# How to connect Mintlify to Claude Cowork

```json
{
  "title": "How to connect Mintlify to Claude Cowork",
  "toolkit": "Mintlify",
  "toolkit_slug": "mintlify",
  "framework": "Claude Cowork",
  "framework_slug": "claude-cowork",
  "url": "https://composio.dev/toolkits/mintlify/framework/claude-cowork",
  "markdown_url": "https://composio.dev/toolkits/mintlify/framework/claude-cowork.md",
  "updated_at": "2026-07-28T11:13:31.886Z"
}
```

## Introduction

Cowork is Anthropic's AI agent for knowledge work. Think of it as Claude Code for everything else. It works autonomously with your computer, local files, and applications to accomplish complex tasks.
This guide walks you through the easiest and most secure way to connect your Mintlify account to Cowork via Composio Connect, enabling it to trigger Mintlify production docs deployment, export Mintlify search analytics this week, create preview for documentation updates, and more such actions on your behalf without compromising your account security.

## Also integrate Mintlify with

- [ChatGPT Work](https://composio.dev/toolkits/mintlify/framework/chatgpt)

## Connect Mintlify to Claude Cowork

### Connecting Mintlify to Claude Cowork
1. Open Customize
In Claude Desktop, click Customize in the left sidebar, then select Connectors and click the + icon at the top.
2. Add the Composio MCP server
Click Add custom connector and paste in the Composio MCP server URL:

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

## What is Claude Cowork?

Claude Cowork is Anthropic's agent for general knowledge work. It can use your computer, files, and connected applications to complete longer-running tasks across your work tools.
With Composio Connect, Cowork 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 so your agent can perform Mintlify operations on your behalf.

## 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

The Mintlify MCP server connects Claude Cowork to your Mintlify account through Composio. Once connected, Cowork can use the available Mintlify tools and triggers to complete tasks on your behalf.

## Complete Code

None listed.

## How to build Mintlify MCP Agent with another framework

- [ChatGPT Work](https://composio.dev/toolkits/mintlify/framework/chatgpt)

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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 Claude Cowork?

Yes, you can. Claude Cowork 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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