How do I get my Viral Loops API Key?

Log in to your Viral Loops account, navigate to Settings > API Keys, and generate a new key. Copy it and paste it below.

Can I get referral URLs for participants?

Yes! Use the get_referral_url tool with the campaign ID and participant email to retrieve their unique referral link.

Can I add new participants to a campaign?

Yes! Use the create_participant action with the campaign ID and participant data (email and custom fields) to register them.

Viral Loops MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Viral Loops
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Viral Loops through the 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 Viral Loops "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Viral Loops?"
    )
    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 Viral Loops MCP Server

Connect Viral Loops to any AI agent and supercharge your referral marketing — manage campaigns, track participants, monitor milestones, and analyze referral performance through natural conversation.

Pydantic AI validates every Viral Loops tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through the 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.

What you can do

Campaign Management — List and inspect all referral campaigns in your account
Participant Tracking — View participants, their referral counts, and statuses
Referral URLs — Generate and retrieve unique referral links for participants
Milestone Monitoring — Check referral milestones and reward completion
Campaign Statistics — Get performance metrics including total referrals and conversions
Reward Management — View and manage reward configurations

The Viral Loops MCP Server exposes 10 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 Viral Loops to Pydantic AI via MCP

Follow these steps to integrate the Viral Loops 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 10 tools from Viral Loops with type-safe schemas

Why Use Pydantic AI with the Viral Loops MCP Server

Pydantic AI provides unique advantages when paired with Viral Loops 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 Viral Loops integration code

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

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

Viral Loops + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Viral Loops MCP Server delivers measurable value.

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

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

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

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

Viral Loops MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Viral Loops to Pydantic AI via MCP:

create_participant

Use this when users sign up through your referral form. Add a new participant to a referral campaign

get_campaign

Use the campaign ID from list_campaigns. Get detailed information about a specific campaign

get_campaign_stats

Get performance statistics for a campaign

get_milestones

g., 5 referrals = discount, 10 referrals = free product) and their current completion status. Get referral milestones and rewards for a campaign

get_participant

Get details of a specific participant by email

get_referral_url

Get the unique referral URL for a participant

get_rewards

Get rewards configuration for a campaign

list_campaigns

Use this to discover available campaigns before querying specific ones. List all referral campaigns in your Viral Loops account

list_participants

Useful for leaderboard analysis and participant management. List all participants in a referral campaign

update_participant

Update information for an existing participant

Example Prompts for Viral Loops in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Viral Loops immediately.

"Show me all my referral campaigns."

"Get the referral URL for user@example.com in campaign 123."

"Show me the stats for campaign 123."

Troubleshooting Viral Loops MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Viral Loops + Pydantic AI FAQ

Common questions about integrating Viral Loops 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 Viral Loops MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.