputs: name (required), zone (required).
gcp-compute-get-instance-ipGet Instance IP and SSH CommandB
Fetch external IP(s) for a VM and provide suggested SSH commands
Inputs: name (required), zone (required).
gcp-compute-list-instancesList Compute InstancesA
List Compute Engine VM instances across the project or within a zone
Inputs: zone, filter, pageSize.
gcp-compute-start-instanceStart Compute InstanceB
Start a stopped Compute Engine VM instance
Inputs: name (required), zone (required).
gcp-compute-stop-instanceStop Compute InstanceB
Stop a running Compute Engine VM instance
Inputs: name (required), zone (required).
gcp-error-reporting-analyse-trendsD
Inputs: no named parameters.
gcp-error-reporting-get-group-detailsD
Inputs: no named parameters.
gcp-error-reporting-list-groupsD
Inputs: no named parameters.
gcp-iam-analyse-permission-gapsAnalyse Permission GapsC
Compare current permissions against required permissions for specific operations and identify gaps
Inputs: requiredPermissions (required), project, operationDescription.
gcp-iam-get-project-policyGet Project IAM PolicyB
Retrieve the IAM policy for a Google Cloud project
Inputs: project, requestedPolicyVersion.
gcp-iam-list-deployment-servicesList Available Deployment ServicesB
List all GCP services with pre-defined deployment permission sets
Inputs: no named parameters.
gcp-iam-test-project-permissionsTest Project IAM PermissionsA
Test which permissions the current caller has on a Google Cloud project
Inputs: permissions (required), project.
gcp-iam-test-resource-permissionsTest Resource-Specific IAM PermissionsA
Test which permissions the current caller has on specific Google Cloud resources
Inputs: resource (required), permissions (required).
gcp-iam-validate-deployment-permissionsValidate Deployment PermissionsA
Check if current caller has required permissions for deploying to common GCP services
Inputs: service (required), project, includeOptional.
gcp-list-project-idsList Project IDsB
List all accessible Google Cloud project IDs
Inputs: filter, pageSize.
gcp-logging-query-logsQuery LogsB
Query Google Cloud Logs with custom filters. Searches across all payload types (text, JSON, proto) and metadata fields.
Inputs: filter (required), limit.
gcp-logging-query-time-rangeQuery Logs by Time RangeA
Query Google Cloud Logs within a specific time range. Supports relative times (1h, 2d) and ISO timestamps.
Inputs: startTime (required), limit, filter, endTime.
gcp-logging-search-comprehensiveComprehensive Log SearchC
Search across all log fields including textPayload, jsonPayload, protoPayload, labels, HTTP requests, and metadata. Provides maximum context.
Inputs: searchTerm (required), limit, resource, severity, +1 more.
gcp-monitoring-list-metric-typesD
Inputs: filter, timeout, pageSize.
gcp-monitoring-query-metricsD
Inputs: filter (required), startTime (required), endTime, alignmentPeriod.
gcp-monitoring-query-natural-languageD
Inputs: query (required), endTime, startTime, alignmentPeriod.
gcp-profiler-analyse-performanceD
Inputs: no named parameters.
gcp-profiler-compare-trendsD
Inputs: no named parameters.
gcp-profiler-list-profilesD
Inputs: no named parameters.
gcp-spanner-execute-queryD
Inputs: sql (required), params, databaseId, instanceId.
gcp-spanner-list-databasesD
Inputs: instanceId (required).
gcp-spanner-list-instancesD
Inputs: _dummy.
gcp-spanner-list-tablesD
Inputs: databaseId, instanceId.
gcp-spanner-query-countD
Inputs: status, endTime, queryType, startTime, +3 more.
gcp-spanner-query-natural-languageD
Inputs: query (required), databaseId, instanceId.
gcp-trace-find-from-logsD
Inputs: filter (required), limit, projectId.
gcp-trace-get-traceD
Inputs: traceId (required), projectId.
gcp-trace-list-tracesD
Inputs: limit, filter, projectId, startTime.
gcp-trace-query-natural-languageD
Inputs: query (required), projectId.
gcp-utils-get-project-idGet Project IDA
Get the current Google Cloud project ID and recent project history
Inputs: no named parameters.
gcp-utils-set-project-idSet Project IDB
Set the default Google Cloud project ID to use for all operations
Inputs: project_id (required).
generate_gcp_mermaid_diagramGenerate GCP Mermaid DiagramA
Generate a Mermaid architecture diagram for a GCP project
Inputs: projectId (required).
get-compute-vm-ipGet Compute VM IPB
Fetch the external IP of a VM and return an http URL
Inputs: zone (required), vmName (required), projectId.
get-compute-vm-statusGet Compute VM StatusB
Retrieve the status of a Compute Engine VM instance
Inputs: zone (required), vmName (required), projectId.
list-static-site-bucketsList Storage BucketsB
List Cloud Storage buckets in the project.
Inputs: projectId.
upload-static-site-htmlUpload Static Site HTMLB
Upload an HTML file to Cloud Storage and make it publicly readable.
Inputs: bucketName (required), htmlContent (required), fileName.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 56 tools
Multiple tools appear to do the same thing: gcp-compute-get-instance-ip vs get-compute-vm-ip, gcp-logging-query-logs vs gcp-logging-search-comprehensive, deploy-static-html-site vs deploy-static-site-from-html, plus several natural-language query variants for Spanner, Monitoring, and Trace. Many tools have no descriptions at all, making boundaries impossible to distinguish reliably.
Most tools follow a readable gcp-service-verb-noun pattern, which helps navigation. However, the pattern is broken by unprefixed tools like deploy-static-html-site and get-compute-vm-ip, and by generate_gcp_mermaid_diagram using underscores. These are mixed conventions rather than complete chaos.
56 tools is well above the 25+ threshold for a coherent toolkit. The count feels bloated because several tools could be consolidated, such as IP retrieval, logging queries, static-site deployment, and cost analysis variants.
The server covers a broad read-only observability and billing surface, plus basic compute and static-site workflows, but major GCP services like BigQuery, Cloud Run, GKE, and full Cloud Storage are missing. Even within covered services there are notable gaps: no IAM policy updates, no Spanner writes/DDL, no compute update, and no object-level static-site deletion.
Maintenance
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