# Markup AI

```json
{
  "name": "Markup AI",
  "slug": "markup_ai",
  "url": "https://composio.dev/toolkits/markup_ai",
  "markdown_url": "https://composio.dev/toolkits/markup_ai.md",
  "logo_url": "https://logos.composio.dev/api/markup_ai",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:33:07.912Z"
}
```

![Markup AI logo](https://logos.composio.dev/api/markup_ai)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Markup AI MCP or direct API to evaluate content, apply brand terminology, check persona fit, and improve writing style through natural language.

## Summary

Markup AI is a content intelligence platform for brand voice, terminology, personas, and style rules.
Use it to evaluate and improve content so every draft stays clear, consistent, and on-brand.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 10

## Images

- Logo: https://logos.composio.dev/api/markup_ai

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Markup AI.
  - Setup:
    - Configure Api Key credentials for Markup AI.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Review copy against brand voice
- Improve landing page messaging style
- Check terminology in product announcement

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `MARKUP_AI_GET_AGENT` | Get Agent | Get one agent's metadata and complete runtime input and output JSON Schemas before executing it. |
| `MARKUP_AI_GET_ANALYSIS_PROFILE` | Get Analysis Profile | Get one persona, brand voice profile, style target, or style guide by ID, including detailed configuration needed to understand its effect on analysis. Style details can contain a large hierarchy of goals, groups, and guidelines. |
| `MARKUP_AI_GET_WORKFLOW` | Get Workflow | Get the current status and result of an asynchronous agent workflow by ID. |
| `MARKUP_AI_LIST_AGENT_CATEGORIES` | List Agent Categories | Return all agent categories available to the connected organization for discovery and agent-list filtering. |
| `MARKUP_AI_LIST_AGENTS` | List Agents | Discover Markup AI agents available to the connected organization, optionally filtered by category. Returns compact summaries for choosing an agent; use GET_AGENT for its full runtime schemas. |
| `MARKUP_AI_LIST_ANALYSIS_PROFILES` | List Analysis Profiles | List selectable persona, brand voice, style guide, style target, or content profile resources used to configure agent runs. |
| `MARKUP_AI_LIST_TERMINOLOGY_RESOURCES` | List Terminology Resources | List terminology term sets or domains with filters and cursor-controlled pagination. |
| `MARKUP_AI_LIST_WORKFLOWS` | List Workflows | List one cursor-controlled page of agent execution workflows, optionally filtering that page by status, stable agent name, or creation time. |
| `MARKUP_AI_RUN_AGENT` | Run Agent | Run one selected Markup AI agent against document text, synchronously or asynchronously. Discover the agent and inspect its schema first; execution may consume organization quota. The persona agent requires persona_id at runtime even when its advertised input schema marks only text as required. |
| `MARKUP_AI_SEARCH_TERMINOLOGY` | Search Terminology | Find organization terminology rules relevant to supplied text, optionally limited to selected domains. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```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');
```

#### Path 1, Step 3: Execute Markup AI Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Markup AI actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': "Evaluate this homepage hero copy against our Markup AI brand voice profile and suggest stronger on-brand wording: 'Ship faster with AI that does everything for you.'"
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: "Evaluate this homepage hero copy against our Markup AI brand voice profile and suggest stronger on-brand wording: 'Ship faster with AI that does everything for you.'"
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Markup AI
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```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}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Markup AI tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Review this product launch email with Markup AI and suggest edits for brand voice, approved terminology, and persona fit.")
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```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: 'Review this product launch email with Markup AI and suggest edits for brand voice, approved terminology, and persona fit.'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Markup AI Integration

- Supports both Markup AI MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable content review and rewrite workflows
- Rich coverage for brand voice checks, terminology review, persona alignment, and style evaluation

### 2. Managed Auth

- Secure API key handling so your Markup AI credentials never live in agent prompts or app code
- Central place to manage, scope, and revoke Markup AI access
- Per user and per environment credentials instead of hard-coded keys

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what content was checked, when, and on whose behalf

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Markup AI
- Scoped, least privilege access to Markup AI content and configuration resources
- Full audit trail of agent actions to support review and compliance

## Use Markup AI with any AI Agent Framework

Choose a framework you want to connect Markup AI with:

None listed.

## Related Toolkits

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
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- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
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- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
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- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
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- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.

## Frequently Asked Questions

### Do I need my own developer credentials to use Markup AI with Composio?

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

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

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

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)