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 LlamaIndex 11 tools — connect in under 2 minutes

Name: Poplar
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 11 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Poplar as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Poplar. "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Poplar?"
    )
    print(response)

asyncio.run(main())

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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.

LlamaIndex agents combine Poplar tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

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

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

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

Why Use LlamaIndex with the Poplar MCP Server

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

Data-first architecture: LlamaIndex agents combine Poplar tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Poplar tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Poplar, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Poplar tools were called, what data was returned, and how it influenced the final answer

Poplar + LlamaIndex Use Cases

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

Hybrid search: combine Poplar real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Poplar to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Poplar for fresh data

Analytical workflows: chain Poplar queries with LlamaIndex's data connectors to build multi-source analytical reports

Poplar MCP Tools for LlamaIndex (11)

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

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

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Poplar + LlamaIndex FAQ

Common questions about integrating Poplar MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Poplar tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.