How do I get my Poplar Access Token?

Log in to your Poplar account and navigate to the **API Settings** or **Developer** section. You will find your Access Token there. Use a Test Token for development and a Production Token for live mailings.

Can I standardize non-US addresses?

No, Poplar's address standardization service is specifically designed for US addresses only. For international mailing, ensure your addresses are pre-formatted correctly.

How can I check if a mailer has been delivered?

Use the `get_mailer_status` tool with the unique mailer ID. It will return the current status, including production phases and the final USPS delivery confirmation when available.

Is the integration secure for customer addresses?

Absolutely. The integration uses official Poplar Bearer tokens over HTTPS. Your credentials and customer data are encrypted and stored securely within the Vinkius Cloud infrastructure.

Poplar MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Poplar
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

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

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

Connect your Poplar account to any AI agent and take full control of your programmatic direct mail and physical outreach through natural conversation.

Pydantic AI validates every Poplar 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

Trigger Mailers — Automatically send physical postcards or letters by providing a campaign ID and recipient details.
Address Standardization — Clean and verify US mailing addresses using Poplar's specialized standardization service.
Audience Management — List all mailing audiences and add new members via email or physical address.
Suppression Control — Add recipients to the global 'Do Not Mail' list to manage opt-outs and compliance.
Campaign Visibility — List all active direct mail campaigns and inspect available creatives.
Delivery Tracking — Monitor the production and delivery status of specific mail pieces in real-time.
Attribution Reporting — Submit customer orders back to Poplar to track the ROI of your physical mail campaigns.

The Poplar 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.

How to Connect Poplar to Pydantic AI via MCP

Follow these steps to integrate the Poplar 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 11 tools from Poplar with type-safe schemas

Why Use Pydantic AI with the Poplar MCP Server

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

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

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

Poplar + Pydantic AI Use Cases

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

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

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

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

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

Poplar MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Poplar to Pydantic AI via MCP:

add_to_audience

Add a recipient to a specific audience list

add_to_suppression_list

Add a recipient to the global "Do Not Mail" list

get_api_profile

Get information about the authenticated account

get_mailer_status

Check the production and delivery status of a specific mailer

list_audiences

List all mailing audiences in your account

list_billing_history

List account billing and invoice data

list_mail_creatives

List all uploaded mailer designs/creatives

list_marketing_campaigns

List all direct mail campaigns

report_transaction

Report a customer order back to Poplar for attribution tracking

standardize_us_address

Pass fields like address_line1, city, state, postal_code. Clean and standardize a US mailing address

trigger_physical_mailer

Requires "campaign_id" and "recipient_json" (address details). Optional "merge_tags_json" for dynamic content. Trigger a physical mailer (postcard, letter) for a campaign

Example Prompts for Poplar in Pydantic AI

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

"Send a postcard to Jane Doe using campaign ID 'camp_123'."

"Standardize this address: 123 main st, nyc, ny 10001."

"List all active audiences and find 'Holiday VIPs'."

Troubleshooting Poplar MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Poplar + Pydantic AI FAQ

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