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

Built by Vinkius GDPR 12 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect OneSignal through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this App Connector for LangChain

The OneSignal app connector for LangChain 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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "onesignal-alternative": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using OneSignal, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with OneSignal through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

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

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 12 tools from OneSignal via MCP

Why Use LangChain with the OneSignal MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine OneSignal MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across OneSignal queries for multi-turn workflows

OneSignal + LangChain Use Cases

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

01

RAG with live data: combine OneSignal tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query OneSignal, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain OneSignal tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every OneSignal tool call, measure latency, and optimize your agent's performance

Example Prompts for OneSignal in LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

OneSignal + LangChain FAQ

Common questions about integrating OneSignal MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.