Mcp Grok

io.github.AceDataCloudPublished by GitHub account AceDataCloudv2026.11.1.1Updated Nov 1, 2026

MCP server for Grok Imagine AI video generation

The publisher's own server: Surface

VerifiedStreamable HTTPWeb executableMedia & DesignAI & ML

Overview

AI-generated overview

Grok MCP server that lets an assistant chat with xAI Grok models and generate short AI videos via the AceDataCloud API.

What you can do
  • Chat with Grok models for reasoning, vision and tool calling
  • Generate videos from a text prompt or animate a reference image
  • Check the status and results of single or batched video generation tasks
  • List available chat and video models, tools and prompt-writing guidance
When to use it
Useful when you want an assistant to reason over text or images with Grok models, or to produce short AI video clips from prompts or still images without wiring up the xAI API yourself.
Requirements
Either the hosted remote endpoint with OAuth sign-in, or a local process installed from the mcp-grok PyPI package (uvx or pip, with uv on PATH for uvx). An AceDataCloud account is required; the ACEDATACLOUD_API_TOKEN environment variable or an Authorization Bearer header supplies the API token. Network access to the AceDataCloud API is needed in every route.
Before you install
Video generation and chat calls are metered against an AceDataCloud account balance, so review current pricing and usage limits before real operations. The API token is a secret: keep it in a credential store or environment variable, never in prompts, shared configs or commits, and avoid configuring both OAuth and a fixed Authorization header. Submitting generations and uploading image URLs sends data to a third party, and content moderation can reject requests.

Installation

In SourceWeft

  1. Open Mcp Grok in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.AceDataCloud%2Fmcp-grok/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "grok": {
      "type": "http",
      "url": "https://grok.mcp.acedata.cloud/mcp"
    }
  }
}

README

GrokMCP

[PyPI version] [Python] [License: MIT]

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

ToolDescription
grok_chat_completionsChat completion (reasoning / vision / tool calling) with Grok chat models.
grok_text_to_videoGenerate a video from a text prompt (any model except grok-imagine-video-1.5:official).
grok_image_to_videoGenerate a video from an input image (+ optional motion prompt).
grok_get_taskQuery the status/result of a single generation task.
grok_get_tasks_batchQuery the status/result of multiple tasks at once.
grok_list_modelsList available models and their capabilities.
grok_list_actionsList all tools and example workflows.
grok_get_prompt_guideTips for writing effective video prompts.

Models

Chat (grok_chat_completions)

ModelNotes
grok-4.5Default — latest flagship reasoning model
grok-4Previous flagship reasoning model
grok-3Earlier-generation model

Video

ModelText→VideoImage→VideoNotes
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

ParameterApplies toValues
promptbothText description (required for text-to-video)
image_urlimage-to-videoInput image URL (required for -1.5-preview)
reference_image_urlsimage-to-videoOptional list of style/content reference images
aspect_ratioboth1:1, 16:9 (default), 9:16, 4:3, 3:4, 3:2, 2:3
resolutionboth480p (default), 720p, 1080p
durationbothgrok-imagine-video-1.5-fast:reverse: 6–30s; other models: 1–15s (default 6)
callback_urlbothOptional async webhook

Connect: hosted OAuth, API token, or local stdio

The hosted endpoint is https://grok.mcp.acedata.cloud/mcp. Choose one route for the MCP client:

RouteWhen to use itCredential setup
Hosted OAuthThe client supports remote MCP OAuthAdd only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration.
Hosted API tokenThe client cannot finish OAuth, or you need an explicit integration credentialSend an AceDataCloud API token in the Authorization: Bearer … header. Keep it in a local secret store or environment variable.
Local stdioThe client runs a local MCP processInstall mcp-grok and pass ACEDATACLOUD_API_TOKEN to that process. It still calls the AceDataCloud API.

The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). DCR registers the client application; it is not an API key. OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review current service documentation and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed Authorization header for the same server.

Hosted OAuth examples

  • Claude and Claude Desktop chat: Add a remote custom connector in Customize → Connectors → Add custom connector, enter https://grok.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local claude_desktop_config.json is a separate setup. Claude connector guide.
  • Claude Code: claude mcp add --transport http --scope user grok https://grok.mcp.acedata.cloud/mcp, then claude mcp login grok. Check /mcp. Claude Code MCP guide.
  • Cursor: Add a remote server with only https://grok.mcp.acedata.cloud/mcp. For a project, merge the entry below into <project>/.cursor/mcp.json; for personal use, use ~/.cursor/mcp.json. Cursor MCP guide.
  • VS Code / Copilot: Run MCP: Add Server, select HTTP, enter https://grok.mcp.acedata.cloud/mcp, then finish the browser sign-in. New portable workspace configs use <project>/.mcp.json; the VS Code-specific format below uses <project>/.vscode/mcp.json or the user profile. Check MCP: List Servers. VS Code MCP setup.
  • Codex: codex mcp add grok --url https://grok.mcp.acedata.cloud/mcp, then codex mcp login grok. Its user settings are in ~/.codex/config.toml. Official Codex MCP guide.

