How can I search for a specific promoter using the agent?

You can use the 'list_promoters' tool and provide a search term in the 'q' parameter. This can be the promoter's name, email, or referral ID. The agent will return matching profiles.

Can I manually award a commission to an affiliate?

Yes! The 'create_reward' tool allows you to manually create a reward for a specific promoter by providing their ID and the amount in cents.

Is it possible to see which campaigns are performing best?

Absolutely. Use the 'get_campaign_report' tool to retrieve aggregate performance metrics across all your active campaigns, including referral counts and revenue generated.

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

Name: FirstPromoter
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 FirstPromoter 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 FirstPromoter "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())

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 FirstPromoter MCP Server

Connect your FirstPromoter account to any AI agent and automate your affiliate and referral marketing operations through the Model Context Protocol (MCP). FirstPromoter is the all-in-one platform for SaaS companies to launch and manage affiliate, referral, and influencer programs. Now, you can manage your promoters and track conversions directly through natural conversation.

Pydantic AI validates every FirstPromoter 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.

What you can do

Promoter Management — List all affiliates, fetch detailed performance metrics, and create new promoter profiles instantly.
Referral Tracking — Monitor incoming leads and conversions to see which promoters are driving the most value.
Reward Processing — List all rewards and commissions, and manually create new rewards for specific promoters.
Campaign Insights — Access all your affiliate campaigns and fetch aggregate performance reports to optimize your strategy.
Performance Reporting — Retrieve detailed reports for promoters and campaigns, including revenue and conversion data.
Payout Statistics — Get a high-level overview of your payout statuses, including total paid and pending amounts.
Real-time Monitoring — Fetch specific lead or conversion details to keep your marketing and finance teams aligned.

The FirstPromoter 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 FirstPromoter to Pydantic AI via MCP

Follow these steps to integrate the FirstPromoter 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 FirstPromoter with type-safe schemas

Why Use Pydantic AI with the FirstPromoter MCP Server

Pydantic AI provides unique advantages when paired with FirstPromoter 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 FirstPromoter integration code

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

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

FirstPromoter + Pydantic AI Use Cases

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

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

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

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

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

FirstPromoter MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect FirstPromoter to Pydantic AI via MCP:

create_promoter

Create a new promoter

create_reward

Create a new reward

get_campaign_report

Get campaign performance report

get_lead

Get lead details

get_payout_stats

Get payout statistics

get_promoter

Get promoter details

get_promoter_report

Get promoter performance report

list_campaigns

List affiliate campaigns

list_conversions

List all conversions

list_leads

List all leads

list_promoters

List all promoters

list_rewards

List rewards

Example Prompts for FirstPromoter in Pydantic AI

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

"List my top 10 promoters by revenue."

"Show me the payout stats for this month."

"Create a new reward of $50.00 for promoter ID 'prom_456'."

Troubleshooting FirstPromoter MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

FirstPromoter + Pydantic AI FAQ

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