# Grok

> Use this tool when you need to leverage AI-powered language and vision capabilities to generate text, analyze images, or invoke intelligent functions. Grok provides a standardized interface for interacting with its models, enabling seamless AI integration across various use cases. It accepts input through a direct integration and outputs results through chat completion, image understanding, and function calling.

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

## Description

Grok MCP provides a direct integration with Grok AI's powerful language and vision capabilities, exposing three primary tools: chat completion, image understanding, and function calling. Built by Braden Olmstead, this TypeScript-based server enables developers to interact with Grok's latest models through a standardized MCP interface, with a focus on seamless AI interaction across different use cases like text generation, image analysis, and intelligent function invocation.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/braden-olmstead-grok)
- **Repository:** <https://github.com/bob-lance/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": "braden-olmstead-grok"
    }
  }
}
```

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