Cursor project config (OAuth):

json
{  "mcpServers": {    "grok": {"url": "https://grok.mcp.acedata.cloud/mcp"}  }}

VS Code-specific workspace config (OAuth):

json
{  "servers": {    "grok": {"type": "http", "url": "https://grok.mcp.acedata.cloud/mcp"}  }}

Hosted API token

  1. Open Ace Data Cloud → Applications. Sign in, or register an account first.
  2. Find General application. If it has not been created, choose Initialize General Application. A general key can use the services available to your account; a dedicated application's key is limited to its service. Check the required service/model access and current pricing.
  3. Copy the API Key from the application card, or open Keys / Manage Keys → Create to create a separate key for this integration. Give it a recognizable name so you can revoke or rotate it independently.
  4. When creating a key, review Expiration Time, Set Usage Limitation, and Allowed APIs. Enable only the restrictions you need, allow the operations you will call, then click Create and copy the token from the key list. Task lookup does not grant permission to submit a generation. Confirm the application's balance can cover your first request; any trial allowance is whatever your account currently displays.
  5. Copy only the token value, without quotation marks, spaces, or Bearer . An API Key / API Token field expects this raw value; only a manually configured HTTP Authorization header needs the Bearer prefix. A platform-... account-management token cannot replace a generation API key.

[Copy an application API key or open Manage Keys]

[Create a separately named key with optional restrictions]

Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.

A fixed Bearer header bypasses OAuth. If the header is invalid, remove it before trying browser sign-in; keep the saved credential private.

For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:

bash
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'claude mcp add --transport http --scope user grok https://grok.mcp.acedata.cloud/mcp \  --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"

For a Claude Code project config, put a variable reference in <project>/.mcp.json and set that variable in the environment that launches Claude Code:

json
{  "mcpServers": {    "grok": {      "type": "http",      "url": "https://grok.mcp.acedata.cloud/mcp",      "headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"}    }  }}

Cursor uses a different environment-variable syntax in ~/.cursor/mcp.json or an uncommitted project config:

json
{  "mcpServers": {    "grok": {      "url": "https://grok.mcp.acedata.cloud/mcp",      "headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"}    }  }}

In VS Code, run MCP: Open User Configuration and merge this server plus its masked input; ${input:...} is for VS Code's user/workspace format and is not portable to the Agent Host .mcp.json format:

json
{  "inputs": [    {"id": "acedata-grok-token", "type": "promptString", "description": "AceDataCloud API token", "password": true}  ],  "servers": {    "grok": {      "type": "http",      "url": "https://grok.mcp.acedata.cloud/mcp",      "headers": {"Authorization": "Bearer ${input:acedata-grok-token}"}    }  }}

For Cline, use its MCP configuration UI or CLI file ~/.cline/data/settings/cline_mcp_settings.json; its remote transport value is streamableHttp. For JetBrains AI Assistant, add a remote URL from Settings → Tools → AI Assistant → Model Context Protocol (MCP). For Zed, use a context_servers entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their current UI rather than copying another client's JSON. Cline · JetBrains · Zed.

Local stdio

Install the package and give the local process an API token:

bash
python -m pip install mcp-grokexport ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'mcp-grok

For Claude Desktop local MCP, merge this entry into the file opened by its developer settings (~/Library/Application Support/Claude/claude_desktop_config.json on macOS). uvx requires uv on PATH:

json
{  "mcpServers": {    "grok": {      "command": "uvx",      "args": ["mcp-grok"],      "env": {"ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"}    }  }}

Keep this user-level file private. Self-hosted HTTP uses mcp-grok --transport http --port 8000; expose it only with suitable network and TLS controls. Local execution still calls the AceDataCloud API.

Check before using the service

  1. https://grok.mcp.acedata.cloud/health returning {"status":"ok"} checks endpoint reachability only.
  2. Confirm that the MCP client loads tools. grok_list_models is a reference tool; it does not verify downstream API access or balance.
  3. If you need a full API check, call grok_chat_completions with your own valid input after reviewing current service documentation and displayed pricing. If the result contains a task ID, call grok_get_task on that same ID until terminal success or failure. Do not resubmit the operation just to check progress.

