# How to integrate Triggercmd MCP with OpenAI Agents SDK

```json
{
  "title": "How to integrate Triggercmd MCP with OpenAI Agents SDK",
  "toolkit": "Triggercmd",
  "toolkit_slug": "triggercmd",
  "framework": "OpenAI Agents SDK",
  "framework_slug": "open-ai-agents-sdk",
  "url": "https://composio.dev/toolkits/triggercmd/framework/open-ai-agents-sdk",
  "markdown_url": "https://composio.dev/toolkits/triggercmd/framework/open-ai-agents-sdk.md",
  "updated_at": "2026-05-12T10:29:04.927Z"
}
```

## Introduction

This guide walks you through connecting Triggercmd to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Triggercmd agent that can list all computers linked to your account, show available commands for your desktop pc, run nightly backup script on home server through natural language commands.
This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Triggercmd account through Composio's Triggercmd MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Triggercmd with

- [Claude Agent SDK](https://composio.dev/toolkits/triggercmd/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/triggercmd/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/triggercmd/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/triggercmd/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/triggercmd/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/triggercmd/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/triggercmd/framework/cli)
- [Google ADK](https://composio.dev/toolkits/triggercmd/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/triggercmd/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/triggercmd/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/triggercmd/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/triggercmd/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/triggercmd/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 Triggercmd
- Configure an AI agent that can use Triggercmd as a tool
- Run a live chat session where you can ask the agent to perform Triggercmd 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 Triggercmd MCP server, and what's possible with it?

The Triggercmd MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Triggercmd account. It provides structured and secure access to your registered computers and custom commands, so your agent can list connected machines, discover available commands, and execute remote actions on your behalf.
- Remote command execution: Ask your agent to trigger any pre-configured command on any of your linked computers from anywhere, instantly.
- Computer management and discovery: Effortlessly list all computers registered under your Triggercmd account, so you always know what machines are available for automation.
- Command inventory browsing: Retrieve a full list of commands set up across all your connected devices, helping you decide what to automate next.
- Context-aware command selection: Let your agent browse available commands before execution, ensuring the right action runs on the right computer each time.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `TRIGGERCMD_LIST_COMMANDS_V2` | List TriggerCMD Commands V2 | Tool to list all available commands for the authenticated user. Use when you need to retrieve all commands configured on your computers. |
| `TRIGGERCMD_LIST_COMPUTERS` | List TriggerCMD Computers | Tool to list all computers associated with your TriggerCMD account. Use after authenticating with your token to retrieve connected machines. |
| `TRIGGERCMD_LIST_PANEL_BUTTONS` | List TriggerCMD Panel Buttons | Tool to retrieve all panel buttons configured in your TriggerCMD account. Use when you need to browse available panel buttons before triggering them. |
| `TRIGGERCMD_TRIGGER_COMMAND` | Trigger Command | Tool to trigger a specified command on a target computer. Use when you want to remotely execute a pre-configured command after authentication. Values for `computer` and `command` must exactly match identifiers returned by TRIGGERCMD_LIST_COMPUTERS and TRIGGERCMD_LIST_COMMANDS respectively; arbitrary names cause silent failures. |
| `TRIGGERCMD_TRIGGER_PANEL_BUTTON` | Trigger Panel Button | Tool to trigger a specific panel button. Panels allow grouping related commands for easier organization and triggering. Use when you want to execute a command that's part of a panel configuration. |

## Supported Triggers

None listed.

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

The Triggercmd MCP server is an implementation of the Model Context Protocol that connects your AI agent to Triggercmd. It provides structured and secure access so your agent can perform Triggercmd 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 Triggercmd 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 Triggercmd.
```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 triggercmd.
- The router checks the user's Triggercmd connection and prepares the MCP endpoint.
- The returned session.mcp.url is the MCP URL that your agent will use to access Triggercmd.
- This approach keeps things lightweight and lets the agent request Triggercmd tools only when needed during the conversation.
```python
# Create a Triggercmd Tool Router session
session = composio.create(
    user_id=user_id,
    toolkits=["triggercmd"]
)

mcp_url = session.mcp.url
```

```typescript
// Create Tool Router session for Triggercmd
const session = await composio.create(userId as string, {
  toolkits: ['triggercmd'],
});
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 Triggercmd. "
        "Help users perform Triggercmd 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 Triggercmd. Help users perform Triggercmd 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=["triggercmd"]
)
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 Triggercmd. "
        "Help users perform Triggercmd 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: ['triggercmd'],
  });
  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 Triggercmd. Help users perform Triggercmd 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 Triggercmd MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Triggercmd.
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 Triggercmd MCP Agent with another framework

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

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## Frequently Asked Questions

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

With a standalone Triggercmd MCP server, the agents and LLMs can only access a fixed set of Triggercmd tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Triggercmd 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 Triggercmd tools.

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

Yes, absolutely. You can configure which Triggercmd 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 Triggercmd data and credentials are handled as safely as possible.

---
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