# ccg-mcp-tool

> Use this tool when you need to integrate multiple AI coding agents into your workflow for seamless cross-provider analysis. It solves problems related to coding tasks by leveraging the strengths of Anthropic Claude Code, OpenAI Codex, and Google Gemini, providing a comprehensive interface for inputting coding tasks and outputting analyzed results. It is ideal for use cases requiring advanced reasoning, specialized coding capabilities, and large token window analysis.

Canonical page: https://skillsregistry.net/skills/diaz3618-ccg-mcp-tool  
JSON: https://api.skillsregistry.net/v1/skills/diaz3618-ccg-mcp-tool

## Description

This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hjgdjx12nc)
- **Repository:** <https://github.com/diaz3618/ccg-mcp-tool>

## 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": "diaz3618-ccg-mcp-tool"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/diaz3618-ccg-mcp-tool` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/diaz3618-ccg-mcp-tool/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