# How to integrate Lmnt MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Lmnt MCP with OpenAI Agents SDK",
  "toolkit": "Lmnt",
  "toolkit_slug": "lmnt",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/lmnt/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/lmnt/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:17:52.927Z"
}
```

## Introduction

This guide walks you through connecting Lmnt to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Lmnt agent that can generate a podcast intro in a new voice, list all available ai voices for selection, synthesize this script using your preferred voice through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Lmnt account through Composio's Lmnt MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Lmnt with

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

## TL;DR

Here's what you'll learn:
- Get and set up your OpenAI and Composio API keys
- Install the necessary dependencies
- Initialize Composio and create a Tool Router session for Lmnt
- Configure an AI agent that can use Lmnt as a tool
- Run a live chat session where you can ask the agent to perform Lmnt operations

## What is OpenAI Agents SDK?

The OpenAI Agents SDK is a lightweight framework for building AI agents that can use tools and maintain conversation state. It provides a simple interface for creating agents with hosted MCP tool support.
Key features include:
- Hosted MCP Tools: Connect to external services through hosted MCP endpoints
- SQLite Sessions: Persist conversation history across interactions
- Simple API: Clean interface with Agent, Runner, and tool configuration
- Streaming Support: Real-time response streaming for interactive applications

## What is the Lmnt MCP server, and what's possible with it?

The Lmnt MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Lmnt account. It provides structured and secure access to your voice and audio management features, so your agent can perform actions like creating voices, synthesizing speech, retrieving or updating voice profiles, and managing your audio assets on your behalf.
- Custom voice creation and management: Direct your agent to create new voice profiles or update existing ones for use in voice synthesis and transformation.
- Real-time speech synthesis: Instantly generate lifelike speech from text using your selected voice models for creative or technical projects.
- Voice library retrieval: Have your agent fetch and list all available voices in your Lmnt account, making it easy to explore or switch between options.
- Voice info review and deletion: Pull detailed information about any voice profile or let your agent remove unused voices to keep your workspace organized.
- Account insights and status checks: Allow your agent to retrieve your Lmnt account details, ensuring smooth integration and monitoring of usage or settings.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LMNT_CREATE_VOICE` | Create Voice | Creates a custom voice in LMNT by training on uploaded audio samples. The voice can then be used for text-to-speech synthesis. Returns the voice ID and metadata upon successful creation. The voice may be in 'training' state initially before becoming 'ready'. |
| `LMNT_DELETE_VOICE_INFO` | Delete Voice Info | Deletes a voice from your LMNT account. This operation permanently removes the voice and cancels any pending operations on it. This action cannot be undone. Only voices owned by you (owner='me') can be deleted; system voices cannot be deleted. Use case: Remove custom voices that are no longer needed to manage your voice library. |
| `LMNT_GENERATE_SPEECH_WITH_METADATA` | Generate Speech With Metadata | Generates speech from text and returns JSON with base64-encoded audio and optional word-level timing metadata. Use when you need the synthesis seed or word timestamps for subtitle synchronization. For lower latency without metadata, use the Synthesize Speech action instead. |
| `LMNT_GET_ACCOUNT` | Get Account | Retrieves account information including subscription plan details and current usage statistics. |
| `LMNT_GET_VOICE_INFO` | Get Voice Info | Gets metadata for a specific LMNT voice, including active status, supported languages, and plan availability. Useful for validating a voice ID before using it in synthesis requests. |
| `LMNT_GET_VOICES_LIST` | Get Voices List | Retrieves a list of available voices from LMNT. Returns both system-provided preset voices and any custom voices you have created. Use filters to narrow results by ownership (system vs custom) or starred status. Each voice includes details like ID, name, description, gender, state, and preview URL. |
| `LMNT_SYNTHESIZE_SPEECH` | Synthesize Speech | Synthesizes speech from text using LMNT's AI voices. Converts text (up to 5000 characters) into natural-sounding speech audio using a specified voice. Returns base64-encoded audio at `data.response_data.audio` — decode before saving or passing to other tools. Supports multiple audio formats and quality settings for different use cases. |
| `LMNT_UPDATE_VOICE` | Update Voice Info | Updates information about a specific voice in LMNT. You can update the name, description, gender, starred status, and unfreeze state of a voice. Note: Only user-owned voices (owner='me') can have their name, description, and gender updated. System voices can only be starred/unstarred. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Lmnt MCP server is an implementation of the Model Context Protocol that connects your AI agent to Lmnt. It provides structured and secure access so your agent can perform Lmnt operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before starting, make sure you have:
- Composio API Key and OpenAI API Key
- Primary know-how of OpenAI Agents SDK
- A live Lmnt project
- Some knowledge of Python or Typescript

### 1. Getting API Keys for OpenAI and Composio

OpenAI API Key
- Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider.
- Keep the API key safe.
Composio API Key
- Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs).
- Go to Settings and copy your API key.

### 2. Install dependencies

Install the Composio SDK and the OpenAI Agents SDK.
```python
pip install composio_openai_agents openai-agents python-dotenv
```

