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 CrewAI 11 tools — connect in under 2 minutes

Name: Poplar
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Poplar through Vinkius, pass the Edge URL in the `mcps` parameter and every Poplar tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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

from crewai import Agent, Task, Crew

agent = Agent(
    role="Poplar Specialist",
    goal="Help users interact with Poplar effectively",
    backstory=(
        "You are an expert at leveraging Poplar tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Poplar "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, Poplar becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Poplar tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 11 tools from Poplar

Why Use CrewAI with the Poplar MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Poplar through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Poplar + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Poplar for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Poplar, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Poplar tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Poplar against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Poplar MCP Tools for CrewAI (11)

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

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Poplar + CrewAI FAQ

Common questions about integrating Poplar MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.