# GCP MCP Server

> Use this tool when you need to manage and interact with Google Cloud Platform resources, such as Compute Engine and Storage, through a standardized interface. It enables AI assistants to solve problems like resource provisioning, data analysis, and service automation, with inputs including API requests and outputs including resource status and data queries. Ideal for use cases requiring centralized management of GCP services, streamlining workflows and improving efficiency.

Canonical page: https://skillsregistry.net/skills/enesbol-gcp-mcp  
JSON: https://api.skillsregistry.net/v1/skills/enesbol-gcp-mcp

## Description

Enables AI assistants to interact with and manage Google Cloud Platform resources including Compute Engine, Cloud Run, Storage, BigQuery, and other GCP services through a standardized MCP interface.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/peo047cu7t)
- **Repository:** <https://github.com/enesbol/gcp-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "enesbol-gcp-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/enesbol-gcp-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/enesbol-gcp-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt