grok-web-sdk MCP

grok-web-sdk MCP

Enables AI agents to generate text, images, and videos via Grok's web UI using MCP tools (grok_chat, grok_generate_image, grok_generate_video) without an API key.

Category
Visit Server

README

grok-web-sdk

Drive your own Grok to generate content — text, images, video — from a local AI agent, the command line, HTTP, or Python. It automates the grok.com web UI using your logged-in session, so there's no API key and no per-token cost.

Runs locally by default: patchright drives a real Chrome on your machine (no Docker). A Browserless backend is available for remote/scale use.

flowchart LR
  Agent[Local AI agent] -->|MCP| M[grok mcp]
  You -->|CLI| C[grok chat / image / video]
  M --> B[behaviours]
  C --> B
  B --> Chrome[local Chrome<br/>your logged-in Grok]
  Chrome --> Out[text · images · video → files]

Install

With pipx (recommended — installs a global grok command in its own env):

pipx install grok-web-sdk         # once published to PyPI
# …or from a local checkout today:
pipx install ./grok-web-sdk
grok install-browser              # only if you don't have Google Chrome

From source (for development):

git clone <this repo> && cd grok-web-sdk
python3 -m venv .venv
.venv/bin/pip install -e ".[dev]"

Sign in once

grok login

A Chrome window opens — log into your Grok account, press Enter. The session persists in a local profile (~/.grok-web-sdk/profile), so you only do this once (repeat if it ever expires).

Use it

CLI

grok chat "explain quantum tunneling in one paragraph"
grok image "a red teapot on the moon" --aspect 16:9 --count 4 -o ./out
grok video "a paper plane looping" --res 720p --duration 10s -o ./out

Image/video files are downloaded to ./downloads (or -o <dir>) and the paths are printed.

MCP (local AI agents) — expose Grok as tools to Claude Desktop, Claude Code, Cline, Cursor, etc.

Claude Desktop (claude_desktop_config.json):

{
  "mcpServers": {
    "grok": { "command": "/absolute/path/to/.venv/bin/grok", "args": ["mcp"] }
  }
}

Claude Code:

claude mcp add grok -- /absolute/path/to/.venv/bin/grok mcp

Tools: grok_chat, grok_generate_image, grok_generate_video — image/video tools return the saved file paths.

HTTP API

grok serve --port 8000
# POST /chat/messages · POST /imagine/images · POST /imagine/videos · GET /health

Python

from grok_web_sdk import grok_context, send_message, generate_image, generate_video

with grok_context() as ctx:                      # local backend by default
    print(send_message(ctx, "hello").response)
    img = generate_image(ctx, "a red teapot", aspect_ratio="1:1", count="4")
    print(img.files)                             # downloaded paths

Capabilities

Surface Options
Chat prompt → reply (+ reasoning header)
Image quality Speed/Quality · aspect_ratio 2:3·3:2·1:1·9:16·16:9 · count Auto·4·8·12
Video resolution 480p·720p · duration 6s·10s · aspect_ratio

Remote backend (optional)

To run against a Browserless container instead of local Chrome:

from grok_web_sdk import grok_context, BrowserlessConfig
with grok_context(BrowserlessConfig(url="ws://host:3000", token="…")) as ctx:
    ...

From a datacenter IP you'll also need a residential proxy (proxy= on the config) — Cloudflare weighs IP reputation separately from browser fingerprint.

Tests

.venv/bin/pip install -e ".[dev]"
.venv/bin/pytest                                          # unit + contract, no browser; live tier auto-skips
GROK_PROFILE_DIR=spike/.profile .venv/bin/pytest -m live  # read-only live tier (needs a logged-in profile)

Notes

  • Your account, your rules. This automates the web UI with your session; that likely runs against xAI's ToS. Use a dedicated/throwaway account if you're cautious, and keep request rates sane.
  • Local-first & private. Everything runs on your machine; the session profile and downloads never leave it.
  • Architecture: core → pages (L1) → behaviours (L2) → api (MCP/HTTP/CLI), enforced by import-linter.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured