Brevo MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Contact, Create Email Campaign, Get Account, and more
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.
Ask AI about this App Connector for LlamaIndex
The Brevo app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 11 tools available."
),
)
response = await agent.run(
"What tools are available in Brevo?"
)
print(response)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Brevo MCP Server
Connect your Brevo account to any AI agent and take full control of your marketing automation and transactional communication workflows through natural conversation.
LlamaIndex agents combine Brevo tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Contact Orchestration — List and manage your contact database programmatically, retrieving detailed high-fidelity profiles and synchronizing custom attributes in real-time
- Campaign Intelligence — Create and monitor high-fidelity email marketing campaigns and retrieve detailed performance reports directly through your agent
- Transactional Messaging — Programmatically dispatch single transactional emails via Brevo SMTP to ensure perfectly coordinated customer notifications
- Audience Discovery — Access complete directories of contact lists and manage segmentations to maintain high-fidelity targeting for your digital outreach
- Operational Monitoring — Access account-level metadata, verified senders, and real-time SMTP delivery statistics for instant operational reporting
The Brevo MCP Server exposes 11 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.
All 11 Brevo tools available for LlamaIndex
When LlamaIndex connects to Brevo through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, transactional-email, contact-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Create a new contact
Create an email campaign
Get Brevo account details
Get details for a specific contact
Get details for a specific list
Get SMTP delivery statistics
List contact lists
List Brevo contacts
List email campaigns
List approved senders
Send a transactional email
Connect Brevo to LlamaIndex via MCP
Follow these steps to wire Brevo into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
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
Example Prompts for Brevo in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Brevo immediately.
"List all active contacts in my Brevo database."
"Send a transactional email to 'test@example.com' with subject 'Order Confirmed'."
"Show my email campaign engagement statistics."
Troubleshooting Brevo MCP Server with LlamaIndex
Common issues when connecting Brevo to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpBrevo + LlamaIndex FAQ
Common questions about integrating Brevo MCP Server with LlamaIndex.