# How to integrate Brevo MCP with Pydantic AI ```json { "title": "How to integrate Brevo MCP with Pydantic AI", "toolkit": "Brevo", "toolkit_slug": "brevo", "framework": "Pydantic AI", "framework_slug": "pydantic-ai", "url": "https://composio.dev/toolkits/brevo/framework/pydantic-ai", "markdown_url": "https://composio.dev/toolkits/brevo/framework/pydantic-ai.md", "updated_at": "2026-05-12T10:04:03.619Z" } ``` ## Introduction This guide walks you through connecting Brevo to Pydantic AI using the Composio tool router. By the end, you'll have a working Brevo agent that can send sms campaign to new subscribers, create or update an email template, find contact details by email address through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Brevo account through Composio's Brevo MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Brevo with - [OpenAI Agents SDK](https://composio.dev/toolkits/brevo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/brevo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/brevo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/brevo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/brevo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/brevo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/brevo/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/brevo/framework/cli) - [Google ADK](https://composio.dev/toolkits/brevo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/brevo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/brevo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/brevo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/brevo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/brevo/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up your Composio API key and User ID - How to create a Composio Tool Router session for Brevo - How to attach an MCP Server to a Pydantic AI agent - How to stream responses and maintain chat history - How to build a simple REPL-style chat interface to test your Brevo workflows ## What is Pydantic AI? Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications. Key features include: - Type Safety: Built on Pydantic for automatic data validation - MCP Support: Native support for Model Context Protocol servers - Streaming: Built-in support for streaming responses - Async First: Designed for async/await patterns ## What is the Brevo MCP server, and what's possible with it? The Brevo MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Brevo account. It provides structured and secure access to your email, SMS marketing, automation, and contact management tools, so your agent can perform actions like sending campaigns, managing contacts, creating templates, and retrieving account details on your behalf. - Automated campaign management: Let your agent create, schedule, or delete SMS campaigns, including customizing recipients, sender details, and campaign content. - Contact and company management: Easily add new contacts or companies, update existing records, or remove outdated ones to keep your database organized and up to date. - Email template automation: Empower your agent to create, update, or delete email templates for consistent and efficient campaign design and execution. - Account information retrieval: Ask your agent to fetch detailed account information, including plan details, credits, and profile data, for easy monitoring and reporting. - Contact search and segmentation: Have your agent search for specific contacts or retrieve segmented contact lists based on filters like creation date, list IDs, or attributes. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `BREVO_CREATE_A_COMPANY` | Create a company | Creates a new company record in your Brevo CRM. Companies can be used to organize contacts and deals, track business relationships, and manage customer accounts. You can add custom attributes, link existing contacts and deals, and set country codes for international phone numbers. Use this when you need to add a new business or organization to your CRM system. | | `BREVO_CREATE_CONTACT_LIST` | Create Contact List | Creates a new contact list (audience) in Brevo within a specified folder. Contact lists are used to organize and segment contacts for email campaigns, SMS campaigns, and marketing automation workflows. Use this tool when you need to: - Create a new audience segment for a marketing campaign - Organize contacts by specific criteria (e.g., geographic location, interests, purchase history) - Set up a list for newsletter subscribers, event attendees, or customer segments - Prepare a target audience before adding contacts or launching campaigns Note: You must specify a valid folder ID. Use Get Contact Lists to view existing folders and their IDs. | | `BREVO_CREATE_OR_UPDATE_EMAIL_TEMPLATE` | Create or Update Email Template | This tool creates a new email template or updates an existing one in Brevo. If a 'templateId' is provided, it performs an update; otherwise, it creates a new template. | | `BREVO_CREATE_SMS_CAMPAIGN` | Create SMS Campaign | This tool allows you to create a new SMS campaign in Brevo. You can specify the campaign name, sender, content, recipients (by providing list IDs, exclusion list IDs, or segment IDs), and optionally schedule the campaign for a specific time. You can also enable Unicode characters, add an organization prefix, and include unsubscribe instructions. | | `BREVO_DELETE_COMPANY` | Delete a company | Deletes a company from Brevo using its unique identifier. | | `BREVO_DELETE_CONTACT` | Delete Contact | Deletes a contact from Brevo by email, contact ID, external ID, phone number, WhatsApp ID, or landline number. Use the identifier_type parameter to specify the type of identifier when using ext_id, phone_id, whatsapp_id, or landline_number_id. | | `BREVO_DELETE_EMAIL_TEMPLATE` | Delete Email Template | This tool deletes an inactive email template from Brevo. You need to provide the 'templateId' of the email template you want to delete. Only inactive templates can be deleted. | | `BREVO_DELETE_SMS_CAMPAIGN` | Delete SMS Campaign | This tool deletes an existing SMS campaign. | | `BREVO_GET_ACCOUNT_INFO` | Get Account Information | Retrieves comprehensive information about the authenticated Brevo account. Returns account details including: - Account holder information (email, first name, last name, company name) - Complete address (street, city, zip code, country) - Plan details with credit information (type, credits remaining, start/end