# gpal

> Use this tool when you need to analyze and review large codebases, identify bugs, or optimize software architecture, as it provides autonomous codebase exploration and deep code analysis capabilities through Google Gemini integration. It takes in codebase inputs and outputs detailed analysis and review reports, enabling informed development decisions. Ideal for use in integrated development environments (IDEs) or agent-based workflows.

Canonical page: https://skillsregistry.net/skills/tobert-gpal  
JSON: https://api.skillsregistry.net/v1/skills/tobert-gpal

## Description

An MCP server that gives your IDE or agent access to Google Gemini with autonomous codebase exploration, enabling deep code analysis, architectural reviews, and bug hunting.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tus0xzlmfi)
- **Repository:** <https://github.com/tobert/gpal>

## 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": "tobert-gpal"
    }
  }
}
```

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