How to Use the LeadsRx MCP in LlamaIndex

Q: How does LlamaIndex index data from the LeadsRx MCP Server?

You load the tools using McpToolSpec and pass them to your agent. When the agent calls getcampaignresults, the output is parsed into text nodes and stored in your vector index.

Q: Can I use LlamaIndex to run semantic search over LeadsRx touchpoints?

Yes, you can. By calling listtouchpoints and indexing the results, your agent can search for patterns in user journeys using natural language queries instead of SQL.

Q: Can I run asynchronous LeadsRx queries within a LlamaIndex RAG pipeline?

Yes, you can use totoollistasync() to load the LeadsRx tools. This keeps your RAG pipeline responsive when fetching large batches of conversion data.

Q: How do I limit which LeadsRx tools the agent can access?

Use the allowedtools filter when initializing the client. You can restrict the agent to only listcampaigns and getcampaignresults if you want to block conversion write access.

Index LeadsRx attribution data into LlamaIndex vector stores to query your marketing performance using natural language.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect LeadsRx MCP to LlamaIndex

Create your Vinkius account to connect LeadsRx 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.

GDPR Free for Subscribers

Setup LeadsRx with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index campaigns into LlamaIndex vector stores

The `list_campaigns` tool retrieves your active marketing campaigns and feeds them directly into your LlamaIndex document pipeline. This transforms raw campaign metadata into searchable index nodes for your RAG system. Your agent queries this index to find specific campaign IDs without making redundant API calls. This saves tokens and accelerates your agent's response time during complex marketing audits.

Query conversion details with semantic search

The `get_conversion_details` tool fetches granular details about specific purchase events to ground your agent's answers. LlamaIndex indexes these details, allowing your RAG application to resolve complex questions about customer behavior. By combining this tool with `list_conversions`, your agent builds a local knowledge base of customer journeys. You get accurate, data-backed answers that completely avoid LLM hallucinations.

Analyze agency relationships via MCP

The `list_agencies` tool pulls the list of your active marketing partners directly into your index. Your LlamaIndex agent cross-references this list with `list_advertisers` to map which agency manages which client account. This structure lets you ask your agent which partner drives the highest return. The system resolves the query by pulling fresh data from the MCP Server and matching it against your indexed touchpoints.

Setup guide

Set up LeadsRx MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 LeadsRx MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 LeadsRx tools.",
)
response = await agent.run("List recent LeadsRx data")

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LeadsRx. 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.

Connect LeadsRx now

Real-time monitoring

Live

visibility into every interaction

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

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LeadsRx MCP in LlamaIndex

You load the tools using `McpToolSpec` and pass them to your agent. When the agent calls `get_campaign_results`, the output is parsed into text nodes and stored in your vector index.

Yes, you can. By calling `list_touchpoints` and indexing the results, your agent can search for patterns in user journeys using natural language queries instead of SQL.

Yes, you can use `to_tool_list_async()` to load the LeadsRx tools. This keeps your RAG pipeline responsive when fetching large batches of conversion data.

Use the `allowed_tools` filter when initializing the client. You can restrict the agent to only `list_campaigns` and `get_campaign_results` if you want to block conversion write access.

Your agency and advertiser lists are protected by Vinkius's zero-trust architecture. All data processing occurs in isolated, ephemeral sandboxes that dissolve immediately after your LlamaIndex query finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript