googleapis/gcloud-mcp
If you are the rightful owner of gcloud-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.
The gcloud Model Context Protocol (MCP) server facilitates natural language interaction with Google Cloud services via the gcloud CLI.
gcloud MCP Server ☁️
The gcloud Model Context Protocol (MCP) server enables AI assistants to easily interact with the Google Cloud environment using the gcloud CLI. With the gcloud MCP server you can:
- Interact with Google Cloud using natural language. Describe the outcome you want instead of memorizing complex command syntax, flags, and arguments.
- Automate and simplify complex workflows. Chain multiple cloud operations into a single, repeatable command to reduce manual effort and the chance of error.
- Lower the barrier to entry for cloud management. Empower team members who are less familiar with gcloud to perform powerful actions confidently and safely.
📡 Available MCP Servers
This repository also hosts other MCP servers in addition to the gcloud MCP server. An up to date list is below, and links to other Google Cloud MCP servers hosted outside of this repo are here.
MCP Server Name | Description | Package Name |
---|---|---|
gcloud | Interact with Google Cloud via the gcloud CLI using natural language prompts. | gcloud-mcp |
observability | Access Google Cloud Observability APIs to query logs, metrics, and traces. | observability-mcp |
🚀 Getting Started
Prerequisites
- Node.js: version 20 or higher
- gcloud CLI
✨ Set up your MCP server
Gemini CLI and Gemini Code Assist
To integrate MCP servers with Gemini CLI or Gemini Code Assist, run the setup command below from your home directory for MCP server listed in the table. This will install the MCP server as a Gemini CLI extension. for the current user, making it available for all your projects.
npx @google-cloud/[PACKAGE_NAME] init --agent=gemini-cli
For example, for the gcloud-mcp:
npx @google-cloud/gcloud-mcp init --agent=gemini-cli
After the initialization process, you can verify that the gcloud-mcp server is configured correctly by running the following command:
gemini mcp list
> ✓ gcloud: npx -y @google-cloud/gcloud-mcp (stdio) - Connected
For other AI clients
To use MCP servers in this repo with other clients, add the following snippet to their respective JSON configuration files for each MCP server:
"[SERVER_NAME]": {
"command": "npx",
"args": ["-y", "@google-cloud/[PACKAGE_NAME]"]
}
For example, for gcloud:
"gcloud": {
"command": "npx",
"args": ["-y", "@google-cloud/gcloud-mcp"]
}
Instructions for popular tools:
- Claude Desktop: Open Claude > Settings > Developer > Edit Config and
edit
claude_desktop_config.json
. - Cline: Click the MCP Servers icon, then Configure MCP Servers to edit
cline_mcp_settings.json
. - Cursor: Edit
.cursor/mcp.json
for a single project or~/.cursor/mcp.json
for all projects. - Gemini CLI (Manual Setup): If not using extensions,
edit
.gemini/settings.json
for a single project or~/.gemini/settings.json
for all projects.
For Visual Studio Code edit the .vscode/mcp.json
file in your workspace
for a single project or your global user settings file for all projects:
"servers": {
"[SERVER_NAME]": {
"command": "npx",
"args": ["-y", "@google-cloud/[PACKAGE_NAME]"]
}
}
For example, for gcloud and observability:
"servers": {
"gcloud": {
"command": "npx",
"args": ["-y", "@google-cloud/gcloud-mcp"]
},
"observability": {
"command": "npx",
"args": ["-y", "@google-cloud/observability-mcp"]
},
}
🛠 Local Development
For more information regarding installing the repository locally, please see
🧰 Available MCP Tools
MCP Server | Tool | Description |
---|---|---|
gcloud | run_gcloud_command | Executes a gcloud command. Some commands have been restricted from execution by the agent. See MCP Permissions for more information. |
observability | list_log_entries | Lists log entries from a project. |
list_log_names | Lists log names from a project. | |
list_buckets | Lists log buckets from a project. | |
list_views | Lists log views from a project. | |
list_sinks | Lists log sinks from a project. | |
list_log_scopes | Lists log scopes from a project. | |
list_metric_descriptors | Lists metric descriptors for a project. | |
list_time_series | Lists time series data for a given metric. | |
list_alert_policies | Lists the alert policies in a project. | |
list_traces | Searches for traces in a project. | |
get_trace | Gets a specific trace by id in a project. | |
list_group_stats | Lists the error groups for a project. |
🔑 MCP Permissions
The permissions of the gcloud MCP are directly tied to the permissions of the gcloud user. To restrict permissions and operate with the principle of least privilege, you can authorize as a service account and assign the service account a role with limited permissions.
By default, the gcloud MCP prevents execution of gcloud commands that don't make sense for AI agents. This is done to restrict commands that can run arbitrary inputs and initiate interactive sessions. See here for the list of denied commands.
💫 Other Google Cloud MCP Servers
Google Cloud offers these other servers:
- Firebase MCP
- Google Analytics MCP
- Google Cloud Genmedia MCP
- Google Cloud Run MCP
- Google Kubernetes Engine (GKE) MCP
- Google Security Operations and Threat Intelligence MCP
- MCP Toolbox for Databases
👥 Contributing
We welcome contributions! Whether you're fixing bugs, sharing feedback, or improving documentation, your contributions are welcome. Please read our to get started.
📄 Important Notes
This repository is currently in preview and may see breaking changes. This repository is providing a solution, not an officially supported Google product. It may break when the MCP specification, other SDKs, or when other solutions and products change. See also our .