Can I add a new contact to a specific brand using the agent?

Yes! Use the `add_contact` action with the Brand ID and contact details. Your agent will register or update the subscriber in BigMailer instantly.

How do I list all the email lists for a particular brand?

Simply ask the agent to `list_contact_lists` and provide the Brand ID. It will retrieve all the mailing lists associated with that brand.

Does the integration allow me to see the statistics of my bulk campaigns?

Yes. Use the `get_bulk_campaign` tool with the Brand ID and Campaign ID to retrieve performance data and metadata for your marketing efforts.

BigMailer MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: BigMailer
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect BigMailer through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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 BigMailer "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in BigMailer?"
    )
    print(result.data)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 BigMailer MCP Server

Connect your BigMailer account to any AI agent and orchestrate your email marketing workflows across multiple brands through natural conversation.

Pydantic AI validates every BigMailer tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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

Brand Management — List and retrieve details for all brands managed within your BigMailer account.
Contact & List Oversight — Manage your mailing lists and add or update contacts instantly.
Bulk Campaign Tracking — List and inspect all bulk email campaigns to monitor your marketing reach.
Template Discovery — Access and list your saved email templates for consistent brand messaging.
Property Management — Retrieve custom brand properties and merge tags for personalized campaigns.
Performance Auditing — Get detailed status updates for your outgoing marketing efforts.

The BigMailer MCP Server exposes 10 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.

How to Connect BigMailer to Pydantic AI via MCP

Follow these steps to integrate the BigMailer MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from BigMailer with type-safe schemas

Why Use Pydantic AI with the BigMailer MCP Server

Pydantic AI provides unique advantages when paired with BigMailer 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 BigMailer integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your BigMailer connection logic from agent behavior for testable, maintainable code

BigMailer + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the BigMailer MCP Server delivers measurable value.

Type-safe data pipelines: query BigMailer with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple BigMailer tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query BigMailer and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock BigMailer responses and write comprehensive agent tests

BigMailer MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect BigMailer to Pydantic AI via MCP:

add_contact

Add or update a contact in a brand

get_brand

Get specific brand details

get_brand_properties

List custom properties for a brand

get_bulk_campaign

Get specific bulk campaign details

get_contact_list

Get specific contact list details

list_brands

List all brands in the account

list_bulk_campaigns

List bulk campaigns for a brand

list_contact_lists

List contact lists for a brand

list_contacts

List contacts for a brand

list_templates

List email templates for a brand

Example Prompts for BigMailer in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with BigMailer immediately.

"List all brands in my BigMailer account."

"Add a new contact to brand b_123: alice@example.com, Alice Smith."

"Show my recent bulk campaigns for brand b_456."

Troubleshooting BigMailer MCP Server with Pydantic AI

Common issues when connecting BigMailer to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

BigMailer + Pydantic AI FAQ

Common questions about integrating BigMailer MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your BigMailer MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.