Mcp Grok

io.github.AceDataCloud由 GitHub 账号 AceDataCloud 发布v2026.11.1.1更新于 Nov 1, 2026

MCP server for Grok Imagine AI video generation

发布方自己的服务:Surface

已验证Streamable HTTP可网页运行媒体与设计AI 与机器学习

概览

AI 生成的概览

Grok MCP 服务器,让助手通过 AceDataCloud API 与 xAI Grok 模型对话,并生成短视频。

可以做什么
  • 与 Grok 模型对话,支持推理、图像理解和工具调用
  • 根据文本提示生成视频,或将参考图片动画化为视频
  • 查询单个或批量视频生成任务的状态与结果
  • 列出可用的对话与视频模型、工具清单及提示词撰写指南
适用场景
适合希望助手用 Grok 模型处理文本或图像推理,或根据提示词、静态图片生成短视频,而不想自行对接 xAI API 的场景。
运行要求
可使用托管远程端点并通过 OAuth 登录,或从 mcp-grok 的 PyPI 包本地运行(uvx 或 pip,uvx 需 uv 在 PATH 中)。需要 AceDataCloud 账号;API 令牌通过 ACEDATACLOUD_API_TOKEN 环境变量或 Authorization Bearer 请求头提供。无论哪种方式都需要访问 AceDataCloud API 的网络。
安装前请注意
视频生成和对话调用会按 AceDataCloud 账户余额计费,正式使用前请查看当前定价与用量限制。API 令牌属于机密:应存放在凭据存储或环境变量中,不要写入提示词、共享配置或提交记录,也不要同时配置 OAuth 和固定 Authorization 请求头。提交生成任务和上传图片链接会把数据发送给第三方,内容审核也可能拒绝请求。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Grok,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.AceDataCloud%2Fmcp-grok/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "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.

来源:README.md,提交 68037ce

工具

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.

输入参数nseedstopuseraudiomodelstoretoolstop_pstreamlogprobsmessages必填另有 17 个

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.

无需输入参数。

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.

无需输入参数。

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.

无需输入参数。

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.

输入参数task_id必填

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.

输入参数task_ids必填

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.

输入参数modelprompt必填durationresolutionaspect_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.

输入参数modelpromptdurationimage_url必填resolutionaspect_ratiocallback_urlreference_image_urls

版本历史

12
  1. v2026.11.1.1最新Nov 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

评分

已满足适用检查项的 100%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

其他 Grok 集成