How do I find my List UID or Campaign UID?

You can retrieve all UIDs by using the `list_subscriber_lists` or `list_email_campaigns` tools. They are also visible in the URL when viewing these resources in the Mail Blaze dashboard.

Can I add custom fields when subscribing a user?

Yes, include your custom field values within the `subscriber_json` object when using the `add_subscriber_to_list` tool.

Is there a limit to the number of subscribers I can retrieve?

The API uses pagination. The `list_list_subscribers` tool retrieves the first page of results (up to 100 records by default).

Mail Blaze MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: Mail Blaze
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Mail Blaze 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 Mail Blaze "
            "(9 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Mail Blaze?"
    )
    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 Mail Blaze MCP Server

Connect your Mail Blaze account to any AI agent to automate your email marketing and audience management. This MCP server enables your agent to manage subscriber lists, create and send campaigns, and track subscriber updates directly from natural language interfaces.

Pydantic AI validates every Mail Blaze tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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

Campaign Management — List all email campaigns and retrieve detailed metadata and status information
Instant Sending — Trigger the delivery of existing campaigns to your targeted lists instantly
List Oversight — Manage subscriber lists and retrieve their unique identifiers for grouping
Subscriber Control — Add, update, and remove subscribers from specific lists while managing custom fields
Draft Creation — Initialize new campaign drafts directly from your conversation to streamline your marketing workflow

The Mail Blaze MCP Server exposes 9 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 Mail Blaze to Pydantic AI via MCP

Follow these steps to integrate the Mail Blaze 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 9 tools from Mail Blaze with type-safe schemas

Why Use Pydantic AI with the Mail Blaze MCP Server

Pydantic AI provides unique advantages when paired with Mail Blaze 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 Mail Blaze integration code

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

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

Mail Blaze + Pydantic AI Use Cases

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

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

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

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

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

Mail Blaze MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect Mail Blaze to Pydantic AI via MCP:

add_subscriber_to_list

Requires a list UID and subscriber data. Add a new subscriber to a list

create_new_campaign

Requires a JSON body with campaign details. Create a new email marketing campaign

delete_list_subscriber

Remove a subscriber from a list

get_campaign_details

Get details for a specific campaign

list_email_campaigns

List all email marketing campaigns

list_list_subscribers

List subscribers in a specific list

list_subscriber_lists

List all subscriber lists

send_email_campaign

Trigger the sending of a campaign

update_list_subscriber

Update an existing subscriber

Example Prompts for Mail Blaze in Pydantic AI

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

"List all active email campaigns in Mail Blaze."

"Add 'user@example.com' to my 'Main Leads' list (UID: 'lz987xyz')."

"Send the email campaign with UID 'cp456def'."

Troubleshooting Mail Blaze MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Mail Blaze + Pydantic AI FAQ

Common questions about integrating Mail Blaze 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 Mail Blaze MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.