Lob MCP Server for Pydantic AI 21 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Lob through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Lob "
"(21 tools)."
),
)
result = await agent.run(
"What tools are available in Lob?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every Lob tool response against typed schemas, catching data inconsistencies at build time. Connect 21 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.
The Lob MCP Server exposes 21 tools through the Vinkius. Connect it to Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the Lob MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 21 tools from Lob with type-safe schemas
Why Use Pydantic AI with the Lob MCP Server
Pydantic AI provides unique advantages when paired with Lob through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your Lob integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Lob connection logic from agent behavior for testable, maintainable code
Lob + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Lob MCP Server delivers measurable value.
Type-safe data pipelines: query Lob with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Lob tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Lob and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Lob responses and write comprehensive agent tests
Lob MCP Tools for Pydantic AI (21)
These 21 tools become available when you connect Lob to Pydantic AI via MCP:
autocomplete_us_address
Autocomplete a partial US address
cancel_letter
Only works if status is still "processing". Cancel a letter before it enters production
create_address
Requires name and address_line1. Create a new address in your Lob address book
create_bank_account
Requires description, routing_number, account_number, account_type (company/individual), and signatory. Add a bank account for sending checks
create_check
Requires recipient (to), bank account ID, and amount. Optional: memo, logo, description. Create and mail a physical check through Lob
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
create_postcard
Requires recipient (to) and front design. Optional: back design, message, merge variables. Create and mail a physical postcard through Lob
create_template
Create a reusable HTML template for mailings
delete_address
Delete an address from your Lob address book
get_address
Get details of a specific address
get_check
Get details of a specific check by ID
get_letter
Get details of a specific letter by ID
get_postcard
Get details of a specific postcard by ID
get_template
Get details of a specific template
list_addresses
Use optional limit to control result count. List addresses in your Lob address book
list_bank_accounts
Use optional limit to control result count. List bank accounts in your Lob account
list_checks
Track payments, audit disbursements. List physical checks sent through Lob
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
list_postcards
Use optional limit to control result count. List physical postcards sent through Lob
list_templates
List HTML templates for mailings
verify_us_address
Verify and standardize a US address
Example Prompts for Lob in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Lob immediately.
"Send a letter to John Doe at 123 Main St, New York, NY 10001 with our welcome package HTML template"
"Verify if this address is deliverable: 185 Berry St, San Francisco, CA 94107"
"Send a $500 check to ABC Consulting for consulting services rendered in March"
Troubleshooting Lob MCP Server with Pydantic AI
Common issues when connecting Lob to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiLob + Pydantic AI FAQ
Common questions about integrating Lob MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Lob with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lob to Pydantic AI
Get your token, paste the configuration, and start using 21 tools in under 2 minutes. No API key management needed.
