MCP Grok

MCP server for Grok Imagine AI video generation

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-grok": {
      "command": "uvx",
      "args": [
        "mcp-grok"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (8)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Grok.

grok_chat_completions

Chat completion (reasoning / vision / tool calling) with Grok chat models.

grok_text_to_video

Generate a video from a text prompt (any model except `grok-imagine-video-1.5:official`).

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.

Documentation Overview

GrokMCP

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 4.5 / Grok 4 / Grok 3 models, with image input 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 (any model except `grok-imagine-video-1.5:official`).
`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-4.5`	Default — latest flagship reasoning model
`grok-4`	Previous flagship reasoning model
`grok-3`	Earlier-generation model

Video

Model	Text→Video	Image→Video	Notes
`grok-imagine-video-1.5-fast:reverse`	✅	✅	Default. Fastest & cheapest. 6-30s, duration-banded billing.
`grok-imagine-video:reverse`	✅	✅	Standard. 1-15s, billed per output second.
`grok-imagine-video:official`	✅	✅	Official endpoint, higher fidelity. 1-15s, per second.
`grok-imagine-video-1.5:official`	❌	✅	Official image-to-video only (requires `image_url`). Up to 1080p, 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-1.5-fast:reverse`: `6`–`30`s; other models: `1`–`15`s (default `6`)
`callback_url`	both	Optional async webhook

Installation

Via uvx (recommended)

bash

uvx mcp-grok

Via pip

Terminal

pip install mcp-grok
mcp-grok

Configuration

Set your AceDataCloud API token (get one at https://platform.acedata.cloud):

server.ts

export ACEDATACLOUD_API_TOKEN=your_api_token_here

Claude Desktop / Claude Code

Add to your MCP config (claude_desktop_config.json or .mcp.json):

config.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:

Code

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-1.5-fast:reverse`
`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_id quickly. Poll with grok_get_task(task_id) until the state is succeeded and the video_url is available.
Generation typically takes ~30 seconds to a few minutes.
Keep resolution at 480p and duration short for faster, cheaper iterations.

Development

Terminal

pip install -e ".[dev,test]"
pytest --cov=core --cov=tools
ruff check .

Documentation

License

MIT — see LICENSE.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Multimedia Process View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

28d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Grok

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-grok": { "command": "uvx", "args": ["mcp-grok"] } }

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Technical Specs & Signals

CategoryMultimedia Process

11/12 checks healthy over the last 46d

49Quality signal: Fair · 49/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev · mcp-grok (PyPI)

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More in 🎥 Multimedia Process →Best MCP servers for Multimedia & Media Processing →Alternatives to MCP Grok →Install in Claude Desktop Install in Cursor Install in VS Code Setup guides for all 13 MCP clients

MCP Grok

MCP server for Grok Imagine AI video generation

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "mcp-grok": {
      "command": "uvx",
      "args": [
        "mcp-grok"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Capabilities & Tool Schemas (8)Self-reported

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Grok.

grok_chat_completions

Chat completion (reasoning / vision / tool calling) with Grok chat models.

grok_text_to_video

Generate a video from a text prompt (any model except `grok-imagine-video-1.5:official`).

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.

Documentation Overview

GrokMCP

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 4.5 / Grok 4 / Grok 3 models, with image input 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 (any model except `grok-imagine-video-1.5:official`).
`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-4.5`	Default — latest flagship reasoning model
`grok-4`	Previous flagship reasoning model
`grok-3`	Earlier-generation model

Video

Model	Text→Video	Image→Video	Notes
`grok-imagine-video-1.5-fast:reverse`	✅	✅	Default. Fastest & cheapest. 6-30s, duration-banded billing.
`grok-imagine-video:reverse`	✅	✅	Standard. 1-15s, billed per output second.
`grok-imagine-video:official`	✅	✅	Official endpoint, higher fidelity. 1-15s, per second.
`grok-imagine-video-1.5:official`	❌	✅	Official image-to-video only (requires `image_url`). Up to 1080p, 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-1.5-fast:reverse`: `6`–`30`s; other models: `1`–`15`s (default `6`)
`callback_url`	both	Optional async webhook

Installation

Via uvx (recommended)

bash

uvx mcp-grok

Via pip

Terminal

pip install mcp-grok
mcp-grok

Configuration

Set your AceDataCloud API token (get one at https://platform.acedata.cloud):

server.ts

export ACEDATACLOUD_API_TOKEN=your_api_token_here

Claude Desktop / Claude Code

Add to your MCP config (claude_desktop_config.json or .mcp.json):

config.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:

Code

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-1.5-fast:reverse`
`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_id quickly. Poll with grok_get_task(task_id) until the state is succeeded and the video_url is available.
Generation typically takes ~30 seconds to a few minutes.
Keep resolution at 480p and duration short for faster, cheaper iterations.

Development

Terminal

pip install -e ".[dev,test]"
pytest --cov=core --cov=tools
ruff check .

Documentation

License

MIT — see LICENSE.

Read the full README →View source on GitHub →

Related MCP Servers

View all in Multimedia Process View all alternatives

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars

Stargazers on the source repository.

Last commit

28d ago

Most recent push to the default branch.

Tools exposed

Callable tools this server registers over MCP.

Directory activity

1 views

Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Grok

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-grok": { "command": "uvx", "args": ["mcp-grok"] } }

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<a href="https://allmcps.com/mcp/mcp-grok"><img src="https://allmcps.com/api/badge/mcp-grok?style=directory" alt="MCP Grok on AllMCPs" /></a>

Technical Specs & Signals

CategoryMultimedia Process

11/12 checks healthy over the last 46d

49Quality signal: Fair · 49/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools23/30

Adoption & activity4/15

Community engagement0/10

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev · mcp-grok (PyPI)

★ Spotlight Slot

Feature Your MCP Server

Get maximum visibility for your server across our directory, search results, and detail pages.

Spotlight Your Server

Own this project?

Free dofollow backlink: add your website and place the AllMCPs badge on it — no claim needed. We detect it automatically and keep it verified as long as the badge stays live.

Claim & get free dofollow

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MCP Grok

Quick Install

Client Config & Setup

Documentation Overview

GrokMCP

Features

Tools

Models

Chat (grok_chat_completions)

Video

Parameters

Installation

Via uvx (recommended)

Via pip

Configuration

Claude Desktop / Claude Code

Remote (HTTP)

Environment Variables

Usage Notes

Development

Documentation

License

Related MCP Servers

Adoption & maintenance

Reviews

Frequently Asked Questions about MCP Grok

AllMCPs Directory Badge

Technical Specs & Signals

Supply-chain signal

Feature Your MCP Server

Own this project?

Share & Embed

Explore more

MCP Grok

Quick Install

Client Config & Setup

Documentation Overview

GrokMCP

Features

Tools

Models

Chat (grok_chat_completions)

Video

Parameters

Installation

Via uvx (recommended)

Via pip

Configuration

Claude Desktop / Claude Code

Remote (HTTP)

Environment Variables

Usage Notes

Development

Documentation

License

Related MCP Servers

Adoption & maintenance

Reviews

Frequently Asked Questions about MCP Grok

AllMCPs Directory Badge

Technical Specs & Signals

Supply-chain signal

Feature Your MCP Server

Own this project?

Share & Embed

Explore more

Chat (`grok_chat_completions`)

Chat (`grok_chat_completions`)