# Grok 4.7 MCP and API - Chat model by xAI | FlyMy.AI

> xAI Grok 4.7 is a reasoning model for coding and knowledge work, with a 500K-token context, image input and a private mode.

Page: https://flymy.ai/mcp/models/grok-4-7/

MCP / Models / Language models

# Grok 4.7 MCP: reasoning with 500K context, no API key

xAI Grok 4.7 is a reasoning model for coding and knowledge work, with a 500K-token context, image input and a private mode. Run it from Claude Code, Codex, Cursor or any MCP client through one FlyMy.AI MCP, or call its API.

[Use Grok 4.7](https://flymy.ai/mcp/models/grok-4-7/#start) [Inputs and price](https://flymy.ai/mcp/models/grok-4-7/#inputs)

No API key, $2.00 / $6.00 per 1M tokens, Chat model, xAI, Commercial use

$ YOUR NEXT RUN

Claude Code, Codex, Cursor, Any agent

## Use Grok 4.7 in your assistant

Paste this prompt into Claude Code, Codex, Cursor or any agent. It reads the guide and helps you connect.

```
Read https://flymy.ai/skill.md and https://flymy.ai/mcp/models/grok-4-7.md. Help me connect the FlyMy.AI MCP to this assistant, then run Grok 4.7 (flymyai/grok-4_7) for this task: Ask Grok 4.7: write unit tests for this Python module.
```

[Open FlyMy.AI](https://app.flymy.ai/new-agent) [Download brief](https://flymy.ai/mcp/models/grok-4-7.md)

## What Grok 4.7 does

Write and review code, plan multi-step work, draft documents and pull facts out of contracts and reports, or explain a screenshot or chart. Grok always reasons: reasoning_effort is low, medium, high (the default) or xhigh. system_prompt, temperature, top_p and max_tokens work as usual, and private_mode keeps the prompt and answer out of FlyMy.AI storage. It answers in text only, without tool calls.

## Grok 4.7 inputs

Every input of `flymyai/grok-4_7` as its live schema lists them. Returns `output` (string), `finish_reason` (string), `stream_details` (string).

| Input | Type, values and default |
|---|---|
| [#](https://flymy.ai/mcp/models/grok-4-7/#input-prompt) `prompt` | string required What to ask Grok |
| [#](https://flymy.ai/mcp/models/grok-4-7/#input-messages) `messages` | string optional Chat history as a JSON array of {role, content}; used instead of the prompt |
| [#](https://flymy.ai/mcp/models/grok-4-7/#input-system_prompt) `system_prompt` | string optional Instructions for the whole chat |
| [#](https://flymy.ai/mcp/models/grok-4-7/#input-reasoning_effort) `reasoning_effort` | string optional Allowed: low, medium, high, xhigh Default: `high` How hard Grok thinks before answering; it always reasons |
| [#](https://flymy.ai/mcp/models/grok-4-7/#input-max_tokens) `max_tokens` | integer optional Allowed: 1 to 128000 Most tokens to generate |
| [#](https://flymy.ai/mcp/models/grok-4-7/#input-temperature) `temperature` | number optional Allowed: 0 to 2 |
| [#](https://flymy.ai/mcp/models/grok-4-7/#input-top_p) `top_p` | number optional Allowed: 0 to 1 |
| [#](https://flymy.ai/mcp/models/grok-4-7/#input-private_mode) `private_mode` | boolean optional Default: `false` Keep the prompt and the answer out of FlyMyAI storage and logs (synchronous requests only) |

## Ask your agent

Requests to paste as they are, once the FlyMy.AI MCP is connected.

**“Ask Grok 4.7: write unit tests for this Python module.”** runs `flymyai/grok-4_7`

**“Compare these two product specs in a table with Grok 4.7.”** runs `flymyai/grok-4_7`

**“With Grok 4.7, rewrite this landing page paragraph to be shorter and clearer.”** runs `flymyai/grok-4_7`

## Grok 4.7 price

$2.00 per 1M input tokens, $6.00 per 1M output tokens, cached input $0.50 per 1M. Cached input is $0.50 per 1M tokens. Billed to your FlyMy.AI balance; no seats, no subscription and no minimum.

[See usage pricing →](https://flymy.ai/pricing/)

## Call Grok 4.7 from code

The same model, from an agent or from your own code. Keys stay in your FlyMy.AI account.

