Can my AI automatically register a new purchase to trigger a referral reward?

Yes! Use the `register_purchase` tool providing the buyer's email, order amount, and order ID. Your agent will send this data to ReferralCandy, triggering the referral attribution and payout flow instantly.

How do I easily find out who my best performing advocates are?

Simply ask the agent to run the `get_top_referrers` action. It will compile your highest-performing ambassadors ranked by total successful referrals and the total revenue they generated for your store.

Can I check if a specific customer has any pending referral rewards?

Absolutely. By using the `list_pending_rewards` tool and filtering by the customer's email, your agent can instantly fetch their reward status and payout timeline without you needing to open the dashboard.

INSTANT PLUG AND PLAY

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

Name: ReferralCandy
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 16 Tools Framework

Connect your CrewAI agents to ReferralCandy through Vinkius, pass the Edge URL in the `mcps` parameter and every ReferralCandy tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The ReferralCandy app connector for CrewAI 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

from crewai import Agent, Task, Crew

agent = Agent(
    role="ReferralCandy Specialist",
    goal="Help users interact with ReferralCandy effectively",
    backstory=(
        "You are an expert at leveraging ReferralCandy tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in ReferralCandy "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 16 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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.

When paired with CrewAI, ReferralCandy becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ReferralCandy tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI

When CrewAI 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

send_invite

Send a referral invite

Connect ReferralCandy to CrewAI via MCP

Follow these steps to wire ReferralCandy into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 16 tools from ReferralCandy

Why Use CrewAI with the ReferralCandy MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ReferralCandy through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

ReferralCandy + CrewAI Use Cases

Practical scenarios where CrewAI combined with the ReferralCandy MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries ReferralCandy for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries ReferralCandy, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ReferralCandy tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries ReferralCandy against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for ReferralCandy in CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting ReferralCandy to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

ReferralCandy + CrewAI FAQ

Common questions about integrating ReferralCandy MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.