How to Use the Lob MCP in CrewAI

Q: Can I filter which tools CrewAI uses?

You can use the toolfilter option to limit agents to specific operations, like only allowing a 'Sender' agent to access createpostcard.

Q: What if my address list is huge?

You use listaddresses with a limit to process your database in chunks. This prevents memory issues and keeps your autonomous crews running smoothly.

Deploy specialized mailing crews with Lob and CrewAI for autonomous operations.

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Connect Lob MCP to CrewAI

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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Setup Lob with CrewAI

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Autonomous mailing crews with CrewAI

Set up a research agent to find addresses and a separate mailing agent to execute the job. The `create_letter` tool provides the action for your crew to finish the task. This keeps your operations running without you needing to press a button. The agents handle the coordination and the output.

Monitor mail delivery with CrewAI

Assign a monitor agent to watch your mail status. By calling `list_letters` periodically, the agent can report back on tracking IDs and any expected delivery delays. It provides a persistent eye on your physical logistics. If something is delayed, the agent can alert you or initiate a follow-up.

Standardize mailing data for CrewAI

Your processing agents can use `autocomplete_us_address` to clean up messy data. This ensures your crew always sends mail to the correct, verified location. It removes the ambiguity from your physical mailing list. The agent does the heavy lifting to keep your records consistent.

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

Yes, you configure the MCP server for the agents that need it. Each agent in your crew can then use the available tools to complete their specific assigned role.

You provide the server URL in your agent definition. Once connected, your CrewAI agents gain access to the full Lob toolset for automated mail generation.

The server uses a single endpoint token for all communication. Your address data remains behind this authentication layer, ensuring your private information stays private.

You can use the tool_filter option to limit agents to specific operations, like only allowing a 'Sender' agent to access `create_postcard`.

You use `list_addresses` with a limit to process your database in chunks. This prevents memory issues and keeps your autonomous crews running smoothly.

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