ReferralCandy MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Check Referralcandy Status, Get Campaign, Get Referral, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ReferralCandy 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 ReferralCandy app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 16 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 ReferralCandy. "
"You have 16 tools available."
),
)
response = await agent.run(
"What tools are available in ReferralCandy?"
)
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 ReferralCandy MCP Server
Give your AI agent full programmatic control over your ReferralCandy ecosystem. With 16 tools tailored for referral marketing, your agent can instantly track referrals by period, register attributed purchases, identify top advocates, monitor pending rewards, manage campaigns, and send referral invitations directly from your natural language workspace.
LlamaIndex agents combine ReferralCandy tool responses with indexed documents for comprehensive, grounded answers. Connect 16 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
- List and filter referrals by period
- Register purchases to trigger rewards
- Identify and manage top-performing advocates
- Monitor pending referral payouts
- Configure campaigns and send invites
- Access overall program statistics
Who is it for?
Designed for marketing teams, e-commerce operators, and growth hackers who need instant, conversational access to affiliate and referral performance metrics.The ReferralCandy MCP Server exposes 16 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 16 ReferralCandy tools available for LlamaIndex
When LlamaIndex connects to ReferralCandy through Vinkius, your AI agent gets direct access to every tool listed below — spanning referral-marketing, affiliates, loyalty, 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.
Verify connectivity
Get campaign details
Get referral details
Get advocate profile
Get program stats
Get top advocates
List campaigns
List sent invites
List pending rewards
List referred purchases
List all referrals
List referrals by period
List all advocates
List all rewards
Register a purchase
Send a referral invite
Connect ReferralCandy to LlamaIndex via MCP
Follow these steps to wire ReferralCandy 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 ReferralCandy MCP Server
LlamaIndex provides unique advantages when paired with ReferralCandy through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ReferralCandy tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ReferralCandy tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ReferralCandy, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ReferralCandy tools were called, what data was returned, and how it influenced the final answer
ReferralCandy + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ReferralCandy MCP Server delivers measurable value.
Hybrid search: combine ReferralCandy real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ReferralCandy 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 ReferralCandy for fresh data
Analytical workflows: chain ReferralCandy queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for ReferralCandy in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ReferralCandy immediately.
"Can you find the top referrers in my ReferralCandy program for the last month?"
"Register a purchase of $150.00 for order #90210 by customer@example.com."
"List all pending referral rewards that need to be processed this week."
Troubleshooting ReferralCandy MCP Server with LlamaIndex
Common issues when connecting ReferralCandy to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpReferralCandy + LlamaIndex FAQ
Common questions about integrating ReferralCandy MCP Server with LlamaIndex.
