# Textcortex

```json
{
  "name": "Textcortex",
  "slug": "textcortex",
  "url": "https://composio.dev/toolkits/textcortex",
  "markdown_url": "https://composio.dev/toolkits/textcortex.md",
  "logo_url": "https://logos.composio.dev/api/textcortex",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-05-12T10:28:15.116Z"
}
```

![Textcortex logo](https://logos.composio.dev/api/textcortex)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Textcortex MCP or direct API to generate articles, paraphrase documents, summarize text, and rewrite content through natural language.

## Summary

Textcortex is an AI-powered text generation platform that provides powerful language model APIs for developers. It enables rapid, high-quality content creation and paraphrasing at scale.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 7

## Images

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

## Authentication

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

## Suggested Prompts

- Summarize this research article for me
- Generate a follow-up email to a client
- Paraphrase this paragraph in simpler terms
- Draft a subject line for my marketing email

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `TEXTCORTEX_CREATE_PRODUCT_TITLE` | Create Product Title | Tool to generate catchy product titles for listings. Use when you need to create compelling titles for product listings or descriptions. |
| `TEXTCORTEX_CREATE_SOCIAL_MEDIA_POST` | Create Social Media Post | Tool to generate engaging social media posts for Twitter and LinkedIn. Use when you need to create platform-specific content with appropriate tone, length, and formatting. |
| `TEXTCORTEX_CREATE_VIDEO_DESCRIPTION` | Create Video Description | Tool to generate compelling video descriptions for YouTube or other platforms. Use when you need to create optimized descriptions that include context, keywords, and target audience information. |
| `TEXTCORTEX_GENERATE_CODE` | Generate Code | Tool to generate code for a given programming language. Use when you need to create code snippets, functions, or algorithms in specific programming languages. |
| `TEXTCORTEX_GENERATE_EMAIL` | Generate Email | Tool to generate email body and subject based on provided details. Use when you need to compose or personalize an email from a prompt. |
| `TEXTCORTEX_SUMMARIZE_TEXT` | Summarize Text | Tool to summarize text. Use when you need a concise summary of longer content. Use after confirming the full input text. |
| `TEXTCORTEX_TRANSLATE_TEXT` | Translate Text | Tool to translate text into another language. Use when you need to translate content between different languages. Supports 72+ languages with auto-detection capability. |

## 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 Textcortex Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Textcortex actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Summarize this product review in two sentences'
  }]
)
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: 'Summarize this product review in two sentences'
  }],
});
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 and Claude Agent SDK
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Create Tool Router Session

Initialize the Composio client and create a Tool Router session
```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' });

console.log("Creating Tool Router session...");
const { mcp } = await composio.create('your-user-id');
console.log(`Tool Router session created: ${mcp.url}`);
```

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

Use the MCP server with your AI agent
```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 Textcortex tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Summarize this article about climate change')
        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, stepCountIs } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: 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: 'Summarize this article about climate change' }],
  stopWhen: stepCountIs( 5 )
});

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

## Why Use Composio?

### 1. AI Native Textcortex Integration

- Supports both Textcortex MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for creating, paraphrasing, and summarizing content

### 2. Managed Auth

- Built-in API key handling with secure storage
- Central place to manage, scope, and revoke Textcortex 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 ran, when, and on whose behalf

### 4. Enterprise Grade Security

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

## Use Textcortex with any AI Agent Framework

Choose a framework you want to connect Textcortex with:

- [OpenAI Agents SDK](https://composio.dev/toolkits/textcortex/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/textcortex/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/textcortex/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/textcortex/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/textcortex/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/textcortex/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/textcortex/framework/hermes-agent)
- [Google ADK](https://composio.dev/toolkits/textcortex/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/textcortex/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/textcortex/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/textcortex/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/textcortex/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/textcortex/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/textcortex/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/textcortex/framework/autogen)

## Related Toolkits

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## Frequently Asked Questions

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

Yes, Textcortex 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)
