Can I format the transactional emails organically via prompt?

Absolutely. Using the `send_transactional_email` operation, the AI dynamically renders the HTML body from your specific text instructions or leverages pre-made numeric Brevo templates.

Is it possible to assign custom CRM attributes when creating a contact?

Yes. The `create_contact` tool exposes a JSON parameter block mapping fields perfectly (like FIRSTNAME, LASTNAME, CITY) directly alongside their assigned inclusion lists.

Are the SMS dispatched globally?

Yes! Brevo's massive routing handles global cellular numbers, and the `send_sms` command executes that payload identically as long as your Brevo account remains credit-funded and active.

Brevo MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Brevo
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Brevo as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Brevo. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Brevo?"
    )
    print(response)

asyncio.run(main())

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About Brevo MCP Server

Connect your Brevo (formerly Sendinblue) account to any AI agent and execute marketing operations and crucial transactional workflows via natural conversation.

LlamaIndex agents combine Brevo tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Transactional Emails — Send richly formatted HTML or template-based alerts instantly on demand
SMS Dispatch — Fire immediate SMS campaigns and notifications globally to verified phone numbers
Contacts & CRM — Seamlessly create new user profiles, map attributes, and assign lists structurally

The Brevo MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Brevo to LlamaIndex via MCP

Follow these steps to integrate the Brevo MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Brevo

Why Use LlamaIndex with the Brevo MCP Server

LlamaIndex provides unique advantages when paired with Brevo through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Brevo tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Brevo tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Brevo, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Brevo tools were called, what data was returned, and how it influenced the final answer

Brevo + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Brevo MCP Server delivers measurable value.

Hybrid search: combine Brevo real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Brevo to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Brevo for fresh data

Analytical workflows: chain Brevo queries with LlamaIndex's data connectors to build multi-source analytical reports

Brevo MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Brevo to LlamaIndex via MCP:

create_contact_list

Create a new empty audience list folder for organizing campaigns in Brevo

create_crm_contact

Create a new contact record within the Brevo CRM

delete_crm_contact

Permanently delete a CRM contact profile conforming to database compliance

get_contact_attributes

Retrieve specific profile attributes and metadata for a given contact email

get_smtp_account_details

Retrieve the current Brevo account status, plans, and quota mappings

list_contact_folders

Retrieve all contact lists and campaign segments structured in the CRM

list_crm_contacts

List all contacts stored in the Brevo CRM

send_transactional_email

Needs absolute mapped verified domains to avoid DKIM failure bouncing. Send a transactional email payload via the Brevo SMTP API

send_transactional_sms

164 phone formats via `/transactionalSMS/sms` successfully bypassing web clients. Dispatch an automated transactional SMS directly to cellular hardware

update_contact_attributes

Update custom attributes or metadata parameters for a specific CRM contact

Example Prompts for Brevo in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Brevo immediately.

"Send a transactional email to test@domain.com saying hello."

"Create contact john.doe@mail.com and map their name as John."

"Can you text message 'Server requires reboot' to my admin phone?"

Troubleshooting Brevo MCP Server with LlamaIndex

Common issues when connecting Brevo to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Brevo + LlamaIndex FAQ

Common questions about integrating Brevo MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.