How to integrate Synthflow ai MCP with Mastra AI

This guide walks you through connecting Synthflow ai to Mastra AI 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 Mastra AI 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.

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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.

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Introduction

This guide walks you through connecting Synthflow ai to Mastra AI 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 Mastra AI 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

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKLlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Set up your environment so Mastra, OpenAI, and Composio work together
  • Create a Tool Router session in Composio that exposes Synthflow ai tools
  • Connect Mastra's MCP client to the Composio generated MCP URL
  • Fetch Synthflow ai tool definitions and attach them as a toolset
  • Build a Mastra agent that can reason, call tools, and return structured results
  • Run an interactive CLI where you can chat with your Synthflow ai agent

What is Mastra AI?

Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP.

Key features include:

  • MCP Client: Built-in support for Model Context Protocol servers
  • Toolsets: Organize tools into logical groups
  • Step Callbacks: Monitor and debug agent execution
  • OpenAI Integration: Works with OpenAI models via @ai-sdk/openai

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:
  • Node.js 18 or higher
  • A Composio account with an active API key
  • An OpenAI API key
  • Basic familiarity with TypeScript
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard and create an API key.
  • You need credits or a connected billing setup to use the models.
  • Store the key somewhere safe.
Composio API Key
  • Log in to the Composio dashboard.
  • Go to Settings and copy your API key.
  • This key lets your Mastra agent talk to Composio and reach Synthflow ai through MCP.
3

Install dependencies

bash
npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv

Install the required packages.

What's happening:

  • @composio/core is the Composio SDK for creating MCP sessions
  • @mastra/core provides the Agent class
  • @mastra/mcp is Mastra's MCP client
  • @ai-sdk/openai is the model wrapper for OpenAI
  • dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your requests to Composio
  • COMPOSIO_USER_ID tells Composio which user this session belongs to
  • OPENAI_API_KEY lets the Mastra agent call OpenAI models
5

Import libraries and validate environment

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({
  apiKey: composioAPIKey as string,
});
What's happening:
  • dotenv/config auto loads your .env so process.env.* is available
  • openai gives you a Mastra compatible model wrapper
  • Agent is the Mastra agent that will call tools and produce answers
  • MCPClient connects Mastra to your Composio MCP server
  • Composio is used to create a Tool Router session
6

Create a Tool Router session for Synthflow ai

typescript
async function main() {
  const session = await composio.create(
    composioUserID as string,
    {
      toolkits: ["synthflow_ai"],
    },
  );

  const composioMCPUrl = session.mcp.url;
  console.log("Synthflow ai MCP URL:", composioMCPUrl);
What's happening:
  • create spins up a short-lived MCP HTTP endpoint for this user
  • The toolkits array contains "synthflow_ai" for Synthflow ai access
  • session.mcp.url is the MCP URL that Mastra's MCPClient will connect to
7

Configure Mastra MCP client and fetch tools

typescript
const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      nasdaq: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

console.log("Fetching MCP tools from Composio...");
const composioTools = await mcpClient.getTools();
console.log("Number of tools:", Object.keys(composioTools).length);
What's happening:
  • MCPClient takes an id for this client and a list of MCP servers
  • The headers property includes the x-api-key for authentication
  • getTools fetches the tool definitions exposed by the Synthflow ai toolkit
8

Create the Mastra agent

typescript
const agent = new Agent({
    name: "synthflow_ai-mastra-agent",
    instructions: "You are an AI agent with Synthflow ai tools via Composio.",
    model: "openai/gpt-5",
  });
What's happening:
  • Agent is the core Mastra agent
  • name is just an identifier for logging and debugging
  • instructions guide the agent to use tools instead of only answering in natural language
  • model uses openai("gpt-5") to configure the underlying LLM
9

Set up interactive chat interface

typescript
let messages: AiMessageType[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end.\n");

const rl = readline.createInterface({
  input: process.stdin,
  output: process.stdout,
  prompt: "> ",
});

rl.prompt();

rl.on("line", async (userInput: string) => {
  const trimmedInput = userInput.trim();

  if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) {
    console.log("\nGoodbye!");
    rl.close();
    process.exit(0);
  }

