# Grok

> Use this tool when you need to integrate AI capabilities into your application, such as chat completions, text completions, and embeddings, to enhance user experience and automate tasks. Grok provides a robust API interface that takes in requests and returns relevant outputs, including model details and completion results. Ideal for developers building AI-powered applications, Grok simplifies the process of accessing and utilizing AI models, making it a valuable resource for streamlining development workflows.

Canonical page: https://skillsregistry.net/skills/brewmytech-grok  
JSON: https://api.skillsregistry.net/v1/skills/brewmytech-grok

## Description

Grok MCP Server provides AI assistants with access to the Grok API, enabling chat completions, text completions, embeddings, and model operations. Developed by BrewMyTech, this TypeScript implementation uses Zod for robust request/response validation and offers comprehensive error handling for common API issues. The server exposes five core tools: listing models, retrieving model details, creating chat completions with optional streaming support, generating text completions, and creating text embeddings. It authenticates via environment variables and is designed for seamless integration with Visual Studio Code, making it ideal for developers building applications that require Grok's AI capabilities.

## Trust

- **Trust score (0–1):** 0.98
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/brewmytech-grok)
- **Repository:** <https://github.com/brewmytech/grok-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": "brewmytech-grok"
    }
  }
}
```

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