How do I find my Airship App Key and Master Secret?

Log in to the Airship dashboard, go to **Settings** > **APIs & Integrations**, and select **Tokens**. You will find your App Key and can generate/view your Master Secret there.

Which region should I choose?

Choose **US** if your project is hosted on `go.urbanairship.com` or **EU** if it is hosted on `go.airship.eu`. Using the wrong region will result in authentication failures.

Can I target specific users by their email?

Yes! Use the `send_push_notification` tool and specify the `named_user` in the audience. If your user's email is mapped as their Named User ID, Airship will deliver the push to all their associated devices.

Airship MCP Server for LlamaIndex 10 tools — connect in under 2 minutes

Name: Airship
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

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

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 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 Airship. "
            "You have 10 tools available."
        ),
    )

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

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 Airship MCP Server

Connect your Airship (formerly Urban Airship) account to your AI agent to unlock professional mobile and web engagement orchestration. From sending targeted push notifications to auditing subscriber segments and managing named user associations across multiple channels, your agent handles your multi-channel communication strategy through natural conversation.

LlamaIndex agents combine Airship tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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

Push Orchestration — Send and monitor push notifications to specific audiences, segments, or all users
Segmentation Oversight — List and retrieve criteria for your audience segments, including tags and attributes
Channel Management — List and audit communication channels (iOS, Android, Web, Email) and retrieve technical metadata
User Association — Manage named users to map multiple devices and channels to a single customer profile
Engagement Insights — Quickly identify active segments or audit delivery statuses directly from your chat interface

The Airship MCP Server exposes 10 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.

How to Connect Airship to LlamaIndex via MCP

Follow these steps to integrate the Airship MCP Server with LlamaIndex.

Install dependencies

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

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 10 tools from Airship

Why Use LlamaIndex with the Airship MCP Server

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

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

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

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

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

Airship + LlamaIndex Use Cases

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

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

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

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

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

Airship MCP Tools for LlamaIndex (10)

These 10 tools become available when you connect Airship to LlamaIndex via MCP:

associate_named_user

Link device to user

get_channel_details

Get device metadata

get_push_status

Check push delivery

get_segment_details

Get segment criteria

list_channels

List app channels

list_named_users

List named users

list_segments

List audience segments

list_static_lists

g. CSV uploads) in your account. List static audiences

list_tags

List audience tags

send_push_notification

Send a push alert

Example Prompts for Airship in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Airship immediately.

"Send a push notification to all users with alert 'Big Sale starting now!'."

"List all audience segments in my EU project."

"Show details for channel ID '12345678-90ab-cdef-1234-567890abcdef'."

Troubleshooting Airship MCP Server with LlamaIndex

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

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Airship + LlamaIndex FAQ

Common questions about integrating Airship MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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