How to integrate Toneden MCP with LangChain

This guide walks you through connecting Toneden to LangChain using the Composio tool router. By the end, you'll have a working Toneden agent that can create a new facebook ad campaign, schedule instagram post for next friday, generate landing page for upcoming event through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Toneden account through Composio's Toneden MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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ToneDen is a platform for automating social campaigns, ads, and landing pages—especially for music promoters and event organizers. It helps boost your audience reach and streamline digital marketing workflows.

26 Tools

Introduction

This guide walks you through connecting Toneden to LangChain using the Composio tool router. By the end, you'll have a working Toneden agent that can create a new facebook ad campaign, schedule instagram post for next friday, generate landing page for upcoming event through natural language commands.

This guide will help you understand how to give your LangChain agent real control over a Toneden account through Composio's Toneden MCP server.

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

Also integrate Toneden with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Toneden project to Composio
  • Create a Tool Router MCP session for Toneden
  • Initialize an MCP client and retrieve Toneden tools
  • Build a LangChain agent that can interact with Toneden
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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

The Toneden MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Toneden account. It provides structured and secure access to your marketing campaigns, audience engagement tools, and ad automation, so your agent can perform actions like launching social campaigns, managing ads, analyzing audience growth, creating landing pages, and tracking campaign performance on your behalf.

  • Automated campaign creation and management: Let your agent launch, schedule, and optimize social media campaigns for events, music releases, or promotions without manual setup.
  • Ad management and optimization: Have your agent create, monitor, and adjust advertising campaigns to maximize audience reach and ROI across supported platforms.
  • Landing page generation: Direct the agent to design and deploy landing pages tailored for ticket sales, music drops, or fan engagement—all within your brand style.
  • Audience analytics and insights: Enable the agent to pull detailed reports on campaign performance, audience growth, and conversion metrics to inform your marketing strategy.
  • Automated retargeting and follow-ups: Allow your agent to set up retargeting flows or follow-up campaigns to recapture interested fans and boost engagement rates.

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
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
  • Log in to the Composio dashboard.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Toneden functionality through MCP
6

Initialize Composio client

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Toneden tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['toneden']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Toneden tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Toneden tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "toneden-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Toneden MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Toneden tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Toneden related question or task to the agent.\n");

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

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;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

Here's the complete code to get you started with Toneden and LangChain:

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

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

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['toneden']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "toneden-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Toneden related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    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;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\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

You've successfully built a LangChain agent that can interact with Toneden through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
TOOLS

Supported Tools

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

Create Advertising Campaign

Tool to create a ToneDen advertising campaign on Facebook or Google platforms.

Create Attachment

Tool to create an attachment.

Create ToneDen Link

Tool to create a ToneDen link.

Delete Advertising Campaign

Deletes a ToneDen advertising campaign by ID using DELETE /advertising/campaigns/{campaignID}.

Delete ToneDen Link

Deletes a ToneDen link by ID using DELETE /links/{linkID}.

Delete ToneDen Playbook Campaign

Deletes a ToneDen playbook campaign by ID using DELETE /playbooks/campaigns/{campaignID}.

Expand ToneDen Link Template

Tool to expand a ToneDen link template.

Get Advertising Campaign

Retrieve a specific advertising campaign by its ID using ToneDen's API.

Get Advertising Campaign Creative Insights

Retrieve creative performance insights for a specific advertising campaign using ToneDen's API.

Get Advertising Campaign Insights

Retrieve performance insights for a specific advertising campaign using ToneDen's API.

Get Attachment

Tool to retrieve an attachment by ID.

Get Attachment Entries Time Series

Tool to fetch time-series entry statistics for a specific attachment.

Get Attachment Entries Totals

Tool to fetch summary counts of entries for an attachment.

Get Attachment Unlocks By Platform

Tool to fetch counts of unlocks by platform for a specific attachment.

Get Attachment Unlocks Time Series

Tool to fetch time-series unlock statistics for a specific attachment.

Get Link

Tool to retrieve a specific ToneDen link by its ID.

Get Link Insights

Tool to retrieve detailed insights for a ToneDen link.

Get Link Insights Overview

Tool to retrieve a summary overview of a link's performance insights.

Get ToneDen User

Tool to retrieve a specific ToneDen user by ID.

List ToneDen Playbook Campaigns

Tool to list playbook campaigns.

List User Attachments

Tool to list attachments for a user.

List User Lists

Tool to retrieve a list of a user's advertising user lists.

Update Attachment

Tool to update an existing attachment.

Update ToneDen Playbook Campaign

Updates a ToneDen playbook campaign by ID using PUT /playbooks/campaigns/{campaignID}.

Update ToneDen User

Tool to update a ToneDen user's profile.

Validate Link Path

Tool to check if a link path/subdomain combination is unique and valid.

FRAMEWORKS

How to build Toneden MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Toneden MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Toneden MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Toneden MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Toneden MCP with Claude Cowork

Codex logo

Codex

Use Toneden MCP with Codex

OpenClaw logo

OpenClaw

Use Toneden MCP with OpenClaw

Hermes logo

Hermes

Use Toneden MCP with Hermes

CLI logo

CLI

Use Toneden MCP with CLI

Google ADK logo

Google ADK

Use Toneden MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Toneden MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Toneden MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Toneden MCP with LlamaIndex

CrewAI logo

CrewAI

Use Toneden MCP with CrewAI

FAQ

Frequently asked questions

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

Yes, you can. LangChain 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 Toneden tools.

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

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