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OneSignal MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Cancel Scheduled Alert, Get Api Status, Get App Details, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Pydantic AI

Open in ChatGPT Open in Claude Open in Perplexity

The OneSignal app connector for Pydantic AI is a standout in the Industry Titans category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 OneSignal "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
OneSignal
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 OneSignal MCP Server

Connect your OneSignal account to any AI agent and take full control of your customer engagement and notification orchestration through natural conversation. OneSignal is the market leader for omnichannel delivery, and this integration allows you to dispatch real-time push notifications, manage audience segments, and monitor delivery analytics directly from your chat interface.

Pydantic AI validates every OneSignal 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

  • Omnichannel Dispatch Orchestration — Send push notifications, emails, and SMS programmatically using advanced targeting and personalized content to ensure your message always lands.
  • Audience & User Intelligence — Manage user profiles (players), update custom tags, and retrieve detailed device metadata directly from the AI interface to maintain a high-fidelity CRM.
  • Segment & Targeting Control — Access and monitor your audience segments and apply dynamic targeting criteria via natural language to drive better engagement.
  • Performance & Outcome Oversight — Retrieve granular delivery analytics, track successful/failed counts, and monitor custom outcomes using simple AI commands.
  • Operational Monitoring — Track system responses and manage multiple applications to ensure your notification pipeline is always optimized.

The OneSignal 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.

All 12 OneSignal tools available for Pydantic AI

When Pydantic AI connects to OneSignal through Vinkius, your AI agent gets direct access to every tool listed below — spanning onesignal, push-notifications, omnichannel-marketing, 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.

cancel_scheduled_alert

Stop notification

get_api_status

Check connection

get_app_details

Get application info

get_notification_stats

Check delivery metrics

get_player_details

Get user profile

list_app_outcomes

Get campaign outcomes

list_app_players

List subscribed devices

list_app_segments

List target groups

list_onesignal_apps

Requires User Auth Key. List your applications

list_recent_notifications

List past alerts

remove_player

Delete device record

send_push_notification

Send proactive alert

Connect OneSignal to Pydantic AI via MCP

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

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from OneSignal with type-safe schemas

Why Use Pydantic AI with the OneSignal MCP Server

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

01

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

02

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

03

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

04

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

OneSignal + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for OneSignal in Pydantic AI

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

01

"List the last 5 push notifications sent from OneSignal."

02

"Send a push notification to the segment named VIP Users with a promotional message."

03

"Show me the delivery and click-through analytics for notification ID ntf_8923."

Troubleshooting OneSignal MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

OneSignal + Pydantic AI FAQ

Common questions about integrating OneSignal MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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