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How to integrate Brevo MCP with LlamaIndex

Connect LlamaIndex to Brevo MCP. Send sms campaign to new subscribers, create or update an email template, and more using natural language, with authentication handled for you.

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Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools.

62 Tools

Introduction

This guide walks you through connecting Brevo to LlamaIndex using the Composio tool router. By the end, you'll have a working Brevo agent that can send transactional emails, create and send email and SMS campaigns, manage contacts and lists, and track deals through natural language commands.

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

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

For exact tool slugs and parameter tables, see the tool catalog in the Composio docs.

Also integrate Brevo with

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TL;DR

Here's what you'll learn:
  • Set your OpenAI and Composio API keys
  • Install LlamaIndex and Composio packages
  • Create a Composio Tool Router session for Brevo
  • Connect LlamaIndex to the Brevo MCP server
  • Build a Brevo-powered agent using LlamaIndex
  • Interact with Brevo through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

  • ReAct Agent: Reasoning and acting pattern for tool-using agents
  • MCP Tools: Native support for Model Context Protocol
  • Context Management: Maintain conversation context across interactions
  • Async Support: Built for async/await patterns

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

The Brevo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Brevo account. It provides structured and secure access to your contacts, campaigns, templates, transactional email activity, SMS campaigns, and CRM records, so your agent can manage contacts, create campaigns, send emails, review messaging activity, and maintain company records on your behalf.

  • Contact and audience management: Have your agent create, update, delete, import, and review contacts, organize them into lists, and inspect configured contact attributes.
  • Email campaign creation and delivery: Direct your agent to create or update email campaigns, review campaign details, and send completed draft campaigns to their recipients.
  • Transactional email and templates: Let the agent create or update email templates, send or schedule transactional emails, and review transactional email events.
  • SMS campaign management: Instruct your agent to create SMS campaigns, review existing campaigns and their details, or delete campaigns that are no longer needed.
  • CRM and performance insights: Have your agent create, review, list, or delete companies, check contact campaign statistics, and inspect sender domains and their verification status.

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 you begin, make sure you have:
  • Python 3.8/Node 16 or higher installed
  • A Composio account with the API key
  • An OpenAI API key
  • A Brevo account and project
  • Basic familiarity with async Python/Typescript
2

Getting API Keys for OpenAI, Composio, and Brevo

OpenAI API key (OPENAI_API_KEY)
  • Go to the OpenAI dashboard
  • Create an API key if you don't have one
  • Assign it to OPENAI_API_KEY in .env
Composio API key and user ID
  • Log into the Composio dashboard
  • Copy your API key from Settings
    • Use this as COMPOSIO_API_KEY
  • Pick a stable user identifier (email or ID)
    • Use this as COMPOSIO_USER_ID
3

Installing dependencies

npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv

Create a new Typescript project and install the necessary dependencies:

  • @composio/llamaindex: Composio's LlamaIndex integration
  • @llamaindex/openai: OpenAI LLM integration
  • @llamaindex/tools: MCP client for LlamaIndex
  • @llamaindex/workflow: Workflow framework for LlamaIndex
  • dotenv: Environment variable management
4

Set environment variables

bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

  • Authenticate with OpenAI's GPT-5 model
  • Connect to Composio's Tool Router
  • Identify your Composio user session for Brevo access
5

Import modules

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

Create a new file called brevo_llamaindex_agent.ts and import the required modules:

Key imports:

  • dotenv.config loads .env at runtime
  • readline gives us a simple CLI chat loop
  • Composio is the main Composio SDK client
  • mcp connects to an MCP endpoint
  • createAgent builds a LlamaIndex agent
  • openai configures the LLM backend
6

Load environment variables and initialize Composio

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

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

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

7

Create a Tool Router session and build the agent function

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["brevo"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Brevo actions." ,
    llm,
    tools,
  });

  return agent;
}

What's happening here:

  • We create a Composio client using your API key and configure it with the LlamaIndex provider
  • We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, brevo)
  • The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
  • LlamaIndex will connect to this endpoint to dynamically discover and use the available Brevo tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
8

Create an interactive chat loop

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

What's happening:

  • We're creating a direct terminal interface to chat with Brevo
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • The agent processes the request, selects appropriate Brevo tools, and returns a result
  • We extract the answer from the result data structure and display it to the user
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are streamed in a clear, readable format
9

Define the main entry point

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();

What's happening here:

  • We're orchestrating the entire application flow
  • The agent gets built with proper error handling
  • Then we kick off the interactive chat loop so you can start talking to Brevo
10

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Brevo, then start asking questions.

Complete Code

Here's the complete code to get you started with Brevo and LlamaIndex:

import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["brevo"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Brevo actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();

Conclusion

You've successfully connected Brevo to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Brevo tools through an MCP endpoint
  • LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
  • The agent becomes more capable without increasing prompt size
  • Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.
TOOLS

Supported Tools

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

Add Contacts to List

Add existing Brevo contacts to one list using one identifier family.

Create a company

Creates a new company record in your Brevo CRM.

Create Contact

Create a Brevo contact, or update a matching contact when explicitly enabled.

Create Contact Attribute

Create a Brevo contact attribute definition.

Create Contact List

Creates a new contact list (audience) in Brevo within a specified folder.

Create Deal

Create a Brevo CRM deal with optional attributes and associations.

Create Email Campaign

Create an email campaign as a draft, or schedule it when requested.

