How do I get an Auth Token for Fomo?

You can find your API token in your Fomo dashboard under Settings > Site > API Access.

Can I use the agent to create new notification designs?

Yes, you can use the 'create_template' tool to programmatically add new notification shells using the {{ variable }} syntax.

How do I push a purchase event to my feed via the agent?

Use the 'create_event' tool and provide the event_type_id along with metadata like first_name, city, and title.

Fomo MCP Server for Pydantic AI 11 tools — connect in under 2 minutes

Name: Fomo
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 11 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Fomo 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 Fomo "
            "(11 tools)."
        ),
    )

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

Connect your Fomo account to any AI agent to automate your social proof marketing and notification feeds through the Model Context Protocol (MCP). Fomo allows you to programmatically push real-time customer interactions, such as purchases or sign-ups, directly to your website's live feed. This MCP server enables you to manage your notification events, design new templates, and monitor integrations directly through natural conversation.

Pydantic AI validates every Fomo tool response against typed schemas, catching data inconsistencies at build time. Connect 11 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

Real-time Events — Push new customer interactions to your live feed and manage existing events instantly.
Template Design — Programmatically create and list notification templates to define how your social proof looks.
Event Monitoring — Retrieve paginated lists of recent events and fetch detailed metadata for specific notifications.
Integration Oversight — Monitor all active third-party integrations connected to your Fomo account.
Application Insights — Access metadata for your Fomo application to maintain full context of your marketing setup.
Clean Feed Management — Update or delete events from your feed directly through the agent.

The Fomo MCP Server exposes 11 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 Fomo to Pydantic AI via MCP

Follow these steps to integrate the Fomo 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 11 tools from Fomo with type-safe schemas

Why Use Pydantic AI with the Fomo MCP Server

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

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

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

Fomo + Pydantic AI Use Cases

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

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

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

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

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

Fomo MCP Tools for Pydantic AI (11)

These 11 tools become available when you connect Fomo to Pydantic AI via MCP:

create_event

Push a new event to feed

create_template

Create a new template

delete_event

Remove event from feed

get_application_info

Get account attributes

get_event

Get event details

get_template

Get template details

list_events

List recent social proof events

list_integrations

List active integrations

list_push_messages

List sent messages

list_templates

List notification templates

update_event

Modify an existing event

Example Prompts for Fomo in Pydantic AI

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

"List the last 5 social proof events in my Fomo application."

"Push a new sign-up event for 'Alex' from 'San Francisco' using template ID '123'."

"List all active notification templates in my account."

Troubleshooting Fomo MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Fomo + Pydantic AI FAQ

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