# How to connect Mintlify with ChatGPT

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

## Introduction

### How to connect Mintlify MCP with ChatGPT
[ChatGPT](https://chatgpt.com/) can take action across your apps and files, stay with a project for hours, and turn a goal into finished materials like sheets, slides, and docs, not just answers.
In this guide, I will explain the easiest and most secure way to connect your Mintlify account to ChatGPT via Composio Connect, so it can trigger mintlify production docs deployment, export mintlify search analytics this week, create preview for documentation updates through natural language commands without ever putting your account credentials at risk.

## Also integrate Mintlify with

- [Claude Cowork](https://composio.dev/toolkits/mintlify/framework/claude-cowork)
- [Grok Bot](https://composio.dev/toolkits/mintlify/framework/grok-bot)

## TL;DR

### Why use Composio over default connectors?
- Apps with read and write access. Default connectors mostly can read your data. Composio's Mintlify integration lets ChatGPT take actions like creating drafts, sending updates, labeling records, and more.
- 1,500+ SaaS toolkits out of the box. Composio gives you instant access to a vast catalog of pre-built connectors, from Gmail and Slack to Notion, Linear, and Salesforce.
- One MCP server for every app. Connect any of your applications on demand through a single endpoint, rather than juggling a separate server for each app.
- Smart, context-aware tool loading. Unlike traditional MCP servers that dump every available tool into the LLM context window, Composio searches for and loads only the tools relevant to the task at hand.
- Cross-app automation. Chain actions across multiple apps in a single run - fetch a thread, summarize it in Notion, and post highlights to Slack without leaving the conversation.

## Connect Mintlify to ChatGPT

### Prerequisites
- A ChatGPT account. We will use the [ChatGPT desktop app](https://openai.com/chatgpt/download/), and the steps are the same on the web.
- Access to the Mintlify workspace you want to connect.
- [Composio plugin](https://dashboard.composio.dev/login?utm_source=toolkits&utm_medium=framework_template&utm_campaign=chatgpt&utm_content=composio_connect&next=%2F~%2Forg%2Fconnect%2Fclients%2Fchatgpt).
Note: Composio connects through OAuth. You will be asked to sign in and approve specific permissions. Review the permission screen carefully if you are using a work account.
### Step-by-step: Connect Mintlify to ChatGPT
### 1. Install the Composio plugin
Click the button. ChatGPT opens the Composio plugin page. Click Install plugin.
[Install in ChatGPT](https://chatgpt.com/plugins/plugin_asdk_app_6a58503580c08191b78cc5bdaf4eba6e)
You can also find it inside ChatGPT: go to Settings, open Plugins, search the marketplace for Composio, and click Install plugin.
### 2. Authenticate
After you install, ChatGPT asks you to authenticate with Composio. Log in and click Allow access to authorize ChatGPT to use your Composio account.
### 3. Start using Composio
That is it. Composio tools are now available in ChatGPT. Type @Composio followed by your request, for example @Composio find unread Mintlify messages and summarize them, and it will run the actions you authorize. On first use it asks you to authorize Mintlify.
### Option 2: Add Composio as an MCP server
If you cannot use the plugin marketplace, add Composio as a custom MCP server instead.
### 1. Open the MCP settings
In ChatGPT, go to Settings and open the Plugins section. Inside the Plugins page, click the MCP tab.
### 2. Add the server
Click Add server. In the Name field enter Composio, for Type select Streamable HTTP, and in the URL field paste the Composio MCP server URL:

```bash
https://connect.composio.dev/mcp
```

## 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, ChatGPT can access the Mintlify MCP server via Composio to run actions that you authorize, directly in your workspace.

## Complete Code

None listed.

## How to build Mintlify MCP Agent with another framework

- [Claude Cowork](https://composio.dev/toolkits/mintlify/framework/claude-cowork)
- [Grok Bot](https://composio.dev/toolkits/mintlify/framework/grok-bot)

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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 ChatGPT?

Yes, you can. ChatGPT 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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