Genius Referrals MCP Server for LlamaIndex 12 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Genius Referrals 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 Genius Referrals. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Genius Referrals?"
)
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 Genius Referrals MCP Server
Connect your Genius Referrals account to any AI agent to automate your referral marketing and advocate engagement through the Model Context Protocol (MCP). Genius Referrals is a robust platform that helps brands build sophisticated word-of-mouth campaigns. This MCP server enables you to manage your advocate database, track referral conversions, and retrieve reward distributions directly through natural conversation.
LlamaIndex agents combine Genius Referrals tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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.
Key Features
- Advocate Management — List all advocates in your program, retrieve detailed profile metadata, and programmatically register new promoters.
- Referral Tracking — Monitor all tracked referral conversions (signups, purchases) and check their current status instantly.
- Campaign Discovery — Access your configured referral campaigns and fetch detailed rules and reward structures.
- Reward Oversight — List awarded bonuses and rewards distributed to advocates to understand your program's performance.
- Redemption Requests — Monitor requests from advocates to claim or payout their earned rewards.
- Performance Insights — Identify your top-performing advocates and track the total referral count for your business.
- Real-time Synchronization — Keep your referral marketing data accessible to your AI assistant without leaving your primary workspace.
The Genius Referrals MCP Server exposes 12 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 Genius Referrals to LlamaIndex via MCP
Follow these steps to integrate the Genius Referrals 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 12 tools from Genius Referrals
Why Use LlamaIndex with the Genius Referrals MCP Server
LlamaIndex provides unique advantages when paired with Genius Referrals through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Genius Referrals tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Genius Referrals tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Genius Referrals, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Genius Referrals tools were called, what data was returned, and how it influenced the final answer
Genius Referrals + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Genius Referrals MCP Server delivers measurable value.
Hybrid search: combine Genius Referrals real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Genius Referrals 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 Genius Referrals for fresh data
Analytical workflows: chain Genius Referrals queries with LlamaIndex's data connectors to build multi-source analytical reports
Genius Referrals MCP Tools for LlamaIndex (12)
These 12 tools become available when you connect Genius Referrals to LlamaIndex via MCP:
get_advocate_details
Get advocate metadata
get_campaign_details
Get campaign metadata
get_my_account
Get account identity
list_awarded_bonuses
List earned rewards
list_payout_requests
List redemption requests
list_program_advocates
List advocates
list_referral_campaigns
List campaigns
list_top_performers
List top advocates
list_tracked_referrals
List referral events
log_referral_conversion
g. signup or purchase). Track a referral
register_advocate
Register new advocate
verify_api_connection
Check connection
Example Prompts for Genius Referrals in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Genius Referrals immediately.
"List all active referral campaigns in my account."
"Register 'Jane Smith' (jane@example.com) as a new advocate."
"Show me the 5 most recent referral conversions."
Troubleshooting Genius Referrals MCP Server with LlamaIndex
Common issues when connecting Genius Referrals to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpGenius Referrals + LlamaIndex FAQ
Common questions about integrating Genius Referrals 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 Genius Referrals 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 Genius Referrals to LlamaIndex
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
