Lob MCP Server for LlamaIndex 21 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Lob as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Lob. "
"You have 21 tools available."
),
)
response = await agent.run(
"What tools are available in Lob?"
)
print(response)
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.
LlamaIndex agents combine Lob tool responses with indexed documents for comprehensive, grounded answers. Connect 21 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
The Lob MCP Server exposes 21 tools through the Vinkius. Connect it to LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Lob MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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
Why Use LlamaIndex with the Lob MCP Server
LlamaIndex provides unique advantages when paired with Lob through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Lob tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Lob tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Lob, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Lob tools were called, what data was returned, and how it influenced the final answer
Lob + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Lob MCP Server delivers measurable value.
Hybrid search: combine Lob real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Lob to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Lob for fresh data
Analytical workflows: chain Lob queries with LlamaIndex's data connectors to build multi-source analytical reports
Lob MCP Tools for LlamaIndex (21)
These 21 tools become available when you connect Lob to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Lob to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLob + LlamaIndex FAQ
Common questions about integrating Lob MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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 LlamaIndex
Get your token, paste the configuration, and start using 21 tools in under 2 minutes. No API key management needed.
