ReferralHero MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Add Points, Add Subscriber, Delete Subscriber, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ReferralHero 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 App Connector for LlamaIndex
The ReferralHero app connector for LlamaIndex is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 ReferralHero. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in ReferralHero?"
)
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 ReferralHero MCP Server
Connect your ReferralHero account to any AI agent and take full control of your viral growth orchestration and referral program management through natural conversation. ReferralHero provides a premier platform for building referral loops, and this integration allows you to retrieve subscriber metadata, monitor campaign leaderboards, and manage rewards directly from your chat interface.
LlamaIndex agents combine ReferralHero 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.
What you can do
- Campaign & List Orchestration — List all managed referral campaigns and retrieve detailed metadata, including creating and updating subscriber records programmatically.
- Subscriber Lifecycle Management — Access and monitor individual subscriber profiles and retrieve detailed performance metadata including point balances directly from the AI interface.
- Leaderboard & Reward Intelligence — Access real-time campaign leaderboards and monitor reward eligibility via natural language to drive program engagement.
- Conversion & Referral Tracking — Track conversion events and attribute referrals to specific subscribers to ensure your growth loops are always synchronized.
- Operational Monitoring — Track system activity and manage transaction metadata using simple AI commands.
The ReferralHero 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.
All 12 ReferralHero tools available for LlamaIndex
When LlamaIndex connects to ReferralHero through Vinkius, your AI agent gets direct access to every tool listed below — spanning referralhero, viral-growth, referral-api, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add points to a subscriber
Add a new subscriber to a campaign
Remove a subscriber from a campaign
Get campaign leaderboard
Get details for a specific campaign
Get campaign rewards
Get details for a specific subscriber
List all referral campaigns (lists)
List subscribers for a campaign
List recent transactions
Track a referral conversion event
Update an existing subscriber
Connect ReferralHero to LlamaIndex via MCP
Follow these steps to wire ReferralHero into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the ReferralHero MCP Server
LlamaIndex provides unique advantages when paired with ReferralHero through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ReferralHero tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ReferralHero tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ReferralHero, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ReferralHero tools were called, what data was returned, and how it influenced the final answer
ReferralHero + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ReferralHero MCP Server delivers measurable value.
Hybrid search: combine ReferralHero real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ReferralHero 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 ReferralHero for fresh data
Analytical workflows: chain ReferralHero queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for ReferralHero in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ReferralHero immediately.
"List all active referral lists in my account."
"Show me the leaderboard of top referrers in my active campaign with their reward balances."
"Send a reminder email to all campaign participants who have not shared their referral link yet."
Troubleshooting ReferralHero MCP Server with LlamaIndex
Common issues when connecting ReferralHero to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpReferralHero + LlamaIndex FAQ
Common questions about integrating ReferralHero MCP Server with LlamaIndex.