# NamSor

```json
{
  "name": "NamSor",
  "slug": "namsor",
  "url": "https://composio.dev/toolkits/namsor",
  "markdown_url": "https://composio.dev/toolkits/namsor.md",
  "logo_url": "https://logos.composio.dev/api/namsor",
  "categories": [
    "data & analytics"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:33:15.910Z"
}
```

![NamSor logo](https://logos.composio.dev/api/namsor)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with NamSor MCP or direct API to parse names, infer gender, classify origin, enrich ethnicity, and analyze cultural context through natural language.

## Summary

NamSor is a name intelligence API that parses and classifies personal names.
Use it to infer likely gender, origin, ethnicity, and cultural context.

## Categories

- data & analytics

## Toolkit Details

- Tools: 7

## Images

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

## Authentication

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

## Suggested Prompts

- Classify customer names by likely origin
- Infer gender from conference attendee names
- Parse full names into name parts

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `NAMSOR_CLASSIFY_DIASPORA` | Classify Name Diaspora | Infer likely diaspora or ethnicity labels for one or more names within a known country of residence. Accepts 1-100 names and uses 20 NamSor credits per name. |
| `NAMSOR_CLASSIFY_GENDER` | Classify Name Gender | Infer likely gender for one or more first-and-last names. Accepts 1-100 names and costs about 1 NamSor credit per name; results are probabilistic, not verified identity attributes. |
| `NAMSOR_CLASSIFY_ORIGIN` | Classify Name Origin | Infer likely countries and region of origin for one or more first-and-last names. Accepts 1-100 names and uses 10 NamSor credits per name. |
| `NAMSOR_CLASSIFY_PROPER_NOUN_TYPE` | Classify Proper-Noun Type | Classify one or more proper nouns as likely personal names, brand names, place names, or other NamSor types. Accepts 1-100 values and costs about 1 credit each. |
| `NAMSOR_CLASSIFY_RESIDENCE_COUNTRY` | Classify Residence Country | Infer likely countries and region of residence for one or more full personal names. Accepts 1-100 names and uses 10 NamSor credits per name; this differs from country of origin. |
| `NAMSOR_GET_ACCOUNT_USAGE` | Get Account Usage | Return the connected NamSor account's plan, quota, current billing-period usage, limits, and overage summary without exposing its API key. |
| `NAMSOR_PARSE_NAMES` | Parse Personal Names | Parse one or more full personal names into likely first-name and last-name components. Accepts 1-100 names and costs about 1 NamSor credit per name. |

## 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 NamSor Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute NamSor actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Parse and enrich the name Marie Curie to infer likely gender and country of origin'
  }]
)
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: 'Parse and enrich the name Marie Curie to infer likely gender and country of origin'
  }],
});
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 NamSor
```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 NamSor tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Infer the likely gender, origin, and cultural context for the name Aisha Khan')
        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: 'Infer the likely gender, origin, and cultural context for the name Aisha Khan'
  }],
  maxSteps: 5,
});

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

## Why Use Composio?

### 1. AI Native NamSor Integration

- Supports both NamSor MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable name parsing and enrichment
- Rich coverage for classifying gender, origin, ethnicity, and cultural context from names

### 2. Managed Auth

- Securely stores NamSor API keys so you don't hard-code secrets in agent code
- Central place to manage, scope, and revoke NamSor access
- Per user and per environment credentials for safer production rollouts

### 3. Agent Optimized Design

- NamSor tools are shaped so language models can pick the right action without guesswork
- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know which name enrichment task ran and when

### 4. Enterprise Grade Security

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

## Use NamSor with any AI Agent Framework

Choose a framework you want to connect NamSor with:

None listed.

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## Frequently Asked Questions

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

Yes, NamSor 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)