# How to connect Mintlify to Grok Bot

```json
{
  "title": "How to connect Mintlify to Grok Bot",
  "toolkit": "Mintlify",
  "toolkit_slug": "mintlify",
  "framework": "Grok Bot",
  "framework_slug": "grok-bot",
  "url": "https://composio.dev/toolkits/mintlify/framework/grok-bot",
  "markdown_url": "https://composio.dev/toolkits/mintlify/framework/grok-bot.md",
  "updated_at": "2026-10-05T05:40:02.507Z"
}
```

## Introduction

Grok is xAI's assistant, and its bot builder lets you create a personal agent that holds context, runs skills, and connects to the apps you already use through plugins.
This guide explains how to connect Mintlify to a Grok bot using Composio Connect, which handles OAuth, token refresh, and reliability so you do not have to. You add Composio as a plugin, authenticate once, then ask your bot to work with Mintlify in plain language.

## Also integrate Mintlify with

- [ChatGPT](https://composio.dev/toolkits/mintlify/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/mintlify/framework/claude-cowork)

## TL;DR

Composio exposes 1,500+ apps to your Grok bot through a single connection, so you get:
- Connect to 1,500+ apps with on-demand tool loading, so you do not fill your context window with unnecessary tool definitions.
- Use programmatic tool calling through a remote workbench, letting the model write its own code to handle complex tool chaining. This reduces back-and-forth for frequent tool calls.
- Handle large tool responses outside the model context to keep conversations lean.

## Connect Mintlify to Grok Bot

### Connecting Mintlify to Grok Bot
Once Grok Bot is set up, you connect Mintlify entirely from its interface, and the whole flow takes under a minute.
### Set up Grok Bot
Get access. Grok Bot is included with Cursor Ultra, Cursor Premium Teams, and SuperGrok Heavy. Get the desktop app for macOS or Windows from [x.ai/bot](https://x.ai/bot) and sign in. An iPhone companion app is also available, and your bots sync across devices.
Create a bot. Pick a suggested role or define your own, then give it a short name, one primary job, and a short description of how it should work. Focused bots work best, because a clear role gives the bot more useful context over time.
### Connect Mintlify
### 1. Add the Composio plugin
Click the button. The Composio listing on x.ai opens and launches Grok Bot for you. If the app does not open on its own, click Add to Grok Bot.
[Add to Grok Bot](https://x.ai/bot/plugin/32661537)
Grok Bot opens the Composio plugin, showing its connector and skills. Click Add.
### 2. Authenticate
Go to the Installed section and click the Composio entry. You'll see its connector and skills listed.
Click Authenticate. You'll be taken to the Composio consent screen. Review the access it requests and click Authorize. Composio handles the OAuth handshake for you, so you never touch API keys or tokens.
### 3. Connect your Mintlify account
Back in the chat, ask your bot to connect to Mintlify or give it any Mintlify task.
For example, ask it to:
- "Trigger Mintlify production docs deployment"
- "Export Mintlify search analytics this week"
- "Create preview for documentation updates"
It will prompt you to authenticate and authorize access.
That's it. Composio's tools are now available in your Grok bot, and your Mintlify account is ready to use.

## What is Grok Bot?

Grok is xAI's assistant, available as a chat interface and a bot builder for creating personal agents that run skills and connect to external apps.
With Composio Connect, your Grok bot can securely access apps like Mintlify through MCP without you sharing account credentials directly with the agent.

