How to Use the Lob MCP in AutoGen
Deploy AutoGen agents to debate and approve physical letters, checks, and postcards before sending them through this MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lob MCP to AutoGen
Create your Vinkius account to connect Lob to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Debate check issuance using AutoGen agents
`create_check` triggers physical financial payouts only after your agents reach a consensus. A budget agent reviews the spending limit while a compliance agent checks the recipient details. This multi-agent debate prevents unauthorized or incorrect checks from being printed via your MCP tools. Once the agents agree, the tool executes the transaction. This consensus-driven approach brings corporate governance to automated physical payments. You get the speed of automation with the safety of peer review.
Collaborative address validation workflows
`verify_us_address` helps your agents resolve delivery issues through conversation. If an address is flagged as invalid, a data-clearing agent suggests corrections. Another agent verifies the suggestion against your CRM records before proceeding. For global deliveries, the agents use `verify_intl_address` and `autocomplete_address` to find the correct format. This collaborative filtering reduces delivery failures on international campaigns. The final verified address is then passed to the mailing tools.
Coordinate multi-agent postcard campaigns
`create_postcard` accepts HTML or PDF designs generated by your creative agents. One agent drafts the promotional copy while another reviews the layout. They iterate on the design before sending the final assets to the print API. You can track the campaign's progress using `get_mail_tracking` and `list_postcards`. A tracking agent monitors delivery status and alerts your sales agents when a card arrives. This coordinates your physical mail with immediate digital follow-ups.
Set up Lob MCP in AutoGen
Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]package - Active Vinkius subscription with a valid endpoint token
- 1
Install AutoGen with MCP
Run
pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includesmcp_server_toolsfor stateless tool access. - 2
Fetch tools from the MCP
Call
mcp_server_tools(SseServerParams(url=...))with your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Run your agent
Pass the tools to
AssistantAgentand callagent.run(). The agent invokes Lob tools and returns structured results.
from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
tools = await mcp_server_tools(server_params)
agent = AssistantAgent(
name="Lob_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
tools=tools,
)
result = await agent.run("List recent Lob data")
print(result.messages[-1].content) Prerequisites
- Python 3.10+ installed
-
autogen-ext[mcp]+autogen-agentchat - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Same packages as above.
McpWorkbenchis ideal when your agent needs stateful sessions across multiple tool calls. - 2
Use McpWorkbench as context manager
Wrap your agent in
async with McpWorkbench(...)to maintain shared state and resources. The workbench manages the full MCP session lifecycle. - 3
Run with workbench
Pass
workbench=workbenchto your agent. State is preserved across multiple tool calls within the same session.
from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient
server_params = SseServerParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
async with McpWorkbench(server_params) as workbench:
agent = AssistantAgent(
name="Lob_assistant",
model_client=OpenAIChatCompletionClient(model="gpt-4o"),
workbench=workbench,
)
result = await agent.run("List recent Lob data")
print(result.messages[-1].content) 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 AutoGen
Use it with your favorite AI tools
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