3,400+ MCP servers ready to use
Vinkius

ReferralCandy MCP Server for LlamaIndexGive LlamaIndex instant access to 16 tools to Check Referralcandy Status, Get Campaign, Get Referral, and more

Built by Vinkius GDPR 16 Tools Framework

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

python
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())
ReferralCandy
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

check_referralcandy_status

Verify connectivity

get_campaign

Get campaign details

get_referral

Get referral details

get_referrer

Get advocate profile

get_stats

Get program stats

get_top_referrers

Get top advocates

list_campaigns

List campaigns

list_invites

List sent invites

list_pending_rewards

List pending rewards

list_purchases

List referred purchases

list_referrals

List all referrals

list_referrals_by_period

List referrals by period

list_referrers

List all advocates

list_rewards

List all rewards

register_purchase

Register a purchase

send_invite

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.

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 16 tools from ReferralCandy

Why Use LlamaIndex with the ReferralCandy MCP Server

LlamaIndex provides unique advantages when paired with ReferralCandy through the Model Context Protocol.

01

Data-first architecture: LlamaIndex agents combine ReferralCandy tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain ReferralCandy tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query ReferralCandy, a vector store, and a SQL database in a single turn and synthesize results

04

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.

01

Hybrid search: combine ReferralCandy real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query ReferralCandy to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying ReferralCandy for fresh data

04

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.

01

"Can you find the top referrers in my ReferralCandy program for the last month?"

02

"Register a purchase of $150.00 for order #90210 by customer@example.com."

03

"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.

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

ReferralCandy + LlamaIndex FAQ

Common questions about integrating ReferralCandy MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ReferralCandy tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.