# Textrazor

```json
{
  "name": "Textrazor",
  "slug": "textrazor",
  "url": "https://composio.dev/toolkits/textrazor",
  "markdown_url": "https://composio.dev/toolkits/textrazor.md",
  "logo_url": "https://logos.composio.dev/api/textrazor",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-05-12T10:28:18.993Z"
}
```

![Textrazor logo](https://logos.composio.dev/api/textrazor)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Textrazor MCP or direct API to analyze documents, extract key entities, detect sentiment, and uncover relationships through natural language.

## Summary

Textrazor is a natural language processing API for extracting meaning, entities, and relationships from text. It enables powerful content analysis and sentiment detection for smarter applications.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 6

## Images

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

## Authentication

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

## Suggested Prompts

- Extract named entities from this news article
- Summarize key phrases in customer reviews
- Classify support tickets by topic automatically
- Analyze grammatical structure of this sentence

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `TEXTRAZOR_ACCOUNT_INFO` | Get Account Information | This tool retrieves comprehensive information about a TextRazor account, providing essential details about the account's status, usage, and limits. It returns an Account object containing properties such as the current subscription plan, concurrent request limits, and daily usage among others, making it crucial for monitoring API usage, managing requests, and ensuring compliance with subscription limits. |
| `TEXTRAZOR_CLASSIFY_TEXT` | Classify Text | This tool will classify text into predefined categories using TextRazor's classification capabilities. It takes input text, optional cleanup mode and language, and returns a list of relevant categories with their confidence scores from the analysis. The tool supports various built-in classifiers including: - textrazor_iab: IAB QAG segments - textrazor_iab_content_taxonomy_3.0: IAB Content Taxonomy v3.0 (2022) - textrazor_mediatopics_2023Q1: Latest IPTC Media Topics (March 2023) - And other versions of these taxonomies |
| `TEXTRAZOR_CUSTOM_CLASSIFIER_MANAGER` | Manage Custom Classifiers | This tool manages custom classifiers in TextRazor, allowing users to create, update, and manage custom classification categories. |
| `TEXTRAZOR_DICTIONARY_MANAGER` | Dictionary Manager | Manage custom entity dictionaries in TextRazor for enhanced named entity recognition. This tool enables you to create and manage dictionaries of domain-specific entities (e.g., product names, company names, technical terms) that TextRazor will recognize in text analysis. Operations include: - Creating new dictionaries with configurable matching rules - Listing all available dictionaries - Retrieving dictionary details and configuration - Deleting dictionaries - Adding, retrieving, and removing dictionary entries Note: Dictionaries created here can be used in text analysis by specifying their IDs in the 'entityDictionaries' parameter of TextRazor analysis requests. |
| `TEXTRAZOR_EXTRACT_ENTITIES` | Extract Named Entities from Text | Extract named entities (people, places, companies, etc.) from text using TextRazor's entity extraction API. The tool will identify and classify named entities within the provided text, returning detailed information about each entity including its type, confidence score, and relevance score. The API returns many entities by default; filter by `relevanceScore` and `confidenceScore` thresholds to retain only meaningful results. |
| `TEXTRAZOR_TEXT_RAZOR_ANALYZE_CONTENT` | Analyze Content with TextRazor | A comprehensive content analysis tool that combines multiple TextRazor extractors to perform a complete analysis of the input text. This action allows users to analyze text content with multiple extractors in a single API call. |

## 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 Textrazor Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Textrazor actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Extract named entities from this news article about climate change.'
  }]
)
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: 'Extract named entities from this news article about climate change.'
  }],
});
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 Textrazor tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Extract named entities from 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: 'Extract named entities from this article about climate change' }],
  stopWhen: stepCountIs( 5 )
});

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

## Why Use Composio?

### 1. AI Native Textrazor Integration

- Supports both Textrazor MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for extracting entities, relationships, and sentiment from your text data

### 2. Managed Auth

- Built-in API key handling for Textrazor with secure storage
- Central place to manage and revoke Textrazor credentials
- 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 Textrazor
- Scoped, least privilege access to Textrazor resources
- Full audit trail of agent actions to support review and compliance

## Use Textrazor with any AI Agent Framework

Choose a framework you want to connect Textrazor with:

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

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## Frequently Asked Questions

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

Yes, Textrazor 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)