# Grok

```json
{
  "name": "Grok",
  "slug": "grok",
  "url": "https://composio.dev/toolkits/grok",
  "markdown_url": "https://composio.dev/toolkits/grok.md",
  "logo_url": "https://logos.composio.dev/api/grok",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-04T14:55:51.215Z"
}
```

![Grok logo](https://logos.composio.dev/api/grok)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Grok MCP or direct API to generate text, analyze images, create embeddings, run search, and process files through natural language.

## Summary

Grok is xAI's API platform for text, image, video, embeddings, files, search, and voice.
Use it to add fast multimodal AI capabilities from xAI to apps and workflows.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 8

## Images

- Logo: https://logos.composio.dev/api/grok

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Grok.
  - Setup:
    - Configure Api Key credentials for Grok.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Generate launch copy with Grok models
- Analyze product screenshots using Grok vision
- Create Grok embeddings for support articles

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `GROK_CREATE_EMBEDDINGS` | Create Embeddings | Create vector embeddings for one or more text inputs with an xAI embedding model. |
| `GROK_CREATE_RESPONSE` | Create Response | Generate a bounded, non-streaming Grok response from text or structured multimodal input, with optional reasoning, search, and function or web-search tools. Responses are ephemeral by default; set store=true to retain one for 30 days. |
| `GROK_GENERATE_IMAGE` | Generate Image | Generate one or more images from a text prompt with an xAI image-generation model. |
| `GROK_GENERATE_VIDEO` | Generate Video | Start asynchronous xAI video generation from a text prompt, optionally conditioned on an image, and return a request ID for status checks. |
| `GROK_GET_API_KEY_INFO` | Get API Key Info | Inspect the connected xAI API key's identity, wildcard or granular ACLs, and key or team blocking state. |
| `GROK_GET_CURRENT_ACCOUNT` | Get Current Account | Verify the connected xAI credential and return the caller, team, zero-data-retention status, and key blocking state. |
| `GROK_GET_VIDEO` | Get Video | Check an asynchronous xAI video request. Returns pending while generation is in progress, the video and usage when done, or the structured generation error when failed. |
| `GROK_LIST_MODELS` | List Models | List models available to the connected xAI key, including model IDs and published pricing metadata needed to choose a model for other tools. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

```typescript
npm install @composio/core @composio/openai openai
```

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Grok
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["grok"])
tools = session.tools()
```

```typescript
import OpenAI from "openai";
import { Composio } from "@composio/core";
import { OpenAIResponsesProvider } from "@composio/openai";

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["grok"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Grok tools with your agent

Send a request, execute the Grok tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Use Grok to generate a concise product launch brief for a new AI coding assistant"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Use Grok to generate a concise product launch brief for a new AI coding assistant" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/mcp @ai-sdk/openai
```

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Grok and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["grok"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["grok"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Grok request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Grok tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Use Grok to generate a concise product launch brief for a new AI coding assistant")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Use Grok to generate a concise product launch brief for a new AI coding assistant",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native Grok Integration

- Supports both Grok MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable text, vision, embedding, search, and voice tool execution
- Rich coverage for building agents that can call xAI capabilities without bespoke integration code

### 2. Managed API Key Auth

- Securely store Grok API keys instead of hard-coding them into agent code
- Central place to manage, scope, and revoke Grok access across users and environments
- Composio handles credential storage and API request handling so your agents can focus on the task

### 3. Agent Optimized Design

- Grok tools are exposed with clear schemas that language models can understand and call reliably
- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Grok
- Scoped, least privilege access to Grok resources and API capabilities
- Full audit trail of agent actions to support review, debugging, and compliance

## Use Grok with any AI Agent Framework

Choose a framework you want to connect Grok with:

None listed.

## Related Toolkits

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## Frequently Asked Questions

### Do I need my own developer credentials to use Grok with Composio?

Yes, Grok requires you to configure your own API key. Once set up, Composio handles secure credential storage and API request handling for you. You can create an auth config with auth_configs.create(), connect a user with connected_accounts.link(), and expose Grok to agents through mcp.create() or a Tool Router session.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)