How to Use the Lob MCP in CrewAI

Q: Can my CrewAI agents coordinate on sending mail?

Absolutely. You can have one agent verify the address with verifyusaddress and another agent perform the createcheck tool call based on that verified data.

Q: Does CrewAI support selective tool exposure for Lob?

Yes. You can use the toolfilter option in the MCP configuration to restrict which tools a specific agent can access.

Deploy autonomous mailing crews with CrewAI. Let specialized agents verify, track, and send physical mail automatically.

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Create your Vinkius account to connect Lob to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Perplexity

Specialized mailing agents

Assign a dedicated agent to handle document fulfillment using `create_postcard` and `create_letter`. By isolating this role, you ensure your main agents focus on analysis. The mailing agent can work sequentially or hierarchically within your crew to ensure every check or letter gets printed.

Automated address verification

Let your research agent verify addresses with `verify_us_address` before handing off to the mailing agent. This prevents errors in your physical correspondence. Your crew can handle the entire lifecycle from validating the data to confirming the final mailing output.

Persistent mail monitoring

Use a monitor agent to periodically check `get_mail_tracking` for your sent items. This agent reports back to your crew if any mail encounters a delivery issue. This keeps your operations running without human intervention, providing updates only when a status changes.

Setup guide

Set up Lob MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Lob tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Lob Analyst",
    goal="Access and analyze Lob data via MCP.",
    backstory="Expert analyst with direct Lob access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Lob transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Lob Analyst",
        goal="Access and analyze Lob data via MCP.",
        backstory="Expert analyst with direct Lob access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lob transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lob. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Lob MCP in CrewAI

You pass the MCP server URL directly into the agent definition in your CrewAI setup. This gives the agent immediate access to the full suite of Lob tools.

Absolutely. You can have one agent verify the address with `verify_us_address` and another agent perform the `create_check` tool call based on that verified data.

Yes. You can use the tool_filter option in the MCP configuration to restrict which tools a specific agent can access.

You can. Agents share memory within the crew, allowing them to pass data like tracking IDs between one another seamlessly.

The server handles address and financial data as transient payloads. Your agents only interact with the tools as needed, ensuring that PII like mailing addresses is not stored unnecessarily within the agent memory.

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