### From an agent, through the MCP

The agent calls `get_model_schema`, then `run_model` with:

```
{
  "endpoint_id": "flymyai/grok-4_7",
  "input": {
    "prompt": "Explain in two sentences what an MCP server is."
  }
}
```

### From your code, over HTTP

Form fields, not JSON; files go as uploads or public URLs. Text models answer on the streaming route.

```
curl -X POST https://api.flymy.ai/api/v1/flymyai/grok-4_7/predict/stream/ \
  -H "X-API-KEY: $FLYMYAI_API_KEY" \
  -F 'prompt=Explain in two sentences what an MCP server is.'
```

### With the OpenAI SDK

Grok 4.7 also answers the OpenAI Chat Completions protocol.

```
from openai import OpenAI

client = OpenAI(base_url="https://api.flymy.ai/api/v1/flymyai/grok-4_7/openai/v1", api_key="YOUR_FLYMYAI_KEY")
reply = client.chat.completions.create(
    model="flymyai/grok-4_7",
    messages=[{"role": "user", "content": "Explain in two sentences what an MCP server is."}],
)
print(reply.choices[0].message.content)
```

## Questions about Grok 4.7

**Do I need a xAI API key for Grok 4.7?**

No. Grok 4.7 runs on FlyMy.AI's account, so you need no xAI key or plan: sign in to FlyMy.AI once and each run is billed to your FlyMy.AI balance.

**How much does Grok 4.7 cost?**

$2.00 per 1M input tokens, $6.00 per 1M output tokens, cached input $0.50 per 1M. There is no subscription or minimum; the price comes from FlyMy.AI billing and was checked on 2026-11-09.

**How do I use Grok 4.7 in Claude Code, Codex or Cursor?**

Add the FlyMy.AI MCP with one command and sign in, then ask in plain words, for example: "Ask Grok 4.7: write unit tests for this Python module." Your agent reads the inputs with get_model_schema and runs flymyai/grok-4_7 with run_model.

**What does Grok 4.7 need as input?**

Grok 4.7 requires prompt; it also takes 7 optional inputs, each listed on this page with its allowed values and default.

**Can I call Grok 4.7 from my own code?**

Yes. Send form fields to https://api.flymy.ai/api/v1/flymyai/grok-4_7/predict/stream/ with your FlyMy.AI API key in the X-API-KEY header; it also answers the OpenAI Chat Completions protocol at https://api.flymy.ai/api/v1/flymyai/grok-4_7/openai/v1.

## More language models models

Chat and reasoning models for code, documents and agents, plus typed decisions for routing and triage.

### Kimi K3.1 Pro

Moonshot's flagship for agentic coding: tool calls, images and a 1M-token context.

Chat model / $2.00 / $10.00 per 1M tokens

Link: https://flymy.ai/mcp/models/kimi-k3-1-pro/

### DeepSeek V4.1 Flash

DeepSeek's quick reasoning model with tool calls, images and a priority tier.

Chat model / $0.30 / $1.20 per 1M tokens

Link: https://flymy.ai/mcp/models/deepseek-v4-1-flash/

### TypeSafe Jev 1.13

FlyMy.AI's decision model: route, label and gate with probabilities, not prose.

Typed decisions / $0.042 per 1M tokens

Link: https://flymy.ai/mcp/models/typesafe-jev-1-13/

### Gemini 3 Flash

The Gemini 3 generation at Flash speed, with thinking you can turn down.

Chat model / $0.50 / $3.00 per 1M tokens

Link: https://flymy.ai/mcp/models/google-gemini-3-flash-preview/

### Gemini 3.1 Flash Lite

The cheapest Gemini text model for extraction, labels and short drafts at scale.

Chat model / $0.25 / $1.50 per 1M tokens

Link: https://flymy.ai/mcp/models/google-gemini-31-flash-lite-preview/

### Gemini 3.1 Pro

Gemini 3.1 Pro for the hard problems: long documents, code and careful reasoning.

Chat model / $2.00 / $12.00 per 1M tokens

Link: https://flymy.ai/mcp/models/google-gemini-31-pro-preview/

## Go to the source

[Grok 4.7 in the playground →](https://app.flymy.ai/models/flymyai/grok-4_7), [Grok 4.7 guide in the docs →](https://docs.flymy.ai/guides/grok-4-7), [Model endpoints in the docs →](https://docs.flymy.ai/api/models-endpoints), [Language models guide →](https://docs.flymy.ai/guides/use-llms), [Every model on FlyMy.AI →](https://flymy.ai/mcp/models/), [Every MCP in the catalog →](https://flymy.ai/mcp/#catalog), [Usage pricing →](https://flymy.ai/pricing/)

From the FlyMy.AI model catalog of 2026-11-09: inputs from the model's live schema, prices from FlyMy.AI billing. Requests are examples to paste, not recorded runs.

---

For agents: the FlyMyAI operating guide (sign up, connect, run models, tools and agents) is https://flymy.ai/skill.md, and https://flymy.ai/llms.txt lists the other pages and the documentation.