dates) - Relay configuration for transactional emails (enabled status and data) - Marketing Automation status and tracker key (if enabled) No input parameters are required - the action uses the authenticated account's credentials. Use this action to: - Verify account configuration and settings - Check available credits and plan type - Monitor transactional email relay status - Retrieve Marketing Automation tracker information. If credentials are missing or invalid, verify the Brevo connection is active before calling — retries will not resolve credential issues. If blocked by an 'unrecognised IP address' error, add the integration host's IP to the Brevo account allowlist. | | `BREVO_GET_ALL_CONTACTS` | Get all contacts | This tool retrieves all contacts from your Brevo account with pagination and filtering based on modification/creation dates, list IDs, segment IDs, and contact attributes. For complete retrieval, iterate pages by incrementing `offset` by `limit` on each call until no more records are returned; a single call returns at most `limit` contacts. | | `BREVO_GET_ALL_EMAIL_TEMPLATES` | Get all email templates | This tool retrieves a list of all email templates created in your Brevo account. It corresponds to the GET /v3/smtp/templates endpoint as per the Brevo API documentation, with optional parameters for filtering (templateStatus), pagination (limit, offset), and sorting (asc/desc). | | `BREVO_GET_ALL_SENDERS` | Get All Senders | This tool retrieves a list of all senders associated with the Brevo account. Senders are the email addresses or domains that are authorized to send emails through Brevo. This action can be useful for managing and verifying sender identities. | | `BREVO_GET_COMPANY_DETAILS` | Get Company Details | Retrieves detailed information about a specific company from Brevo's CRM. Returns company data including its unique identifier, custom attributes, and lists of linked contact IDs and deal IDs. This is useful for accessing comprehensive company records and understanding company relationships. | | `BREVO_GET_CONTACT_DETAILS` | Get Contact Details | This tool retrieves detailed information about a specific contact in Brevo. You can identify the contact using their email address (URL-encoded), their unique contact ID, or their SMS attribute value. | | `BREVO_GET_CONTACT_LISTS` | Get contact lists | Retrieves all contact lists from your Brevo account with pagination support. Returns list IDs, names, subscriber counts, and folder associations. Use this to discover available lists or obtain list IDs needed for other operations (e.g., SMS campaigns, adding contacts to lists). | | `BREVO_GET_EMAIL_CAMPAIGN_DETAILS` | Get Email Campaign Details | Tool to retrieve full configuration and content for a specific email campaign. Use when you need complete campaign details including HTML content, recipients, statistics, and all configuration settings that may be omitted from list responses. | | `BREVO_GET_SMS_CAMPAIGN_DETAILS` | Get SMS Campaign Details | Retrieves the details of a specific SMS campaign. This action fetches complete information about an SMS campaign including its status, content, sender, scheduling, recipients, and statistics. | | `BREVO_GET_SMS_CAMPAIGNS` | Get SMS Campaigns | Retrieves all SMS campaigns from your Brevo account with optional filtering and pagination. Use this tool to: - List all SMS campaigns with their details (name, status, content, sender, dates) - Filter campaigns by status (sent, draft, queued, suspended, inProcess, archive) - Filter sent campaigns by date range - Control pagination with limit and offset - Sort results by creation date (ascending or descending) Returns campaign overview information including ID, name, status, content, sender, scheduled date (if any), and creation/modification timestamps. | | `BREVO_LIST_ALL_COMPANIES` | List All Companies | This action retrieves a list of all companies stored in the Brevo CRM. It supports pagination and filtering by name and other attributes. | | `BREVO_LIST_EMAIL_CAMPAIGNS` | List Email Campaigns | This tool retrieves a list of all email campaigns associated with the user's Brevo account. It allows filtering by campaign type, status, start date, and end date. The response includes the total count of campaigns and an array of campaign objects, each containing details like ID, name, subject, type, status, scheduled date/time, sender information, and optionally, campaign statistics. A response with `count` of 0 and an empty campaigns array is a valid result, not an error. | | `BREVO_UPDATE_EMAIL_CAMPAIGN` | Update Email Campaign | Updates an email campaign in Brevo using its unique identifier. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Brevo MCP server is an implementation of the Model Context Protocol that connects your AI agent to Brevo. It provides structured and secure access so your agent can perform Brevo operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Python 3.9 or higher - A Composio account with an active API key - Basic familiarity with Python and async programming ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. You'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install dependencies Install the required libraries. What's happening: - composio connects your agent to external SaaS tools like Brevo - pydantic-ai lets you create structured AI agents with tool support - python-dotenv loads your environment variables securely from a .env file ```bash pip install composio pydantic-ai python-dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your agent to Composio's API - USER_ID associates your session with your account for secure tool access - OPENAI_API_KEY to access OpenAI LLMs ```bash COMPOSIO_API_KEY=your_composio_api_key_here USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key ``` ### 4. Import dependencies What's happening: - We load environment variables and import required modules - Composio manages connections to Brevo - MCPServerStreamableHTTP connects to the Brevo MCP server endpoint - Agent from Pydantic AI lets you define and run the AI assistant ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() ``` ### 5. Create a Tool Router Session What's happening: - We're creating a Tool Router session that gives your agent access to Brevo tools - The create method takes the user ID and specifies which toolkits should be available - The returned session.mcp.url is the MCP server URL that your agent will use ```python