Create or Update Email Template

This tool creates a new email template or updates an existing one in Brevo.

Create Sender

Create a Brevo email sender identity and return DNS configuration warnings.

Create Sender Domain

Register a Brevo sender domain and return available DNS authentication records.

Create SMS Campaign

This tool allows you to create a new SMS campaign in Brevo.

Delete a company

Deletes a company from Brevo using its unique identifier.

Delete Contact

Deletes a contact from Brevo by email, contact ID, external ID, phone number, WhatsApp ID, or landline number.

Delete Contact List

Permanently delete a Brevo contact list without deleting its contacts.

Delete Email Campaign

Delete an unscheduled campaign and related template, builder, and schedule data.

Delete Email Template

This tool deletes an inactive email template from Brevo.

Delete SMS Campaign

This tool deletes an existing SMS campaign.

Export Email Campaign Recipients

Start an asynchronous CSV export of a sent email campaign's recipients.

Get Account Information

Retrieves comprehensive information about the authenticated Brevo account.

Get Aggregated Transactional Email Report

Return aggregate delivery and engagement totals for transactional emails.

Get all contacts

Retrieves a page of Brevo contacts, with filters for creation or modification dates, list IDs, or a segment ID.

Get all email templates

This tool retrieves a list of all email templates created in your Brevo account.

Get All Senders

This tool retrieves a list of all senders associated with the Brevo account.

Get Company Details

Retrieves detailed information about a specific company from Brevo's CRM.

Get Contact Campaign Stats

Retrieve a contact's email campaign statistics for a bounded date range.

Get Contact Details

This tool retrieves detailed information about a specific contact in Brevo.

Get Contact List

Get contact-list metadata and optional campaign statistics by list ID.

Get contact lists

Retrieve one page of Brevo contact lists, including list IDs and names and, when returned, subscriber counts and folder associations.

Get Email Campaign Details

Retrieve details for a specific email campaign, including available HTML content, recipients, and statistics.

Get Email Template

Retrieve one transactional email template by numeric or custom ID.

Get Process

Retrieve the status and available result details of a Brevo process.

Get SMS Campaign Details

Retrieves the details of a specific SMS campaign.

Get SMS Campaigns

List a page of Brevo SMS campaigns, with optional status and sent-date filtering, pagination, and creation-date sorting.

Get Transactional Email

Retrieve a sent transactional email by its identifier, including event history and personalized content when retained by Brevo.

Import Contacts

Submit a contact import to Brevo and return its background process ID.

List All Companies

This action retrieves a list of all companies stored in the Brevo CRM.

List Contact Attributes

List the contact attributes configured in the Brevo account.

List Contact Folders

List folders that organize contact lists in the connected Brevo account.

List Contact Lists in Folder

List one bounded page of contact lists belonging to a Brevo folder.

List Contact Segments

List one page of contact segments configured in the Brevo account.

List CRM Notes

List one page of Brevo CRM notes, optionally filtered by entity and date.

List CRM Pipelines

List every Brevo CRM deal pipeline with its stages and stage settings.

List Custom Object Records

List one page of records for an Enterprise-only Brevo custom object.

List Deals

List one page of Brevo CRM deals with optional relationship filters.

List Email Campaigns

List a page of Brevo email campaigns, with filters for type, status, and dates.

List Orders

List one page of Brevo ecommerce orders.

List Organization Users

List active and pending users in the connected Brevo organization.

List Processes

List a bounded page of Brevo background processes for status monitoring.

List Sender Domains

List sender domains and their authentication and verification status.

List Transactional Email Events

List one page of transactional email events with Brevo's complete filter set.

List Transactional Emails

List a page of sent transactional email records, filtered by recipient email, template ID, or message ID.

Remove Contacts from List

Remove selected contacts, or every contact, from one Brevo list.

Send Email Campaign Now

Request immediate sending of an existing draft email campaign to its recipients.

Send Email Campaign Test

Send a campaign test to explicit recipients or the account test list.

Send Transactional Email

Send or schedule one or many transactional emails through Brevo.

Send Transactional Template Test

Send a transactional template test to recipients or the account test list.

Update Contact

Update fields and list memberships for an existing Brevo contact.

Update Contact List

Rename an existing Brevo contact list, move it to a folder, or both.

Update Deal

Update a Brevo CRM deal's fields or complete association lists.

Update Email Campaign

Updates an email campaign in Brevo using its unique identifier.

Update Email Campaign Status

Apply a documented lifecycle status operation to an email campaign.

Upload Campaign Image

Upload an image from a public URL to Brevo's campaign image gallery.

FRAMEWORKS

How to build Brevo MCP Agent with another framework

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Claude Code

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Claude Cowork logo

Claude Cowork

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OpenAI Agents SDK logo

OpenAI Agents SDK

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Claude Agent SDK logo

Claude Agent SDK

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Muse logo

Muse

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Codex logo

Codex

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OpenClaw logo

OpenClaw

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Hermes logo

Hermes

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Atomic Agent logo

Atomic Agent

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Google ADK logo

Google ADK

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LangChain logo

LangChain

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Vercel AI SDK logo

Vercel AI SDK

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Mastra AI logo

Mastra AI

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CrewAI logo

CrewAI

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Pydantic AI logo

Pydantic AI

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AutoGen logo

AutoGen

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FAQ

Frequently asked questions

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