Smarty MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Smarty as an MCP tool provider through 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 Smarty. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Smarty?"
)
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 Smarty MCP Server
Connect your Smarty account to any AI agent and empower your team to sanitize raw address data, query ZIP codes, and format global street locations securely. Interact with powerful geospatial and mailing validation APIs through natural language without writing a single line of custom script.
LlamaIndex agents combine Smarty tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Address Validation (USA/Intl) — Effortlessly clean and verify messy user inputs calling
validate_us_address, returning the Delivery Point Validation (DPV) - Text Extraction — Feed your AI unformatted text like emails or notes and run
extract_addressesto intelligently isolate real physical addresses - Autocompletion Tests — Interrogate the AI dynamically with partial street names using the
autocomplete_us_addressalgorithm - ZIP Code Checks — Validate specific 5-digit postal zones using
verify_zip_codeto retrieve associated municipal limits
The Smarty MCP Server exposes 7 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 Smarty to LlamaIndex via MCP
Follow these steps to integrate the Smarty 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 7 tools from Smarty
Why Use LlamaIndex with the Smarty MCP Server
LlamaIndex provides unique advantages when paired with Smarty through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Smarty tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Smarty tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Smarty, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Smarty tools were called, what data was returned, and how it influenced the final answer
Smarty + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Smarty MCP Server delivers measurable value.
Hybrid search: combine Smarty real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Smarty 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 Smarty for fresh data
Analytical workflows: chain Smarty queries with LlamaIndex's data connectors to build multi-source analytical reports
Smarty MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Smarty to LlamaIndex via MCP:
autocomplete_intl_address
Predictive autocomplete for international addresses
autocomplete_us_address
Predictive autocomplete for US addresses
extract_addresses
g., emails, documents) and find valid addresses. Extracts physical addresses from raw text
get_account_info
Retrieves Smarty account information
validate_intl_address
Requires at least the address line and country. Validates and geocodes an international street address
validate_us_address
Returns delivery point validation (DPV) status and coordinates. Validates and geocodes a US street address
verify_zip_code
Verifies a ZIP code and returns associated cities and states
Example Prompts for Smarty in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Smarty immediately.
"Validate this US address: 1 Santa Claus Ln, North Pole, AK 99705."
"Can you extract any known addresses from this raw text string: "I live out near the big oak tree at 1600 Amphitheatre Pkwy, Mountain View, CA 94043, come visit soon!""
"Provide a markdown list of US autocomplete suggestions when a user types "3311 w 300 s s"."
Troubleshooting Smarty MCP Server with LlamaIndex
Common issues when connecting Smarty to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSmarty + LlamaIndex FAQ
Common questions about integrating Smarty 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 Smarty 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 Smarty to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.