Bring Sms Marketing
to LangChain
Learn how to connect Brevo to LangChain and start using 11 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Subscribe to this server
2. Retrieve your API Key (v3) from your Brevo dashboard (SMTP & API settings)
3. Start managing your communication pipeline from Claude, Cursor, or any MCP client
No more manual toggling between campaign tables or digging through SMTP logs. Your AI acts as your dedicated CRM and marketing operations coordinator.
Who is this for?
- Digital Marketers — instantly retrieve campaign engagement metrics and update contact lists using natural language commands
- Growth Teams — automate the ingestion of new leads and monitor transactional email health without leaving your workspace
- Developers — integrate high-speed email marketing and SMTP features into custom workflows through simple AI queries
Built-in capabilities (11)
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
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Brevo through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
- —
The largest ecosystem of integrations, chains, and agents. combine Brevo MCP tools with 500+ LangChain components
- —
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
- —
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
- —
Memory and conversation persistence let agents maintain context across Brevo queries for multi-turn workflows
Brevo in LangChain
Brevo and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Brevo to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Brevo in LangChain
The Brevo 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. All 11 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Brevo for LangChain
Every tool call from LangChain to the Brevo MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Brevo API Key?
Log in to your account, navigate to Settings > SMTP & API, and generate a new v3 API Key.
Can I send transactional emails via AI?
Yes! The send_email tool allows your agent to dispatch single SMTP messages by providing sender and recipient details programmatically.
How do I check SMTP delivery statistics?
Use the get_smtp_statistics tool to retrieve high-fidelity reports on transactional email performance directly from the platform.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters