# Linguin AI

```json
{
  "name": "Linguin AI",
  "slug": "linguin_ai",
  "url": "https://composio.dev/toolkits/linguin_ai",
  "markdown_url": "https://composio.dev/toolkits/linguin_ai.md",
  "logo_url": "https://logos.composio.dev/api/linguin_ai",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-10-04T15:37:59.723Z"
}
```

![Linguin AI logo](https://logos.composio.dev/api/linguin_ai)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Linguin AI MCP or direct API to detect language, score profanity, flag high-risk content, and summarize flagged snippets through natural language.

## Summary

Linguin AI detects languages and scores English text for profanity through its direct v2 API.
Use it to quickly identify language and flag offensive content with simple API calls.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 6

## Images

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

## Authentication

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

## Suggested Prompts

- Detect languages in uploaded text batch
- Score profanity levels for customer reviews
- Flag messages with high profanity scores

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LINGUIN_AI_CHECK_PROFANITY` | Check Profanity | Score the likelihood of profanity in one English text. Linguin AI documents profanity detection as English-only, and each call consumes one daily detection. |
| `LINGUIN_AI_CHECK_PROFANITY_BATCH` | Check Profanity in Batch | Score profanity likelihood for multiple English texts in one request and return scores in input order. Profanity detection is English-only. Each text consumes one daily detection, and the request fails atomically if the account has insufficient quota. |
| `LINGUIN_AI_DETECT_LANGUAGE` | Detect Language | Identify probable languages for one text and return candidates with confidence scores. Consumes one daily detection. |
| `LINGUIN_AI_DETECT_LANGUAGES_BATCH` | Detect Languages in Batch | Identify probable languages for multiple texts in one request and return results in input order. Consumes one daily detection per text and fails atomically if quota is insufficient. |
| `LINGUIN_AI_GET_ACCOUNT_STATUS` | Get Account Status | Return today's detection usage, daily limit, and remaining detection quota for the connected account. |
| `LINGUIN_AI_LIST_SUPPORTED_LANGUAGES` | List Supported Languages | Return the complete map of language codes supported by language detection, including English and native names or aliases. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

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

Install the Composio SDK, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

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

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Linguin AI
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["linguin_ai"])
tools = session.tools()
```

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

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["linguin_ai"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Linguin AI tools with your agent

Send a request, execute the Linguin AI tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "Detect languages in uploaded text batch"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "Detect languages in uploaded text batch" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

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

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Linguin AI and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["linguin_ai"], mcp=True)
```

```typescript
import { Composio } from "@composio/core";

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["linguin_ai"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Linguin AI request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Linguin AI tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("Detect languages in uploaded text batch")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "Detect languages in uploaded text batch",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## Why Use Composio?

### 1. AI Native Linguin AI Integration

- Supports both Linguin AI MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Linguin AI data

### 2. Managed Auth

- Built-in OAuth handling with automatic token refresh and rotation
- Central place to manage, scope, and revoke Linguin 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 ran, when, and on whose behalf

### 4. Enterprise Grade Security

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

## Use Linguin AI with any AI Agent Framework

Choose a framework you want to connect Linguin AI with:

- [ChatGPT](https://composio.dev/toolkits/linguin_ai/framework/chatgpt)
- [Claude Cowork](https://composio.dev/toolkits/linguin_ai/framework/claude-cowork)
- [Hermes](https://composio.dev/toolkits/linguin_ai/framework/hermes-agent)
- [Atomic Agent](https://composio.dev/toolkits/linguin_ai/framework/atomic-agent)

## 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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- [Perplexityai](https://composio.dev/toolkits/perplexityai) - Perplexityai delivers natural, conversational AI models for generating human-like text. Instantly get context-aware, high-quality responses for chat, search, or complex workflows.
- [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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- [Artificial Analysis](https://composio.dev/toolkits/artificial_analysis) - Artificial Analysis is an independent benchmarking platform for AI models and API providers. Use it to compare model intelligence, coding, math, pricing, latency, throughput, and arena rankings.
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- [Astica ai](https://composio.dev/toolkits/astica_ai) - Astica ai provides APIs for computer vision, NLP, and voice synthesis. Integrate advanced AI features into your app with a single API key.
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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.
- [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale.
- [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 Linguin AI with Composio?

Yes, Linguin 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)