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

  messages.push({
    id: crypto.randomUUID(),
    role: "user",
    content: trimmedInput,
  });

  console.log("\nAgent is thinking...\n");

  try {
    const response = await agent.generate(messages, {
      toolsets: {
        synthflow_ai: composioTools,
      },
      maxSteps: 8,
    });

    const { text } = response;

    if (text && text.trim().length > 0) {
      console.log(`Agent: ${text}\n`);
        messages.push({
          id: crypto.randomUUID(),
          role: "assistant",
          content: text,
        });
      }
    } catch (error) {
      console.error("\nError:", error);
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    console.log("\nSession ended.");
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main().catch((err) => {
  console.error("Fatal error:", err);
  process.exit(1);
});
What's happening:
  • messages keeps the full conversation history in Mastra's expected format
  • agent.generate runs the agent with conversation history and Synthflow ai toolsets
  • maxSteps limits how many tool calls the agent can take in a single run
  • onStepFinish is a hook that prints intermediate steps for debugging

Complete Code

Here's the complete code to get you started with Synthflow ai and Mastra AI:

typescript
import "dotenv/config";
import { openai } from "@ai-sdk/openai";
import { Agent } from "@mastra/core/agent";
import { MCPClient } from "@mastra/mcp";
import { Composio } from "@composio/core";
import * as readline from "readline";

import type { AiMessageType } from "@mastra/core/agent";

const openaiAPIKey = process.env.OPENAI_API_KEY;
const composioAPIKey = process.env.COMPOSIO_API_KEY;
const composioUserID = process.env.COMPOSIO_USER_ID;

if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set");
if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set");
if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set");

const composio = new Composio({ apiKey: composioAPIKey as string });

async function main() {
  const session = await composio.create(composioUserID as string, {
    toolkits: ["synthflow_ai"],
  });

  const composioMCPUrl = session.mcp.url;

  const mcpClient = new MCPClient({
    id: composioUserID as string,
    servers: {
      synthflow_ai: {
        url: new URL(composioMCPUrl),
        requestInit: {
          headers: session.mcp.headers,
        },
      },
    },
    timeout: 30_000,
  });

  const composioTools = await mcpClient.getTools();

  const agent = new Agent({
    name: "synthflow_ai-mastra-agent",
    instructions: "You are an AI agent with Synthflow ai tools via Composio.",
    model: "openai/gpt-5",
  });

  let messages: AiMessageType[] = [];

  const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: "> ",
  });

  rl.prompt();

  rl.on("line", async (input: string) => {
    const trimmed = input.trim();
    if (["exit", "quit"].includes(trimmed.toLowerCase())) {
      rl.close();
      return;
    }

    messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed });

    const { text } = await agent.generate(messages, {
      toolsets: { synthflow_ai: composioTools },
      maxSteps: 8,
    });

    if (text) {
      console.log(`Agent: ${text}\n`);
      messages.push({ id: crypto.randomUUID(), role: "assistant", content: text });
    }

    rl.prompt();
  });

  rl.on("close", async () => {
    await mcpClient.disconnect();
    process.exit(0);
  });
}

main();

Conclusion

You've built a Mastra AI agent that can interact with Synthflow ai through Composio's Tool Router. You can extend this further by:
  • Adding other toolkits like Gmail, Slack, or GitHub
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows
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.

FRAMEWORKS

How to build Synthflow ai MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Synthflow ai MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Synthflow ai MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Synthflow ai MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Synthflow ai MCP with Claude Cowork

Codex logo

Codex

Use Synthflow ai MCP with Codex

OpenClaw logo

OpenClaw

Use Synthflow ai MCP with OpenClaw

Hermes logo

Hermes

Use Synthflow ai MCP with Hermes

CLI logo

CLI

Use Synthflow ai MCP with CLI

Google ADK logo

Google ADK

Use Synthflow ai MCP with Google ADK

LangChain logo

LangChain

Use Synthflow ai MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Synthflow ai MCP with Vercel AI SDK

LlamaIndex logo

LlamaIndex

Use Synthflow ai MCP with LlamaIndex

CrewAI logo

CrewAI

Use Synthflow ai MCP with CrewAI

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. Mastra AI 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.

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A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

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As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

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Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

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With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

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