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Vinkius

Lob MCP Server for LangChain 21 tools — connect in under 2 minutes

Built by Vinkius GDPR 21 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Lob through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "lob": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Lob, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Lob
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Lob MCP Server

Lob MCP Server enables AI agents to send physical mail directly from your applications. Create and mail letters, postcards, and checks programmatically through Lob's print and mail API. Verify US and international addresses, autocomplete partial addresses, and manage your address book. Build reusable HTML templates for personalized mailings. Perfect for automating vendor payments, customer communications, marketing campaigns, payroll checks, and direct mail operations. All mail is printed, processed, and delivered within 24 hours via USPS integration.

LangChain's ecosystem of 500+ components combines seamlessly with Lob through native MCP adapters. Connect 21 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

The Lob MCP Server exposes 21 tools through the Vinkius. Connect it to LangChain 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 Lob to LangChain via MCP

Follow these steps to integrate the Lob MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 21 tools from Lob via MCP

Why Use LangChain with the Lob MCP Server

LangChain provides unique advantages when paired with Lob through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents — combine Lob MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Lob queries for multi-turn workflows

Lob + LangChain Use Cases

Practical scenarios where LangChain combined with the Lob MCP Server delivers measurable value.

01

RAG with live data: combine Lob tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Lob, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Lob tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Lob tool call, measure latency, and optimize your agent's performance

Lob MCP Tools for LangChain (21)

These 21 tools become available when you connect Lob to LangChain via MCP:

01

autocomplete_us_address

Autocomplete a partial US address

02

cancel_letter

Only works if status is still "processing". Cancel a letter before it enters production

03

create_address

Requires name and address_line1. Create a new address in your Lob address book

04

create_bank_account

Requires description, routing_number, account_number, account_type (company/individual), and signatory. Add a bank account for sending checks

05

create_check

Requires recipient (to), bank account ID, and amount. Optional: memo, logo, description. Create and mail a physical check through Lob

06

create_letter

Requires recipient (to), sender (from), and file content. Supports HTML templates with merge variables, color options, and mail type selection. Create and mail a physical letter through Lob

07

create_postcard

Requires recipient (to) and front design. Optional: back design, message, merge variables. Create and mail a physical postcard through Lob

08

create_template

Create a reusable HTML template for mailings

09

delete_address

Delete an address from your Lob address book

10

get_address

Get details of a specific address

11

get_check

Get details of a specific check by ID

12

get_letter

Get details of a specific letter by ID

13

get_postcard

Get details of a specific postcard by ID

14

get_template

Get details of a specific template

15

list_addresses

Use optional limit to control result count. List addresses in your Lob address book

16

list_bank_accounts

Use optional limit to control result count. List bank accounts in your Lob account

17

list_checks

Track payments, audit disbursements. List physical checks sent through Lob

18

list_letters

Each letter includes status, tracking number, and expected delivery date. Use optional limit to control result count. List physical letters sent through Lob. Track mailings, check delivery status, and review letter history

19

list_postcards

Use optional limit to control result count. List physical postcards sent through Lob

20

list_templates

List HTML templates for mailings

21

verify_us_address

Verify and standardize a US address

Example Prompts for Lob in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Lob immediately.

01

"Send a letter to John Doe at 123 Main St, New York, NY 10001 with our welcome package HTML template"

02

"Verify if this address is deliverable: 185 Berry St, San Francisco, CA 94107"

03

"Send a $500 check to ABC Consulting for consulting services rendered in March"

Troubleshooting Lob MCP Server with LangChain

Common issues when connecting Lob to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Lob + LangChain FAQ

Common questions about integrating Lob MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Lob to LangChain

Get your token, paste the configuration, and start using 21 tools in under 2 minutes. No API key management needed.