## What is the Mintlify MCP server, and what's possible with it?

The Mintlify MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Mintlify account. It provides structured and secure access to your documentation operations and analytics, so your agent can trigger deployments and previews, run automations, direct documentation jobs, and analyze reader activity on your behalf.
- Documentation deployments and previews: Have your agent queue production updates, check deployment status and logs, or create and update previews for Git branches.
- AI documentation jobs: Direct your agent to start documentation work from a natural-language prompt, check its progress and pull request link, or send follow-up instructions while it runs.
- Scheduled workflow runs: Let the agent trigger your custom-schedule documentation automations whenever you need them.
- Reader and content analytics: Instruct your agent to analyze page views and unique visitors by documentation path, including human and AI traffic.
- Feedback, search, and assistant insights: Have your agent export reader feedback, review popular search terms and click-through rates, inspect assistant conversations, and compare assistant usage by caller type.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MINTLIFY_CREATE_AGENT_JOB` | Create Agent Job | Start a background documentation agent job from a natural-language prompt. The agent edits the connected docs repo and OPENS A PULL REQUEST if it changes files (DESTRUCTIVE; consumes credits). Returns an AgentJob; poll its id with MINTLIFY_GET_AGENT_JOB for progress. Rate limit: 100 jobs per project per hour. |
| `MINTLIFY_GET_AGENT_JOB` | Get Agent Job | Retrieve the status and details (status, PR link, model, source repo/ref) of a docs agent job. Poll this until status is completed, archived or failed. No pagination. |
| `MINTLIFY_GET_ASSISTANT_CALLER_STATS` | Get Assistant Caller Stats | Get assistant query counts broken down by caller type (web, api, other, total) for a date range. Returns a single aggregate object; no pagination. |
| `MINTLIFY_GET_ASSISTANT_CONVERSATIONS` | Get Assistant Conversations | Export the AI assistant conversation history (question, answer, cited sources, resolution status) for a Mintlify project, optionally filtered by date. Returns one page of conversations plus a cursor to fetch the next page. |
| `MINTLIFY_GET_FEEDBACK` | Get Feedback | Export a project's user feedback (thumbs / contextual comments / agent feedback), optionally filtered by date, source and status. Returns one page plus a cursor to fetch the next. |
| `MINTLIFY_GET_FEEDBACK_BY_PAGE` | Get Feedback By Page | Get feedback counts (thumbs up/down, code, total) aggregated per documentation page path for a date range. Single page of results — this endpoint exposes no pagination cursor, so only the first page is available. |
| `MINTLIFY_GET_PAGE_VIEWS` | Get Page Views | Export per-path and site-wide content view counts split by human vs AI traffic. Offset-paginated: returns one page of rows plus site-wide totals, the hasMore flag as has_more, and a next_offset to fetch the following page. |
| `MINTLIFY_GET_SEARCH_QUERIES` | Get Search Queries | Export documentation search terms ordered by hit count (with CTR and top clicked page). Returns one page plus a cursor to fetch the next; there is no more-flag, so stop paging once next_cursor is null. |
| `MINTLIFY_GET_UNIQUE_VISITORS` | Get Unique Visitors | Export per-path and site-wide approximate distinct visitor counts split by human vs AI traffic. Offset-paginated: returns one page plus a `has_more` flag and the effective `next_offset` to fetch the following page. |
| `MINTLIFY_GET_UPDATE_STATUS` | Get Update Status | Get the status and details (queued / in_progress / success / failure, logs, commit, screenshot) of a triggered deployment update by its statusId. Poll this with the statusId returned by MINTLIFY_TRIGGER_UPDATE. |
| `MINTLIFY_SEND_AGENT_MESSAGE` | Send Agent Message | Send a follow-up instruction to an existing, in-progress docs agent job (asynchronous). Use to refine or continue work on a job created by create_agent_job. Returns the updated AgentJob; poll get_agent_job for progress. No pagination. |
| `MINTLIFY_TRIGGER_AUTOMATION` | Trigger Automation | Trigger a custom-schedule automation (workflow) to run immediately. Returns the schemaId, instanceId and jobId of the launched run. Only custom-schedule automations are triggerable (others return 400). Requires a Mintlify plan that includes automations (otherwise the API returns 401 'Please upgrade to access this route.'). |
| `MINTLIFY_TRIGGER_PREVIEW` | Trigger Preview | Create or update a preview deployment of the docs project for a Git branch (redeploys if a preview already exists for that branch). Returns a statusId to poll with MINTLIFY_GET_UPDATE_STATUS and a previewUrl. Requires a Mintlify plan that includes preview deployments (plan gating may return 401 or 403). |
| `MINTLIFY_TRIGGER_UPDATE` | Trigger Update | Queue a production deployment of the docs project from its configured branch. Returns a statusId to poll with MINTLIFY_GET_UPDATE_STATUS. Requires a Mintlify plan that includes deployments (otherwise the API returns 401 'Please upgrade to access this route.'). |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

Once connected, your Grok bot can access the Mintlify MCP server through Composio to run the actions you authorize, using plain language in the chat.

## Complete Code

None listed.

## Conclusion

### Way Forward
Now that Mintlify is connected, extend your setup by connecting the other apps you already use every day, so your Grok bot can run true cross-app workflows end to end.
- Connect Calendar to turn threads into scheduled meetings automatically.
- Connect Slack or Teams to post summaries, approvals, and alerts where your team works.
- Connect Notion, Linear, Jira, or Asana to convert requests into tickets, tasks, and docs.
- Connect Drive, Dropbox, or OneDrive to fetch, file, and share attachments without manual steps.
Start with one workflow you do repeatedly, then keep adding apps as you find new handoffs. With everything behind a single connection, your bot can coordinate multiple tools safely and reliably in one conversation.

## How to build Mintlify MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/mintlify/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/mintlify/framework/claude-cowork)

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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Mintlify MCP?

With a standalone Mintlify MCP server, the agents and LLMs can only access a fixed set of Mintlify tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Mintlify and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Grok Bot?

Yes, you can. Grok Bot fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Mintlify tools.

### Can I manage the permissions and scopes for Mintlify while using Tool Router?

Yes, absolutely. You can configure which Mintlify scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Mintlify data and credentials are handled as safely as possible.

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