How do I use grok-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@grok-mcp summarize X posts about Rust programming from @rustlang" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

grok-mcp

by Pantainos-Toolkit

Overview Schema Related Servers Score Discussions

Python

Remote

grok-mcp

FastMCP server for searching X (Twitter) via the xAI Grok API.

Uses the xAI Responses API with the x_search server-side tool — Grok autonomously searches X, analyses results, and returns a grounded answer with citations.

Tools

`search_x`

Search X posts and get a summarised answer with source citations.

Parameter	Type	Default	Description
`query`	`str`	required	Natural-language search query
`allowed_handles`	`list[str]`	`None`	X usernames to restrict search to (max 10)
`excluded_handles`	`list[str]`	`None`	X usernames to exclude (max 10)
`from_date`	`str`	`None`	Start date filter (ISO 8601, e.g. `2026-02-01`)
`to_date`	`str`	`None`	End date filter (ISO 8601)
`enable_image_understanding`	`bool`	`True`	Analyse images in posts
`enable_video_understanding`	`bool`	`False`	Analyse video clips in posts
`model`	`str`	`grok-4-1-fast`	Grok model to use
`system_prompt`	`str`	`None`	Custom system prompt
`temperature`	`float`	`None`	Sampling temperature (0-2)

Returns: { text, citations?, model, usage }

Related MCP server: grok-mcp-server

Setup

Get an API key from console.x.ai

Copy the env template and add your key:

cp .env.example .env
# edit .env with your XAI_API_KEY

Install dependencies:
```
uv sync
```

Usage with Claude Code

Add to your Claude Code MCP config (~/.claude/settings.json or project .claude/settings.json):

{
  "mcpServers": {
    "grok": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/grok", "python", "server.py"]
    }
  }
}

Model Options

Model	Context	Input $/1M	Output $/1M	Notes
`grok-4-1-fast`	2M	$0.20	$0.50	Default — fast, cheap, great for search
`grok-4.1`	256K	$3.00	$15.00	Flagship reasoning
`grok-3`	128K	$2.00	$10.00	Stable general purpose

Live search costs an additional ~$0.025 per source retrieved.

This server cannot be installed

license - not found

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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