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

Built by Vinkius GDPR 10 Tools Framework

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

Vinkius supports streamable HTTP and SSE.

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({
        "airship": {
            "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 Airship, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Airship
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.

LangChain's ecosystem of 500+ components combines seamlessly with Airship through native MCP adapters. Connect 10 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

  • 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 LangChain 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 LangChain via MCP

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

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 10 tools from Airship via MCP

Why Use LangChain with the Airship MCP Server

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

01

The largest ecosystem of integrations, chains, and agents. combine Airship 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 Airship queries for multi-turn workflows

Airship + LangChain Use Cases

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

01

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

02

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

03

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

04

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

Airship MCP Tools for LangChain (10)

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

01

associate_named_user

Link device to user

02

get_channel_details

Get device metadata

03

get_push_status

Check push delivery

04

get_segment_details

Get segment criteria

05

list_channels

List app channels

06

list_named_users

List named users

07

list_segments

List audience segments

08

list_static_lists

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

09

list_tags

List audience tags

10

send_push_notification

Send a push alert

Example Prompts for Airship in LangChain

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

01

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

02

"List all audience segments in my EU project."

03

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

Troubleshooting Airship MCP Server with LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Airship + LangChain FAQ

Common questions about integrating Airship 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.

Connect Airship to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.