How do I get an API Token for Genius Referrals?

Log in to your Genius Referrals dashboard, click your name in the top-left corner, and select 'API Access' to find your API token.

Can I manually track a referral conversion via the agent?

Yes! Use the 'log_referral_conversion' tool. You must provide the advocate's email and the email of the person they referred to trigger the tracking logic.

How do I register a new advocate through the chat?

Use the 'register_advocate' tool and provide the person's email and full name. The agent will add them to your program and generate their referral link.

Is it possible to see who my best advocates are?

Yes, the 'list_top_performers' tool retrieves a list of advocates sorted by their referral count, helping you identify your most active promoters.

Genius Referrals MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: Genius Referrals
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Genius Referrals through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Genius Referrals "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Genius Referrals?"
    )
    print(result.data)

asyncio.run(main())

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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 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.

Pydantic AI validates every Genius Referrals tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the Genius Referrals MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

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 with type-safe schemas

Why Use Pydantic AI with the Genius Referrals MCP Server

Pydantic AI provides unique advantages when paired with Genius Referrals through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Genius Referrals integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Genius Referrals connection logic from agent behavior for testable, maintainable code

Genius Referrals + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Genius Referrals MCP Server delivers measurable value.

Type-safe data pipelines: query Genius Referrals with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Genius Referrals tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Genius Referrals and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Genius Referrals responses and write comprehensive agent tests

Genius Referrals MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Genius Referrals to Pydantic AI 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

verify_api_connection

Check connection

Example Prompts for Genius Referrals in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting Genius Referrals to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Genius Referrals + Pydantic AI FAQ

Common questions about integrating Genius Referrals MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Genius Referrals MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.