async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Brevo composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["brevo"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") ``` ### 6. Initialize the Pydantic AI Agent What's happening: - The MCP client connects to the Brevo endpoint - The agent uses GPT-5 to interpret user commands and perform Brevo operations - The instructions field defines the agent's role and behavior ```python # Attach the MCP server to a Pydantic AI Agent brevo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[brevo_mcp], instructions=( "You are a Brevo assistant. Use Brevo tools to help users " "with their requests. Ask clarifying questions when needed." ), ) ``` ### 7. Build the chat interface What's happening: - The agent reads input from the terminal and streams its response - Brevo API calls happen automatically under the hood - The model keeps conversation history to maintain context across turns ```python # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Brevo.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() ``` ### 8. Run the application What's happening: - The asyncio loop launches the agent and keeps it running until you exit ```python if __name__ == "__main__": asyncio.run(main()) ``` ## Complete Code ```python import asyncio import os from dotenv import load_dotenv from composio import Composio from pydantic_ai import Agent from pydantic_ai.mcp import MCPServerStreamableHTTP load_dotenv() async def main(): api_key = os.getenv("COMPOSIO_API_KEY") user_id = os.getenv("USER_ID") if not api_key or not user_id: raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment") # Create a Composio Tool Router session for Brevo composio = Composio(api_key=api_key) session = composio.create( user_id=user_id, toolkits=["brevo"], ) url = session.mcp.url if not url: raise ValueError("Composio session did not return an MCP URL") # Attach the MCP server to a Pydantic AI Agent brevo_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY}) agent = Agent( "openai:gpt-5", toolsets=[brevo_mcp], instructions=( "You are a Brevo assistant. Use Brevo tools to help users " "with their requests. Ask clarifying questions when needed." ), ) # Simple REPL with message history history = [] print("Chat started! Type 'exit' or 'quit' to end.\n") print("Try asking the agent to help you with Brevo.\n") while True: user_input = input("You: ").strip() if user_input.lower() in {"exit", "quit", "bye"}: print("\nGoodbye!") break if not user_input: continue print("\nAgent is thinking...\n", flush=True) async with agent.run_stream(user_input, message_history=history) as stream_result: collected_text = "" async for chunk in stream_result.stream_output(): text_piece = None if isinstance(chunk, str): text_piece = chunk elif hasattr(chunk, "delta") and isinstance(chunk.delta, str): text_piece = chunk.delta elif hasattr(chunk, "text"): text_piece = chunk.text if text_piece: collected_text += text_piece result = stream_result print(f"Agent: {collected_text}\n") history = result.all_messages() if __name__ == "__main__": asyncio.run(main()) ``` ## Conclusion You've built a Pydantic AI agent that can interact with Brevo through Composio's Tool Router. With this setup, your agent can perform real Brevo actions through natural language. You can extend this further by: - Adding other toolkits like Gmail, HubSpot, or Salesforce - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Brevo for workflow automation) This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations. ## How to build Brevo MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/brevo/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/brevo/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/brevo/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/brevo/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/brevo/framework/codex) - [OpenClaw](https://composio.dev/toolkits/brevo/framework/openclaw) - [Hermes](https://composio.dev/toolkits/brevo/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/brevo/framework/cli) - [Google ADK](https://composio.dev/toolkits/brevo/framework/google-adk) - [LangChain](https://composio.dev/toolkits/brevo/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/brevo/framework/ai-sdk) - [Mastra AI](https://composio.dev/toolkits/brevo/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/brevo/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/brevo/framework/crew-ai) ## Related Toolkits - [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing. - [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages. - [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections. - [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach. - [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease. - [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic. - [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns. - [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active. - [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place. - [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES. - [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere. - [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools. - [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes. - [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management. - [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals. - [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams. - [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience. - [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs. - [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics. - [Doppler marketing automation](https://composio.dev/toolkits/doppler_marketing_automation) - Doppler marketing automation is a platform for creating, sending, and tracking email campaigns. It helps you automate marketing workflows and manage subscriber lists for better engagement. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Brevo MCP? With a standalone Brevo MCP server, the agents and LLMs can only access a fixed set of Brevo tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Brevo and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Pydantic AI? Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Brevo tools. ### Can I manage the permissions and scopes for Brevo while using Tool Router? Yes, absolutely. You can configure which Brevo scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Brevo data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)