```typescript
npm install @composio/openai-agents @openai/agents dotenv
```

### 3. Set up environment variables

Create a .env file and add your OpenAI and Composio API keys.
```bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com
```

### 4. Import dependencies

What's happening:
- You're importing all necessary libraries.
- The Composio and OpenAIAgentsProvider classes are imported to connect your OpenAI agent to Composio tools like Lmnt.
```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';
```

### 5. Set up the Composio instance

No description provided.
```python
load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())
```

```typescript
dotenv.config();

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});
```

### 6. Create a Tool Router session

What is happening:
- You give the Tool Router the user id and the toolkits you want available. Here, it is only lmnt.
- The router checks the user's Lmnt connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Lmnt.
- This approach keeps things lightweight and lets the agent request Lmnt tools only when needed during the conversation.
```python
# Create a Lmnt Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["lmnt"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Lmnt
const session = await composio.create(userId as string, {
  toolkits: ['lmnt'],
});
const mcpUrl = session.mcp.url;
```

### 7. Configure the agent

No description provided.
```python
# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Lmnt. "
        "Help users perform Lmnt operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)
```

```typescript
// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Lmnt. Help users perform Lmnt operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
```

### 8. Start chat loop and handle conversation

No description provided.
```python
print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
// Keep conversation state across turns
const conversationSession = new OpenAIConversationsSession();

// Simple CLI
const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: 'You: ',
});

console.log('\nComposio Tool Router session created.');
console.log('\nChat started. Type your requests below.');
console.log("Commands: 'exit', 'quit', or 'q' to end\n");

try {
  const first = await run(agent, 'What can you help me with?', { session: conversationSession });
  console.log(`Assistant: ${first.finalOutput}\n`);
} catch (e) {
  console.error('Error:', e instanceof Error ? e.message : e, '\n');
}

rl.prompt();

rl.on('line', async (userInput) => {
  const text = userInput.trim();

  if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
    console.log('Goodbye!');
    rl.close();
    process.exit(0);
  }

  if (!text) {
    rl.prompt();
    return;
  }

  try {
    const result = await run(agent, text, { session: conversationSession });
    console.log(`\nAssistant: ${result.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();
});

rl.on('close', () => {
  console.log('\n👋 Session ended.');
  process.exit(0);
});
```

## Complete Code

```python
import asyncio
import os
from dotenv import load_dotenv

from composio import Composio
from composio_openai_agents import OpenAIAgentsProvider
from agents import Agent, Runner, HostedMCPTool, SQLiteSession

load_dotenv()

api_key = os.getenv("COMPOSIO_API_KEY")
user_id = os.getenv("USER_ID")

if not api_key:
    raise RuntimeError("COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key")

# Initialize Composio
composio = Composio(api_key=api_key, provider=OpenAIAgentsProvider())

# Create Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["lmnt"]
)
mcp_url = session.mcp.url

# Configure agent with MCP tool
agent = Agent(
    name="Assistant",
    model="gpt-5",
    instructions=(
        "You are a helpful assistant that can access Lmnt. "
        "Help users perform Lmnt operations through natural language."
    ),
    tools=[
        HostedMCPTool(
            tool_config={
                "type": "mcp",
                "server_label": "tool_router",
                "server_url": mcp_url,
                "headers": {"x-api-key": api_key},
                "require_approval": "never",
            }
        )
    ],
)

print("\nComposio Tool Router session created.")

chat_session = SQLiteSession("conversation_openai_toolrouter")

print("\nChat started. Type your requests below.")
print("Commands: 'exit', 'quit', or 'q' to end\n")

async def main():
    try:
        result = await Runner.run(
            agent,
            "What can you help me with?",
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")
    except Exception as e:
        print(f"Error: {e}\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "q"}:
            print("Goodbye!")
            break

        result = await Runner.run(
            agent,
            user_input,
            session=chat_session
        )
        print(f"Assistant: {result.final_output}\n")

asyncio.run(main())
```

```typescript
import 'dotenv/config';
import { Composio } from '@composio/core';
import { OpenAIAgentsProvider } from '@composio/openai-agents';
import { Agent, hostedMcpTool, run, OpenAIConversationsSession } from '@openai/agents';
import * as readline from 'readline';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.USER_ID;

if (!composioApiKey) {
  throw new Error('COMPOSIO_API_KEY is not set. Create a .env file with COMPOSIO_API_KEY=your_key');
}
if (!userId) {
  throw new Error('USER_ID is not set');
}

// Initialize Composio
const composio = new Composio({
  apiKey: composioApiKey,
  provider: new OpenAIAgentsProvider(),
});

async function main() {
  // Create Tool Router session
  const session = await composio.create(userId as string, {
    toolkits: ['lmnt'],
  });
  const mcpUrl = session.mcp.url;

