TL;DR
Google Cloud is a Infrastructure MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent google Cloud Platform — manage Compute Engine, Cloud Storage, BigQuery, Cloud Run, and more. Install in 1 minute with mcpizy install gcp.
Google Cloud
6 toolsInfrastructure
Google Cloud Platform — manage Compute Engine, Cloud Storage, BigQuery, Cloud Run, and more.
Official homepageInstall Google Cloud
mcpizy install gcpWe could not verify a published package or a reachable endpoint for this server, so we are not showing an install command that would fail. Checked 2026-08-11. Follow the repository's own instructions instead.
Tools exposed
6 tools availablelist_instancesList Compute Engine VM instances in a project
list_instancesList Compute Engine VM instances in a project
Inputs
projectstringrequiredzonestringoptional
list_bucketsList Cloud Storage buckets
list_bucketsList Cloud Storage buckets
Inputs
projectstringrequired
list_objectsList objects in a bucket
list_objectsList objects in a bucket
Inputs
bucketstringrequired
bigquery_queryRun a BigQuery SQL query
bigquery_queryRun a BigQuery SQL query
Inputs
projectstringrequiredquerystringrequired
list_cloud_run_servicesList Cloud Run services in a region
list_cloud_run_servicesList Cloud Run services in a region
Inputs
projectstringrequiredregionstringrequired
read_logsRead Cloud Logging entries
read_logsRead Cloud Logging entries
Inputs
projectstringrequiredfilterstringoptional
Configuration
Works identically across clients. Only the config file path differs.
Claude Code~/.claude.json
~/.claude.json{
"mcpServers": {
"gcp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gcp"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service-account.json",
"GCP_PROJECT_ID": "my-project"
}
}
}
}Cursor.cursor/mcp.json
.cursor/mcp.json{
"mcpServers": {
"gcp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gcp"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service-account.json",
"GCP_PROJECT_ID": "my-project"
}
}
}
}Windsurf~/.codeium/windsurf/mcp_config.json
~/.codeium/windsurf/mcp_config.json{
"mcpServers": {
"gcp": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-gcp"
],
"env": {
"GOOGLE_APPLICATION_CREDENTIALS": "/path/to/service-account.json",
"GCP_PROJECT_ID": "my-project"
}
}
}
}Authentication setup
What you can do with Google Cloud MCP
Paste any of these prompts into Claude Code, Cursor or another MCP-compatible client.
“List all Compute Engine VMs in zone us-central1-a”
Uses: list_instances
“Run a BigQuery: SELECT COUNT(*) FROM events.page_views WHERE date > CURRENT_DATE() - 7”
Uses: bigquery_query
“Show me all Cloud Run services in europe-west1 and their revision counts”
Uses: list_cloud_run_services
“Read Cloud Logging errors from the last hour in project my-project”
Uses: read_logs
Works with
Alternatives to Google Cloud
If Google Cloud doesn't fit your stack, these Infrastructure MCP servers solve similar problems.
Frequently asked questions
What is the Google Cloud MCP server?
Google Cloud is listed as an Infrastructure Model Context Protocol server whose documented purpose is to let an MCP-compatible agent google Cloud Platform — manage Compute Engine, Cloud Storage, BigQuery, Cloud Run, and more. Client support, permissions and authentication remain specific to the upstream project.
How do I install Google Cloud MCP with Claude Code?
The fastest way is the MCPizy CLI: run `mcpizy install gcp` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `` and restarting Claude Code.
Does MCPizy charge to view or install Google Cloud MCP?
No. Reading this profile and copying its install guidance is free. Upstream software, API, account or usage costs are separate, and licence coverage should be checked from the linked source when available.
Does Google Cloud MCP work with Cursor and Windsurf?
The MCP standard is supported by those clients, but a specific server can still have client-specific setup or transport limits. Use the configuration shown on this page when present and verify the upstream instructions before installation.
What can I do with Google Cloud MCP?
Its documented purpose is to let an MCP-compatible agent google Cloud Platform — manage Compute Engine, Cloud Storage, BigQuery, Cloud Run, and more. The exact tools, permissions and write capabilities depend on the server version and configuration shown by the upstream project.
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