# GCP

> Use this tool when you need to manage Google Cloud Platform resources programmatically, as it provides a standardized interface for interacting with multiple GCP services like Compute Engine and Cloud Storage. This server solves problems of complex manual configuration and inconsistent management approaches, enabling developers and AI assistants to efficiently interact with GCP resources. It accepts inputs through the Model Context Protocol and outputs controlled GCP resource interactions, making it ideal for use cases requiring automated cloud resource management.

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

## Description

Provides a standardized interface for interacting with Google Cloud Platform services through the Model Context Protocol. Built by Enes Bol, this server enables AI assistants to manage and interact with GCP resources across multiple services like Compute Engine, Cloud Run, BigQuery, and Cloud Storage through a consistent, tool-driven approach. Particularly useful for developers and AI assistants seeking programmatic cloud resource management without complex manual configuration.

## Trust

- **Trust score (0–1):** 0.91
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/enesbol-gcp)
- **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"
    }
  }
}
```

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

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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