GrokMCP
<!-- mcp-name: io.github.AceDataCloud/mcp-grok -->
A Model Context Protocol (MCP) server for Grok (xAI) — chat/reasoning/vision and Grok Imagine video generation, powered by the AceDataCloud API.
Chat with Grok models, or generate short AI videos from a text prompt or a still image — directly from any MCP-compatible client (Claude Desktop, Claude Code, Cursor, etc.).
Features
- Chat / Reasoning / Vision — Talk to Grok 4 / Grok 3 family models, including vision (
grok-2-vision) and tool calling - Text to Video — Generate a video clip from a text description
- Image to Video — Animate a reference image into a video
- Async task tracking — Submit a job, poll for the result, single or batch
- stdio & HTTP transports — Local stdio for desktop clients, HTTP for remote hosting
Tools
| Tool | Description |
|---|---|
grok_chat_completions | Chat completion (reasoning / vision / tool calling) with Grok chat models. |
grok_text_to_video | Generate a video from a text prompt (model grok-imagine-video). |
grok_image_to_video | Generate a video from an input image (+ optional motion prompt). |
grok_get_task | Query the status/result of a single generation task. |
grok_get_tasks_batch | Query the status/result of multiple tasks at once. |
grok_list_models | List available models and their capabilities. |
grok_list_actions | List all tools and example workflows. |
grok_get_prompt_guide | Tips for writing effective video prompts. |
Models
Chat (grok_chat_completions)
| Model | Notes |
|---|---|
grok-4 | Flagship reasoning model |
grok-4-1-fast | Default — fast, capable |
grok-4-1-fast-non-reasoning | Fast, no reasoning trace |
grok-3 | Previous-gen flagship |
grok-3-mini | Smaller/cheaper; supports reasoning_effort |
grok-2-vision | Vision-capable (image understanding) |
Video
| Model | Text→Video | Image→Video | Notes |
|---|---|---|---|
grok-imagine-video | ✅ | ✅ | Default. Lower price. Up to 30s, duration-banded billing. |
grok-imagine-video-1.5-preview | ❌ | ✅ | Image-to-video only (requires image_url). Up to 15s, billed per second. |
Parameters
| Parameter | Applies to | Values |
|---|---|---|
prompt | both | Text description (required for text-to-video) |
image_url | image-to-video | Input image URL (required for -1.5-preview) |
reference_image_urls | image-to-video | Optional list of style/content reference images |
aspect_ratio | both | 1:1, 16:9 (default), 9:16, 4:3, 3:4, 3:2, 2:3 |
resolution | both | 480p (default), 720p, 1080p |
duration | both | grok-imagine-video: 1–30s; grok-imagine-video-1.5-preview: 1–15s (default 8) |
callback_url | both | Optional async webhook |
Installation
Via uvx (recommended)
uvx mcp-grok
Via pip
pip install mcp-grok
mcp-grok
Configuration
Set your AceDataCloud API token (get one at https://platform.acedata.cloud):
export ACEDATACLOUD_API_TOKEN=your_api_token_here
Claude Desktop / Claude Code
Add to your MCP config (claude_desktop_config.json or .mcp.json):
{
"mcpServers": {
"grok": {
"command": "uvx",
"args": ["mcp-grok"],
"env": {
"ACEDATACLOUD_API_TOKEN": "your_api_token_here"
}
}
}
}
Remote (HTTP)
A hosted Streamable HTTP endpoint is available at:
https://grok.mcp.acedata.cloud/mcp
Environment Variables
| Variable | Description | Default |
|---|---|---|
ACEDATACLOUD_API_TOKEN | API token (required) | — |
ACEDATACLOUD_API_BASE_URL | API base URL | https://api.acedata.cloud |
GROK_DEFAULT_MODEL | Default model | grok-imagine-video |
GROK_REQUEST_TIMEOUT | Request timeout (seconds) | 180 |
MCP_SERVER_NAME | MCP server name | grok |
MCP_TRANSPORT | Transport mode (stdio/http) | stdio |
LOG_LEVEL | Logging level | INFO |
Usage Notes
- Generation is asynchronous: the generation tools return a
task_idquickly. Poll withgrok_get_task(task_id)until the state issucceededand thevideo_urlis available. - Generation typically takes ~30 seconds to a few minutes.
- Keep
resolutionat480panddurationshort for faster, cheaper iterations.
Development
pip install -e ".[dev,test]"
pytest --cov=core --cov=tools
ruff check .
License
MIT — see LICENSE.