Brevo MCP Server for Pydantic AIGive Pydantic AI instant access to 11 tools to Create Contact, Create Email Campaign, Get Account, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Brevo through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The Brevo app connector for Pydantic AI 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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Brevo "
"(11 tools)."
),
)
result = await agent.run(
"What tools are available in Brevo?"
)
print(result.data)
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.
Pydantic AI validates every Brevo tool response against typed schemas, catching data inconsistencies at build time. Connect 11 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI
When Pydantic AI 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 Pydantic AI via MCP
Follow these steps to wire Brevo into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the Brevo MCP Server
Pydantic AI provides unique advantages when paired with Brevo through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Brevo integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Brevo connection logic from agent behavior for testable, maintainable code
Brevo + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Brevo MCP Server delivers measurable value.
Type-safe data pipelines: query Brevo with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Brevo tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Brevo and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Brevo responses and write comprehensive agent tests
Example Prompts for Brevo in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting Brevo to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiBrevo + Pydantic AI FAQ
Common questions about integrating Brevo MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.