How to Use the Listrak MCP in LlamaIndex
Index your Listrak customer data directly into LlamaIndex to create knowledge-augmented marketing agents.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Listrak MCP to LlamaIndex
Create your Vinkius account to connect Listrak to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Ground Agents in Listrak Data
LlamaIndex turns the output of `list_sms_contacts` into a searchable vector index. Your agent doesn't just call the API; it understands your current subscriber base. This provides a grounded context for your queries. You get answers based on actual list state rather than generic marketing assumptions.
Query Your Listrak Campaigns
Retrieve historical campaign performance using `list_email_campaigns` and map it to your knowledge base. This lets your agent compare current results against past benchmarks. It makes your RAG pipeline smarter. You query the index for trends and receive responses backed by your specific API data.
Manage Listrak Subscriptions Semantically
Use `subscribe_to_sms_list` as part of a tool-augmented agent workflow. The agent checks the index first to see if the contact exists before taking action. This prevents duplicate entries and ensures your lists stay clean. You are building a system that understands the state of your audience.
Set up Listrak MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Listrak MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Listrak tools.",
)
response = await agent.run("List recent Listrak data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Listrak. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
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Common questions about Listrak MCP in LlamaIndex
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