How to integrate Synthflow ai MCP with OpenAI Agents SDK

This guide walks you through connecting Synthflow ai to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Synthflow ai agent that can create a new ai assistant for customer support, list all current voice assistants in your account, fetch details for team 'sales outreach' through natural language commands. This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Synthflow ai account through Composio's Synthflow ai MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

Synthflow ai logoSynthflow ai
Api Key

Synthflow ai is an AI-powered voice automation platform for inbound and outbound customer calls. It boosts engagement and streamlines operational efficiency with conversational voice agents.

79 Tools

Introduction

This guide walks you through connecting Synthflow ai to the OpenAI Agents SDK using the Composio tool router. By the end, you'll have a working Synthflow ai agent that can create a new ai assistant for customer support, list all current voice assistants in your account, fetch details for team 'sales outreach' through natural language commands.

This guide will help you understand how to give your OpenAI Agents SDK agent real control over a Synthflow ai account through Composio's Synthflow ai MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Synthflow ai with

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 Synthflow ai
  • Configure an AI agent that can use Synthflow ai as a tool
  • Run a live chat session where you can ask the agent to perform Synthflow ai 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 Synthflow ai MCP server, and what's possible with it?

The Synthflow ai MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Synthflow ai account. It provides structured and secure access to your voice automation tools, so your agent can perform actions like managing voice assistants, handling teams, retrieving phone numbers, and automating call center operations on your behalf.

  • AI assistant management: Create, list, update, or delete AI-powered voice assistants to tailor customer interactions and automate call flows as needed.
  • Team creation and configuration: Set up new teams, modify existing ones, or remove teams to optimize your call center's routing and operational structure.
  • Knowledge base integration: Retrieve and manage knowledge base details to ensure your assistants have accurate, up-to-date information for conversations.
  • Phone number administration: Fetch and organize phone numbers linked to your workspace, making it easy to assign or reassign numbers for inbound and outbound campaigns.
  • Comprehensive assistant and team insights: Access detailed metadata and configuration for both assistants and teams, streamlining oversight and decision-making for your AI-powered operations.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Composio API Key and OpenAI API Key
  • Primary know-how of OpenAI Agents SDK
  • A live Synthflow ai project
  • Some knowledge of Python or Typescript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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
3

Install dependencies

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

Install the Composio SDK and the OpenAI Agents SDK.

4

Set up environment variables

bash
OPENAI_API_KEY=sk-...your-api-key
COMPOSIO_API_KEY=your-api-key
USER_ID=composio_user@gmail.com

Create a .env file and add your OpenAI and Composio API keys.

5

Import dependencies

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';
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 Synthflow ai.
6

Set up the Composio instance

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(),
});
What's happening:
  • dotenv.config() loads your .env file so COMPOSIO_API_KEY and USER_ID are available as environment variables.
  • Creating a Composio instance using the API Key and OpenAIAgentsProvider class.
7

Create a Tool Router session

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

What is happening:

  • You give the Tool Router the user id and the toolkits you want available. Here, it is only synthflow_ai.
  • The router checks the user's Synthflow ai connection and prepares the MCP endpoint.
  • The returned session.mcp.url is the MCP URL that your agent will use to access Synthflow ai.
  • This approach keeps things lightweight and lets the agent request Synthflow ai tools only when needed during the conversation.
8

Configure the agent

// Configure agent with MCP tool
const agent = new Agent({
  name: 'Assistant',
  model: 'gpt-5',
  instructions:
    'You are a helpful assistant that can access Synthflow ai. Help users perform Synthflow ai operations through natural language.',
  tools: [
    hostedMcpTool({
      serverLabel: 'tool_router',
      serverUrl: mcpUrl,
      headers: { 'x-api-key': composioApiKey },
      requireApproval: 'never',
    }),
  ],
});
What's happening:
  • We're creating an Agent instance with a name, model (gpt-5), and clear instructions about its purpose.
  • The agent's instructions tell it that it can access Synthflow ai and help with queries, inserts, updates, authentication, and fetching database information.
  • The tools array includes a hostedMcpTool that connects to the MCP server URL we created earlier.
  • The headers object includes the Composio API key for secure authentication with the MCP server.
  • requireApproval: 'never' means the agent can execute Synthflow ai operations without asking for permission each time, making interactions smoother.
9

Start chat loop and handle conversation

// 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);
});
What's happening:
  • The program prints a session URL that you visit to authorize Synthflow ai.
  • After authorization, the chat begins.
  • Each message you type is processed by the agent using run().
  • The responses are printed to the console.
  • Typing exit, quit, or q cleanly ends the chat.

Complete Code

Here's the complete code to get you started with Synthflow ai and OpenAI Agents SDK:

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: ['synthflow_ai'],
  });
  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 Synthflow ai. Help users perform Synthflow ai 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 Synthflow ai MCP with OpenAI Agents SDK to build a functional AI agent that can interact with Synthflow ai.

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.
TOOLS

Supported Tools

Every Synthflow ai action and event your agent gets out of the box.

Add document to knowledge base source

Tool to add a document to a knowledge base source.

Attach Actions to Agent

Tool to attach one or more actions to an agent.

Attach contact to memory store

Tool to attach a contact to a memory store.

