Airship MCP Server for LangChain 10 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
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.
The largest ecosystem of integrations, chains, and agents. combine Airship MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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.
RAG with live data: combine Airship tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Airship, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Airship tools with web scrapers, databases, and calculators in a single agent run
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:
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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Airship to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersAirship + LangChain FAQ
Common questions about integrating Airship MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Airship with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Airship to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
