How to integrate Spoki MCP with Autogen

This guide walks you through connecting Spoki to AutoGen 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 AutoGen 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.

Spoki logoSpoki
Api Key

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

57 Tools

Introduction

This guide walks you through connecting Spoki to AutoGen 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 AutoGen 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

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Install the required dependencies for Autogen and Composio
  • Initialize Composio and create a Tool Router session for Spoki
  • Wire that MCP URL into Autogen using McpWorkbench and StreamableHttpServerParams
  • Configure an Autogen AssistantAgent that can call Spoki tools
  • Run a live chat loop where you ask the agent to perform Spoki operations

What is AutoGen?

Autogen is a framework for building multi-agent conversational AI systems from Microsoft. It enables you to create agents that can collaborate, use tools, and maintain complex workflows.

Key features include:

  • Multi-Agent Systems: Build collaborative agent workflows
  • MCP Workbench: Native support for Model Context Protocol tools
  • Streaming HTTP: Connect to external services through streamable HTTP
  • AssistantAgent: Pre-built agent class for tool-using assistants

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 step08 STEPS
1

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Spoki account you can connect to Composio
  • Some basic familiarity with Autogen and Python async
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

bash
pip install composio python-dotenv
pip install autogen-agentchat autogen-ext-openai autogen-ext-tools

Install Composio, Autogen extensions, and dotenv.

What's happening:

  • composio connects your agent to Spoki via MCP
  • autogen-agentchat provides the AssistantAgent class
  • autogen-ext-openai provides the OpenAI model client
  • autogen-ext-tools provides MCP workbench support

4

Set up environment variables

bash
COMPOSIO_API_KEY=your-composio-api-key
OPENAI_API_KEY=your-openai-api-key
USER_ID=your-user-identifier@example.com

Create a .env file in your project folder.

What's happening:

  • COMPOSIO_API_KEY is required to talk to Composio
  • OPENAI_API_KEY is used by Autogen's OpenAI client
  • USER_ID is how Composio identifies which user's Spoki connections to use
5

Import dependencies and create Tool Router session

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Spoki session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["spoki"]
    )
    url = session.mcp.url
What's happening:
  • load_dotenv() reads your .env file
  • Composio(api_key=...) initializes the SDK
  • create(...) creates a Tool Router session that exposes Spoki tools
  • session.mcp.url is the MCP endpoint that Autogen will connect to
6

Configure MCP parameters for Autogen

python
# Configure MCP server parameters for Streamable HTTP
server_params = StreamableHttpServerParams(
    url=url,
    timeout=30.0,
    sse_read_timeout=300.0,
    terminate_on_close=True,
    headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
)

Autogen expects parameters describing how to talk to the MCP server. That is what StreamableHttpServerParams is for.

What's happening:

  • url points to the Tool Router MCP endpoint from Composio
  • timeout is the HTTP timeout for requests
  • sse_read_timeout controls how long to wait when streaming responses
  • terminate_on_close=True cleans up the MCP server process when the workbench is closed
7

Create the model client and agent

python
# Create model client
model_client = OpenAIChatCompletionClient(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY")
)

# Use McpWorkbench as context manager
async with McpWorkbench(server_params) as workbench:
    # Create Spoki assistant agent with MCP tools
    agent = AssistantAgent(
        name="spoki_assistant",
        description="An AI assistant that helps with Spoki operations.",
        model_client=model_client,
        workbench=workbench,
        model_client_stream=True,
        max_tool_iterations=10
    )

What's happening:

  • OpenAIChatCompletionClient wraps the OpenAI model for Autogen
  • McpWorkbench connects the agent to the MCP tools
  • AssistantAgent is configured with the Spoki tools from the workbench
8

Run the interactive chat loop

python
print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Spoki related question or task to the agent.\n")

# Conversation loop
while True:
    user_input = input("You: ").strip()

    if user_input.lower() in ["exit", "quit", "bye"]:
        print("\nGoodbye!")
        break

    if not user_input:
        continue

    print("\nAgent is thinking...\n")

    # Run the agent with streaming
    try:
        response_text = ""
        async for message in agent.run_stream(task=user_input):
            if hasattr(message, "content") and message.content:
                response_text = message.content

        # Print the final response
        if response_text:
            print(f"Agent: {response_text}\n")
        else:
            print("Agent: I encountered an issue processing your request.\n")

    except Exception as e:
        print(f"Agent: Sorry, I encountered an error: {str(e)}\n")
What's happening:
  • The script prompts you in a loop with You:
  • Autogen passes your input to the model, which decides which Spoki tools to call via MCP
  • agent.run_stream(...) yields streaming messages as the agent thinks and calls tools
  • Typing exit, quit, or bye ends the loop

Complete Code

Here's the complete code to get you started with Spoki and AutoGen:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio

from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
from autogen_ext.tools.mcp import McpWorkbench, StreamableHttpServerParams

load_dotenv()

async def main():
    # Initialize Composio and create a Spoki session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["spoki"]
    )
    url = session.mcp.url

    # Configure MCP server parameters for Streamable HTTP
    server_params = StreamableHttpServerParams(
        url=url,
        timeout=30.0,
        sse_read_timeout=300.0,
        terminate_on_close=True,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )

    # Create model client
    model_client = OpenAIChatCompletionClient(
        model="gpt-5",
        api_key=os.getenv("OPENAI_API_KEY")
    )

    # Use McpWorkbench as context manager
    async with McpWorkbench(server_params) as workbench:
        # Create Spoki assistant agent with MCP tools
        agent = AssistantAgent(
            name="spoki_assistant",
            description="An AI assistant that helps with Spoki operations.",
            model_client=model_client,
            workbench=workbench,
            model_client_stream=True,
            max_tool_iterations=10
        )

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

        # Conversation loop
        while True:
            user_input = input("You: ").strip()

            if user_input.lower() in ['exit', 'quit', 'bye']:
                print("\nGoodbye!")
                break

            if not user_input:
                continue

            print("\nAgent is thinking...\n")

            # Run the agent with streaming
            try:
                response_text = ""
                async for message in agent.run_stream(task=user_input):
                    if hasattr(message, 'content') and message.content:
                        response_text = message.content

                # Print the final response
                if response_text:
                    print(f"Agent: {response_text}\n")
                else:
                    print("Agent: I encountered an issue processing your request.\n")

            except Exception as e:
                print(f"Agent: Sorry, I encountered an error: {str(e)}\n")

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You now have an Autogen assistant wired into Spoki through Composio's Tool Router and MCP. From here you can:
  • Add more toolkits to the toolkits list, for example notion or hubspot
  • Refine the agent description to point it at specific workflows
  • Wrap this script behind a UI, Slack bot, or internal tool
Once the pattern is clear for Spoki, you can reuse the same structure for other MCP-enabled apps with minimal code changes.
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.

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. Autogen 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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