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 LangChain 11 tools — connect in under 2 minutes

Name: Poplar
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Poplar through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "poplar": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Poplar, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

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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.

LangChain's ecosystem of 500+ components combines seamlessly with Poplar through native MCP adapters. Connect 11 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Poplar MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 11 tools from Poplar via MCP

Why Use LangChain with the Poplar MCP Server

LangChain provides unique advantages when paired with Poplar through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Poplar MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Poplar queries for multi-turn workflows

Poplar + LangChain Use Cases

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

RAG with live data: combine Poplar tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Poplar, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Poplar tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Poplar tool call, measure latency, and optimize your agent's performance

Poplar MCP Tools for LangChain (11)

These 11 tools become available when you connect Poplar to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Poplar + LangChain FAQ

Common questions about integrating Poplar MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.