LeadsRx MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add LeadsRx 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 LeadsRx. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in LeadsRx?"
)
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 LeadsRx MCP Server
Connect your LeadsRx account to your AI agent and gain deep insights into your marketing performance and customer journeys through natural conversation.
LlamaIndex agents combine LeadsRx tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Campaign Analysis — Retrieve attribution results for specific marketing campaigns to understand ROI and performance.
- Conversion Tracking — List all defined conversions and programmatically add new conversion events.
- Touchpoint & Channel Insights — Access and list your marketing touchpoints and top-level channels to see where your customers are coming from.
- Ecosystem Oversight — List associated marketing agencies and advertisers managed under your profile.
- Deep Inspection — Fetch detailed metadata and performance metrics for specific touchpoints or conversions.
The LeadsRx MCP Server exposes 10 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 LeadsRx to LlamaIndex via MCP
Follow these steps to integrate the LeadsRx 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 10 tools from LeadsRx
Why Use LlamaIndex with the LeadsRx MCP Server
LlamaIndex provides unique advantages when paired with LeadsRx through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine LeadsRx tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain LeadsRx tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query LeadsRx, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what LeadsRx tools were called, what data was returned, and how it influenced the final answer
LeadsRx + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the LeadsRx MCP Server delivers measurable value.
Hybrid search: combine LeadsRx real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query LeadsRx 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 LeadsRx for fresh data
Analytical workflows: chain LeadsRx queries with LlamaIndex's data connectors to build multi-source analytical reports
LeadsRx MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect LeadsRx to LlamaIndex via MCP:
add_conversion
Add a new conversion event
get_campaign_results
Get attribution results for a campaign
get_conversion_details
Get specific conversion info
get_touchpoint_details
Get specific touchpoint details
list_advertisers
List connected advertisers
list_agencies
List associated marketing agencies
list_campaigns
List marketing campaigns
list_channels
g., Social, Search, Email) defined in your account. List marketing channels
list_conversions
List all LeadsRx conversions
list_touchpoints
List marketing touchpoints
Example Prompts for LeadsRx in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with LeadsRx immediately.
"Get the attribution results for campaign 'Q1-SOCIAL-AD'."
"List all our active marketing campaigns."
"Show me our marketing channels and touchpoints."
Troubleshooting LeadsRx MCP Server with LlamaIndex
Common issues when connecting LeadsRx to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLeadsRx + LlamaIndex FAQ
Common questions about integrating LeadsRx 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 LeadsRx 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 LeadsRx to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.