Integrate Brevo with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate contact list on Brevo
Create a new empty audience list folder for organizing campaigns in Brevo
Create crm contact on Brevo
Create a new contact record within the Brevo CRM
Delete crm contact on Brevo
Permanently delete a CRM contact profile conforming to database compliance
Get contact attributes on Brevo
Retrieve specific profile attributes and metadata for a given contact email
Get smtp account details on Brevo
Retrieve the current Brevo account status, plans, and quota mappings
List contact folders on Brevo
Retrieve all contact lists and campaign segments structured in the CRM
List crm contacts on Brevo
List all contacts stored in the Brevo CRM
Send transactional email on Brevo
Needs absolute mapped verified domains to avoid DKIM failure bouncing. Send a transactional email payload via the Brevo SMTP API
Send transactional sms on Brevo
164 phone formats via `/transactionalSMS/sms` successfully bypassing web clients. Dispatch an automated transactional SMS directly to cellular hardware
Update contact attributes on Brevo
Update custom attributes or metadata parameters for a specific CRM contact
Security & Code Integrity Audit
Every tool in the Brevo MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
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.
What can AI Agents do with Brevo?
Integrate Brevo to provide your custom AI agents with direct read and write access to the capabilities listed below.
Autonomous transactional email Strategies
Integrate Brevo to access native transactional email capabilities. This allows LLMs to perform secure, deterministic execution of growth engine tasks without hard-coded API scripts.
Cursor Copilot for sms marketing
Use Brevo to interface with sms marketing via natural language. The toolkit provides Cursor with LLM-friendly schemas for growth engine tasks.
Brevo. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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