Listrak 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 Listrak as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Listrak. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Listrak?"
)
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 Listrak MCP Server
Connect your Listrak account to any AI agent to automate your cross-channel marketing and transactional messaging. This MCP server enables your agent to manage email and SMS campaigns, interact with contact profiles, and trigger immediate broadcasts directly from natural language interfaces using OAuth 2.0.
LlamaIndex agents combine Listrak 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
- Email Campaign Management — List all active and historical email campaigns to monitor your marketing objectives
- SMS Engagement — List, create, and manage SMS contacts, and subscribe users to specific phone-based lists
- Transactional Messaging — Trigger pre-defined transactional emails instantly for order confirmations, alerts, or notifications
- Instant Broadcasts — Send immediate SMS broadcast messages to your audience using your configured sender codes
- Contact Insights — Retrieve detailed profile information for email contacts across your organizational lists
- Database Maintenance — Create new SMS profiles and manage cross-channel subscriptions effortlessly
The Listrak 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 Listrak to LlamaIndex via MCP
Follow these steps to integrate the Listrak 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 Listrak
Why Use LlamaIndex with the Listrak MCP Server
LlamaIndex provides unique advantages when paired with Listrak through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Listrak tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Listrak tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Listrak, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Listrak tools were called, what data was returned, and how it influenced the final answer
Listrak + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Listrak MCP Server delivers measurable value.
Hybrid search: combine Listrak real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Listrak 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 Listrak for fresh data
Analytical workflows: chain Listrak queries with LlamaIndex's data connectors to build multi-source analytical reports
Listrak MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Listrak to LlamaIndex via MCP:
create_sms_contact
Add a new SMS contact
get_email_contact_details
Get details for a specific email contact
list_email_campaigns
List all email campaigns
list_sms_contacts
List SMS contacts
send_sms_broadcast
Send an immediate SMS broadcast
send_transactional_email
Requires messageId and recipient data. Send a transactional email
subscribe_to_sms_list
Subscribe a contact to an SMS list
Example Prompts for Listrak in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Listrak immediately.
"List all my current email campaigns in Listrak."
"Send a transactional email (Message ID: '987') to 'user@example.com'."
"Subscribe the phone number '+15550199' to SMS list '555'."
Troubleshooting Listrak MCP Server with LlamaIndex
Common issues when connecting Listrak to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpListrak + LlamaIndex FAQ
Common questions about integrating Listrak 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 Listrak with your favorite client
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Python SDK for building production-grade OpenAI agent workflows.
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TypeScript toolkit for building AI-powered web applications.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Listrak to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.