How to integrate Spoki MCP with LangChain

This guide walks you through connecting Spoki to LangChain using the Composio tool router. By the end, you'll have a working Spoki agent that can list all whatsapp campaigns scheduled this week, get current report for your spoki account, update contact details for customer mario rossi through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Spoki account through Composio's Spoki MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Spoki is an Italian platform for automating WhatsApp communication via official APIs. It streamlines marketing, sales, support, and payment messaging for businesses.

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Introduction

This guide walks you through connecting Spoki to LangChain using the Composio tool router. By the end, you'll have a working Spoki agent that can list all whatsapp campaigns scheduled this week, get current report for your spoki account, update contact details for customer mario rossi through natural language commands.

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

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

Also integrate Spoki 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 Spoki project to Composio
  • Create a Tool Router MCP session for Spoki
  • Initialize an MCP client and retrieve Spoki tools
  • Build a LangChain agent that can interact with Spoki
  • 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 Spoki MCP server, and what's possible with it?

The Spoki MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Spoki account. It provides structured and secure access to your WhatsApp communication workflows, so your agent can manage contacts, send and organize campaigns, retrieve reports, and automate marketing or support tasks with ease.

  • Contact management and automation: Instantly create, update, or delete WhatsApp contacts, and enrich them with custom fields for personalized messaging and streamlined communication.
  • Campaign and automation insights: Let your agent list, search, and filter campaigns or automations, enabling real-time oversight and optimization of your marketing or support workflows.
  • Template and tag organization: Effortlessly retrieve, search, and manage WhatsApp message templates and tags, so your agent can keep communication assets organized and ready to use.
  • Account reporting and analytics: Obtain current reports on message and conversation metrics, giving your agent the power to monitor campaign performance and engagement at a glance.
  • Agency and team coordination: Fetch all accessible agencies for the authenticated account, supporting seamless collaboration across teams or business units from within your AI workflows.

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 Spoki 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 Spoki 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: ['spoki']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Spoki 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 Spoki tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "spoki-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 Spoki MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Spoki 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 Spoki 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 Spoki 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: ['spoki']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "spoki-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 Spoki 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 Spoki 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 Spoki action and event your agent gets out of the box.

Add Contact Operator

Tool to assign an operator to a contact's chat.

Add Service User

Adds a new service user with a specific role to your Spoki account.

Check Role Private Key

Tool to check if a service user role has a private key configured.

Clone Template

Tool to create a duplicate copy of an existing template.

Create Account Onboarding Link

Tool to create an onboarding link for a specific Spoki account.

Create Custom Field

Creates a new custom field in Spoki for storing additional contact data.

Create Contact List

Creates a new contact list in Spoki for organizing and managing contacts.

Create Media File

Tool to create a new media file entry in Spoki.

Create or Update Contact

Creates a new contact or updates an existing contact in Spoki using the phone number as the unique identifier.

Create Template

Creates a new WhatsApp message template with localizations, buttons, and media headers.

Create Ticket

Tool to create a new support ticket in Spoki.

Delete contact

Tool to delete a specific contact.

Delete Custom Field

Tool to delete a specific custom field.

Delete list

Tool to delete a specific list.

Delete media file

Tool to delete a specific media file.

Delete role

Tool to delete a specific role.

Delete template

Tool to delete a WhatsApp template.

Delete ticket

Tool to delete a specific ticket.

Generate Role Private Key

Tool to generate a private key for a service user role.

Get Account Current Report

Tool to get the current report for a specified account.

List Accounts

Tool to retrieve a list of Spoki WhatsApp Business accounts with their details.

List Agencies

Tool to list all agencies accessible to the user.

List Automations

Tool to list, search, and filter automations.

List campaigns

Tool to list, search, and filter campaigns.

List Contacts

Tool to list, search, and filter contacts.

List Custom Fields

Tool to list, search, and filter custom fields.

List Lists

Tool to list, search, and filter contact lists.

List media

Tool to list media files.

List Partners

List all partners accessible to the authenticated account.

List Reports

Tool to list, search, and filter usage reports.

List Roles

Tool to list user roles in the system.

List tags

Lists all tags in the account.

List templates

Tool to list, search, and filter WhatsApp templates.

List Tickets

Tool to list, search, and filter tickets.

Remove All List Contacts

Tool to remove all contacts from a list.

Remove Contact Operator

Tool to remove an operator from a contact's chat.

Remove Contacts from List

Tool to remove specific contacts from a list.

Resend Invitation

Tool to resend an invitation email.

Retrieve Account

Retrieves detailed information about a specific Spoki WhatsApp Business account.

Retrieve Automation

Tool to retrieve details of a specific automation.

Retrieve Contact

Tool to retrieve details of a specific contact.

Retrieve Custom Field

Tool to retrieve details of a specific custom field.

Retrieve List

Tool to retrieve details of a specific list by ID.

Retrieve Media

Tool to retrieve details of a specific media file by ID.

Retrieve Role

Tool to retrieve details of a specific role by ID.

Retrieve Tag

Tool to retrieve details of a specific tag.

Retrieve Template

Tool to retrieve details of a specific template.

Revert Template to Draft

Tool to revert a WhatsApp template back to DRAFT status, removing it from WhatsApp.

Bulk Sync Contacts

Tool to bulk sync (create or update) multiple contacts in a single request.

Sync Contacts to List

Tool to create or update contacts and add them to a specific list in Spoki.

Update Campaign

Tool to update an existing campaign's name, status, or scheduled time.

Update Contact

Tool to update an existing contact in Spoki.

Update Custom Field

Tool to update a specific custom field.

Update Invitation Role

Tool to update the role of a pending invitation.

Update Media

Tool to update an existing media file in Spoki.

Update Role

Tool to update a user's role.

Update Template

Tool to update an existing WhatsApp template in Spoki.

FRAMEWORKS

How to build Spoki MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Spoki MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Spoki MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Spoki MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Spoki MCP with Claude Cowork

Codex logo

Codex

Use Spoki MCP with Codex

OpenClaw logo

OpenClaw

Use Spoki MCP with OpenClaw

Hermes logo

Hermes

Use Spoki MCP with Hermes

CLI logo

CLI

Use Spoki MCP with CLI

Google ADK logo

Google ADK

Use Spoki MCP with Google ADK

Vercel AI SDK logo

Vercel AI SDK

Use Spoki MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Spoki MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Spoki MCP with LlamaIndex

CrewAI logo

CrewAI

Use Spoki MCP with CrewAI

FAQ

Frequently asked questions

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

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

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Co-founder, Slashy

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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Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

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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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Founder, Extra Thursday

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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Founder & CEO, SwarmZero

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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Co-Founder, Ingram Technologies