For 401, check which auth route the client used and whether the token or OAuth session is valid. A 403 may mean an account permission or content moderation failure; read the returned error. Insufficient balance and downstream service failures need their own diagnosis. A listed tool or submitted task does not prove a successful result.

Development

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

Documentation

Documentation

License

MIT — see LICENSE.

Chat response mode

Chat tools return one complete JSON response. Omit stream or pass false. stream: true is rejected locally before an API request is sent. For native SSE streaming, use the HTTP API directly.

Source: README.md at commit 68037ce

Tools

8

grok_chat_completions

Create a Grok (xAI) chat completion via the AceDataCloud Grok API. Sends messages to a Grok chat model and returns the generated response in the OpenAI-compatible chat completion format. Use this when: - You want to chat/reason with a Grok model (grok-4 / grok-3 family) - You need vision/image understanding - You need tool/function calling with Grok For generating videos, use grok_text_to_video / grok_image_to_video instead. Returns: JSON response containing the chat completion result.

Parametersnseedstopuseraudiomodelstoretoolstop_pstreamlogprobsmessagesrequired+17 more

grok_list_models

List all available Grok models (chat + video) and their capabilities. Shows the chat models and the Grok Imagine video models with their features and input rules. Use this to understand which model to choose. Returns: Tables of all models with their capabilities.

Takes no parameters.

grok_list_actions

List all available Grok Imagine tools and workflows. Reference guide for what each tool does and how they fit together. Returns: Categorized list of all tools and example workflows.

Takes no parameters.

grok_get_prompt_guide

Get guidance on writing effective prompts for Grok Imagine video generation. Shows how to structure prompts for best video generation results. Returns: Complete guide with prompt structure, examples, and tips.

Takes no parameters.

grok_get_task

Query the status and result of a video generation task. Use this to check if a generation is complete and retrieve the resulting video URLs and metadata. Use this when: - You want to check if a generation has completed - You need to retrieve video URLs from a previous generation - You want to get the full details of a generated video Task states: - 'pending'/'processing': Generation is still in progress - 'succeeded': Generation finished successfully - 'failed': Generation failed (check error message) Returns: Task status and generated video information including URLs and state.

Parameterstask_idrequired

grok_get_tasks_batch

Query multiple video generation tasks at once. Efficiently check the status of multiple tasks in a single request. More efficient than calling grok_get_task multiple times. Use this when: - You have multiple pending generations to check - You want to get status of several videos at once - You're tracking a batch of generations Returns: Status and video information for all queried tasks.

Parameterstask_idsrequired

grok_text_to_video

Generate AI video from a text prompt using Grok Imagine. This creates a video from scratch based on your text description. Grok Imagine will interpret your prompt and generate a matching video clip. Use this when: - You want to create a video from a text description - You don't have a reference image to use - You want maximum creative freedom Only the 'grok-imagine-video-1.5-fast:reverse', 'grok-imagine-video:reverse', and 'grok-imagine-video:official' models support text-to-video. For generating a video from a reference image, use grok_image_to_video instead. Returns: Task ID and generated video information including URLs and state.

Parametersmodelpromptrequireddurationresolutionaspect_ratiocallback_url

grok_image_to_video

Generate AI video from a reference image using Grok Imagine. This animates your input image into a video clip. Provide a prompt to describe the motion you want, and optional reference images to guide style. Use this when: - You have a specific image you want to animate - You want consistent visual style from a reference - You want to turn a still photo into a short video For video generation from text only, use grok_text_to_video instead. Returns: Task ID and generated video information including URLs and state.

Parametersmodelpromptdurationimage_urlrequiredresolutionaspect_ratiocallback_urlreference_image_urls

Version history

12
  1. v2026.11.1.1LatestNov 1, 2026
  2. v2026.10.18.4Oct 18, 2026
  3. v2026.10.18.0Oct 18, 2026
  4. v2026.10.12.1Oct 12, 2026
  5. v2026.10.8.0Oct 8, 2026
  6. v2026.10.7.1Oct 7, 2026
  7. v2026.10.6.0Oct 6, 2026
  8. v2026.10.4.2Oct 4, 2026
  9. v2026.10.4.0Oct 4, 2026
  10. v2026.9.30.0Sep 30, 2026
  11. v2026.9.29.0Sep 29, 2026
  12. v2026.8.28.0Sep 16, 2026

Score

100% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts
  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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