  // Configure agent with MCP tool
  const agent = new Agent({
    name: 'Assistant',
    model: 'gpt-5',
    instructions:
      'You are a helpful assistant that can access Lmnt. Help users perform Lmnt operations through natural language.',
    tools: [
      hostedMcpTool({
        serverLabel: 'tool_router',
        serverUrl: mcpUrl,
        headers: { 'x-api-key': composioApiKey },
        requireApproval: 'never',
      }),
    ],
  });

  // Keep conversation state across turns
  const conversationSession = new OpenAIConversationsSession();

  // Simple CLI
  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: ',
  });

  console.log('\nComposio Tool Router session created.');
  console.log('\nChat started. Type your requests below.');
  console.log("Commands: 'exit', 'quit', or 'q' to end\n");

  try {
    const first = await run(agent, 'What can you help me with?', { session: conversationSession });
    console.log(`Assistant: ${first.finalOutput}\n`);
  } catch (e) {
    console.error('Error:', e instanceof Error ? e.message : e, '\n');
  }

  rl.prompt();

  rl.on('line', async (userInput) => {
    const text = userInput.trim();

    if (['exit', 'quit', 'q'].includes(text.toLowerCase())) {
      console.log('Goodbye!');
      rl.close();
      process.exit(0);
    }

    if (!text) {
      rl.prompt();
      return;
    }

    try {
      const result = await run(agent, text, { session: conversationSession });
      console.log(`\nAssistant: ${result.finalOutput}\n`);
    } catch (e) {
      console.error('Error:', e instanceof Error ? e.message : e, '\n');
    }

    rl.prompt();
  });

  rl.on('close', () => {
    console.log('\nSession ended.');
    process.exit(0);
  });
}

main().catch((err) => {
  console.error('Fatal error:', err);
  process.exit(1);
});
```

## Conclusion

This was a starter code for integrating Lmnt MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Lmnt.
Key features:
- Hosted MCP tool integration through Composio's Tool Router
- SQLite session persistence for conversation history
- Simple async chat loop for interactive testing
You can extend this by adding more toolkits, implementing custom business logic, or building a web interface around the agent.

## How to build Lmnt MCP Agent with another framework

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

## 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.
- [Composio search](https://composio.dev/toolkits/composio_search) - Composio search is a unified web search toolkit spanning travel, e-commerce, news, financial markets, images, and more. It lets you and your apps tap into up-to-date web data from a single, easy-to-integrate service.
- [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.
- [Ai ml api](https://composio.dev/toolkits/ai_ml_api) - Ai ml api is a suite of AI/ML models for natural language and image tasks. It provides fast, scalable access to advanced AI capabilities for your apps and workflows.
- [Aivoov](https://composio.dev/toolkits/aivoov) - Aivoov is an AI-powered text-to-speech platform offering 1,000+ voices in over 150 languages. Instantly turn written content into natural, human-like audio for any application.
- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [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.
- [Api labz](https://composio.dev/toolkits/api_labz) - Api labz is a platform offering a suite of AI-driven APIs and workflow tools. It helps developers automate tasks and build smarter, more efficient applications.
- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [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.
- [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.
- [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.
- [Botpress](https://composio.dev/toolkits/botpress) - Botpress is an open-source platform for building, deploying, and managing chatbots. It helps teams automate conversations and deliver rich, interactive messaging experiences.
- [Chatbotkit](https://composio.dev/toolkits/chatbotkit) - Chatbotkit is a platform for building and managing AI-powered chatbots using robust APIs and SDKs. It lets you easily add conversational AI to your apps for better user engagement.
- [Cody](https://composio.dev/toolkits/cody) - Cody is an AI assistant built for businesses, trained on your company's knowledge and data. It delivers instant answers and insights, tailored for your team.
- [Context7 MCP](https://composio.dev/toolkits/context7_mcp) - Context7 MCP delivers live, version-specific code docs and examples right from the source. It helps developers and AI agents instantly retrieve authoritative programming info—no more out-of-date docs.
- [Customgpt](https://composio.dev/toolkits/customgpt) - CustomGPT.ai lets you build and deploy chatbots tailored to your own data and business needs. Get precise and context-aware AI conversations without writing code.
- [Datarobot](https://composio.dev/toolkits/datarobot) - Datarobot is a machine learning platform that automates model development, deployment, and monitoring. It empowers organizations to quickly gain predictive insights from large datasets.
- [Deepgram](https://composio.dev/toolkits/deepgram) - Deepgram is an AI-powered speech recognition platform for accurate audio transcription and understanding. It enables fast, scalable speech-to-text with advanced audio intelligence features.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Lmnt MCP?

With a standalone Lmnt MCP server, the agents and LLMs can only access a fixed set of Lmnt tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Lmnt and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with OpenAI Agents SDK?

Yes, you can. OpenAI Agents SDK fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Lmnt tools.

### Can I manage the permissions and scopes for Lmnt while using Tool Router?

Yes, absolutely. You can configure which Lmnt scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Lmnt data and credentials are handled as safely as possible.

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