Attach knowledge base to agent

Tool to attach a knowledge base to an agent.

Attach memory store to agent

Tool to attach a memory store to an agent.

Create Action

Tool to create a new action in Synthflow AI.

Create Assistant

Tool to create a new assistant.

Create a contact

Tool to create a new contact in Synthflow AI.

Create knowledge base

Tool to create a new knowledge base and return its ID.

Create memory store

Tool to create a new memory store.

Create Phone Book

Tool to create a new phone book.

Create phone book entry

Tool to create a phone book entry.

Create Simulation Case

Tool to create a new simulation case.

Create a simulation scenario

Tool to create a new simulation scenario.

Create a new simulation suite

Tool to create a new simulation suite attached to a specific agent.

Create a new team

Tool to create a new team.

Delete an action

Tool to delete an existing action.

Delete an assistant

Tool to delete an existing AI assistant.

Delete a chat session

Tool to delete a chat session.

Delete a contact

Tool to delete an existing contact.

Delete knowledge base

Tool to delete an existing knowledge base.

Delete a knowledge base source

Tool to delete a source from a knowledge base.

Delete a memory store

Tool to delete a memory store.

Delete a phone book

Tool to delete an existing phone book.

Delete a phone book entry

Tool to delete a phone book entry.

Delete a simulation case

Tool to delete a simulation case by ID.

Delete a simulation scenario

Tool to delete an existing simulation scenario.

Delete a simulation suite

Tool to delete a simulation suite by ID.

Delete a subaccount

Tool to delete an existing subaccount.

Delete a team

Tool to delete an existing team.

Detach actions from assistant

Tool to detach one or more actions from an AI assistant.

Detach knowledge base

Tool to detach a knowledge base from an AI assistant.

Detach contact from memory store

Tool to detach a contact from a memory store.

Detach memory store from agent

Tool to detach a memory store from an agent.

Execute simulation suite

Tool to execute all test cases in a simulation suite.

Export analytics data

Tool to export analytics data for calls within a specified date range.

Get action metadata

Tool to retrieve metadata about a specific action by its ID.

Get AI assistant details

Tool to retrieve details of a specific AI assistant.

Get phone call details

Tool to retrieve the transcript and detailed metadata for a specific phone call.

Get contact details

Tool to retrieve details of a specific contact by its ID.

Get knowledge base

Tool to retrieve details of a specific knowledge base by its ID.

Get memory store

Tool to retrieve details of a specific memory store by its ID.

Get memory store contact data

Tool to retrieve memory data for a specific contact in a memory store.

Get phone numbers

Tool to retrieve a list of phone numbers associated with a workspace.

Get simulation details

Tool to retrieve details of a specific simulation by ID.

Get Simulation Case

Tool to retrieve a simulation case by ID.

Get simulation scenario

Tool to retrieve a simulation scenario by ID.

Get simulation suite by ID

Tool to retrieve a simulation suite by ID.

Get subaccount details

Tool to retrieve detailed metadata about a specific subaccount by ID.

Get team details

Tool to retrieve details of a specific team by its ID.

Initialize Action

Tool to initialize a custom action with specified variables.

List actions

Tool to list all actions in the workspace.

List AI assistants

Tool to list all AI assistants associated with the account.

List call history

Tool to retrieve call history (call logs) with filtering to check outcomes/statuses after placing calls.

List chats

Tool to retrieve a list of chats, optionally filtered by agent ID.

List contacts

Tool to retrieve a list of contacts with optional search filtering.

List memory stores

Tool to list memory stores with optional filtering by title.

List Phone Books

Tool to list all phone books in your workspace.

List Simulation Cases

Tool to list simulation cases with pagination and optional filtering by name or type.

List simulation cases by agent

Tool to list all simulation cases created for a specific agent.

List simulations

Tool to list simulations with pagination and optional filters.

List simulation scenarios

Tool to list simulation scenarios with pagination and optional filtering.

List simulation sessions

Tool to list simulation sessions with pagination and optional filters.

List simulation suites

Tool to list simulation suites with pagination and optional filtering.

List subaccounts

Tool to list all subaccounts associated with the authenticated account.

List teams

Tool to list assistant teams.

List voices

Tool to list all text-to-speech voices in a workspace.

List webhook logs

Tool to retrieve paginated webhook logs with filtering and search capability.

Make a voice call

Tool to initiate a real-time voice call via the AI agent.

Start Simulation

Tool to start a new simulation using a simulation case.

Update Action

Tool to update an existing action in Synthflow AI.

Update Assistant

Tool to update an existing assistant’s settings.

Update a contact

Tool to update an existing contact in Synthflow AI.

Update knowledge base

Tool to update an existing knowledge base's name or usage conditions.

Update memory store

Tool to update an existing memory store's title and description.

Update Simulation Case

Tool to update an existing simulation case.

Update a simulation scenario

Tool to update an existing simulation scenario.

Update an existing simulation suite

Tool to update an existing simulation suite.

Update an existing team

Tool to update an existing team.

FAQ

Frequently asked questions

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

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 Synthflow ai tools.

Yes, absolutely. You can configure which Synthflow ai 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.

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 Synthflow ai data and credentials are handled as safely as possible.

Start with Synthflow ai.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Synthflow ai tool your agent needs.Free to start.

Start building