Mintlify MCP for AI Agents

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Mintlify MCP or direct API to trigger docs deployments, create previews, run documentation automations, and export analytics through natural language.

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Mintlify is a documentation platform for building, hosting, and maintaining modern product docs. It helps teams ship polished docs faster with previews, deployments, automation, and analytics.

14 Tools

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Type what you want done — sign in and watch it run live in the Tool Router playground.

TOOL ROUTER PLAYGROUND
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TOOLS

Supported Tools

Every Mintlify action and event your agent gets out of the box.

Create Agent Job

Start a background documentation agent job from a natural-language prompt.

Get Agent Job

Retrieve the status and details (status, PR link, model, source repo/ref) of a docs agent job.

Get Assistant Caller Stats

Get assistant query counts broken down by caller type (web, api, other, total) for a date range.

Get Assistant Conversations

Export the AI assistant conversation history (question, answer, cited sources, resolution status) for a Mintlify project, optionally filtered by date.

Get Feedback

Export a project's user feedback (thumbs / contextual comments / agent feedback), optionally filtered by date, source and status.

Get Feedback By Page

Get feedback counts (thumbs up/down, code, total) aggregated per documentation page path for a date range.

Get Page Views

Export per-path and site-wide content view counts split by human vs AI traffic.

Get Search Queries

Export documentation search terms ordered by hit count (with CTR and top clicked page).

Get Unique Visitors

Export per-path and site-wide approximate distinct visitor counts split by human vs AI traffic.

Get Update Status

Get the status and details (queued / in_progress / success / failure, logs, commit, screenshot) of a triggered deployment update by its statusId.

Send Agent Message

Send a follow-up instruction to an existing, in-progress docs agent job (asynchronous).

Trigger Automation

Trigger a custom-schedule automation (workflow) to run immediately.

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).

Trigger Update

Queue a production deployment of the docs project from its configured branch.

SETUP GUIDE

Connect Mintlify MCP Tool with your Agent

1

Install Composio

typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
Install the Composio SDK for Python or TypeScript
2

Initialize Client and Create Tool Router Session

typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
Import and initialize the Composio client, then create a Tool Router session for Mintlify
3

Connect to AI Agent

typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Export Mintlify search analytics for the last 7 days'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
Use the MCP server with your AI agent (Anthropic Claude or Mastra)
SETUP GUIDE

Connect Mintlify API Tool with your Agent

1

Install Composio

typescript
npm install @composio/openai
Install the Composio SDK
2

Initialize Composio and Create Tool Router Session

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

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
Import and initialize Composio client, then create a Tool Router session
3

Execute Mintlify Tools via Tool Router with Your Agent

typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'Trigger a Mintlify preview deployment for the latest documentation changes'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
Get tools from Tool Router session and execute Mintlify actions with your Agent

Why Use Composio?

AI Native Mintlify Integration

  • Supports both Mintlify MCP and direct API based integrations
  • Structured, LLM-friendly schemas for reliable deployment, preview, automation, and analytics actions
  • Rich coverage for managing documentation workflows without writing bespoke Mintlify Admin API code

Managed Auth

  • Securely store and route Mintlify API keys without hard-coding secrets in your agent code
  • Use auth_configs.create(), connected_accounts.link(), and mcp.create() in lower-level setups when you need direct control
  • Manage Mintlify access per user and environment from one place

Agent Optimized Design

  • Mintlify tools are shaped so language models can pick the right action for docs deployments, previews, and analytics
  • Comprehensive execution logs help you see what the agent ran, when it ran, and which Mintlify workspace it touched

Enterprise Grade Security

  • Fine-grained RBAC so you control which agents and users can access Mintlify actions
  • Scoped, least privilege access for sensitive documentation operations
  • Full audit trail of agent-triggered Mintlify deployments, previews, automations, and exports
FRAMEWORKS

Use Mintlify with any AI Agent Framework

Choose a Framework you want to connect Mintlify with

FAQ

Frequently asked questions

Yes, Mintlify requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

Yes! Composio's Tool Router enables agents to use multiple toolkits. Learn more.

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. Learn more.

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

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