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GCP MCP

by eniayomi · eniayomi/gcp-mcp

MCP server for Google Cloud Platform — natural language querying and management of GCP resources.

GCP MCP is a MCP server that mcp server for google cloud platform — natural language querying and management of gcp resources Use it from Claude Code, Cursor, Codex, or any MCP-compatible / skills-compatible agent.

Why use it

Key features

Live Demo

What it looks like in practice

gcp-mcp.replay ▶ ready
0/0

Install

Pick your client

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "gcp-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "gcp-mcp"
      ],
      "_inferred": true
    }
  }
}

Open Claude Desktop → Settings → Developer → Edit Config. Restart after saving.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "gcp-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "gcp-mcp"
      ],
      "_inferred": true
    }
  }
}

Cursor uses the same mcpServers schema as Claude Desktop. Project config wins over global.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "gcp-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "gcp-mcp"
      ],
      "_inferred": true
    }
  }
}

Click the MCP Servers icon in the Cline sidebar, then "Edit Configuration".

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "gcp-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "gcp-mcp"
      ],
      "_inferred": true
    }
  }
}

Same shape as Claude Desktop. Restart Windsurf to pick up changes.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "gcp-mcp",
      "command": "npx",
      "args": [
        "-y",
        "gcp-mcp"
      ]
    }
  ]
}

Continue uses an array of server objects rather than a map.

~/.config/zed/settings.json
{
  "context_servers": {
    "gcp-mcp": {
      "command": {
        "path": "npx",
        "args": [
          "-y",
          "gcp-mcp"
        ]
      }
    }
  }
}

Add to context_servers. Zed hot-reloads on save.

claude mcp add gcp-mcp -- npx -y gcp-mcp

One-liner. Verify with claude mcp list. Remove with claude mcp remove.

Use Cases

Real-world ways to use GCP MCP

Use GCP MCP for its core workflow

👤 Engineers and power users ⏱ ~15 min intermediate

When to use: You want MCP server integration for cloud work without writing glue code.

Prerequisites
  • Repo installed / cloned — See repo README
Flow
  1. Install
    Set up the GCP MCP MCP server.✓ Copied
    → MCP server listed in your agent config
  2. Invoke
    Use GCP MCP to run a representative task in cloud.✓ Copied
    → Tool call succeeds; result returned

Outcome: Real cloud work completed via GCP MCP with one chat.

Pitfalls
  • Auth/credential setup is the most common blocker. — Follow the repo README for env vars and tokens.
Combine with: filesystem

Combinations

Pair with other MCPs for X10 leverage

gcp-mcp + filesystem

Pair with filesystem for cloud workflows that need local file IO.

Use GCP MCP together with filesystem.✓ Copied

Tools

What this MCP exposes

ToolInputsWhen to callCost
primary_call task-specific For the main use case Varies

Cost & Limits

What this costs to run

API quota
Provider rate limits apply
Tokens per call
Varies
Monetary
Free / pay provider directly
Tip
Cache results; batch calls.

Security

Permissions, secrets, blast radius

Credential storage: Use environment variables or your OS keychain.
Data egress: Depends on integration

Troubleshooting

Common errors and fixes

Confirm install and restart your agent.

More

Resources

📖 Read the official README on GitHub

🐙 Browse open issues

🔍 Browse all 400+ MCP servers and Skills