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

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add OneSignal as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Ask AI about this App Connector for LlamaIndex

The OneSignal app connector for LlamaIndex 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 llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to OneSignal. "
            "You have 12 tools available."
        ),
    )

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

asyncio.run(main())
OneSignal
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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 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.

LlamaIndex agents combine OneSignal tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
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

Why Use LlamaIndex with the OneSignal MCP Server

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

01

Data-first architecture: LlamaIndex agents combine OneSignal tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain OneSignal tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query OneSignal, a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what OneSignal tools were called, what data was returned, and how it influenced the final answer

OneSignal + LlamaIndex Use Cases

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

01

Hybrid search: combine OneSignal real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query OneSignal to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying OneSignal for fresh data

04

Analytical workflows: chain OneSignal queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for OneSignal in LlamaIndex

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

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

OneSignal + LlamaIndex FAQ

Common questions about integrating OneSignal MCP Server with LlamaIndex.

01

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query OneSignal tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.