How to Use the IATA Developer Portal MCP in LangChain
Build LangChain pipelines that query real-time aviation data and route airport details directly into your agent chains.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IATA Developer Portal MCP to LangChain
Create your Vinkius account to connect IATA Developer Portal to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Chain-linked aviation lookups
The `search_airports` tool lets your LangChain agent pull exact airport codes and feed them directly into downstream prompt templates. This prevents your pipelines from breaking when users enter slang or misspelled city names. You can chain the output of `search_airlines` with other tools in your run. LangSmith traces every step, showing you the exact inputs and outputs of each MCP call.
Multi-step aircraft audits
The `search_aircraft` tool retrieves technical specifications for specific plane models during your LangChain agent's execution loop. Your agent reads the output to calculate fleet metrics or verify equipment types. By combining this with `get_city_details`, your agent handles complex routing logic. The framework manages the state while the MCP server provides the ground truth.
LangChain agent validation loops
The `check_api_status` tool verifies the connection to the aviation registry before your long-running chain starts. If the API is down, your agent stops immediately instead of burning tokens on failed calls. Use `list_iata_countries` to restrict agent search space to active regions. This keeps your LangChain memory footprint small and prevents hallucinated flight paths.
Set up IATA Developer Portal MCP in LangChain
Prerequisites
- Python 3.10+ installed
-
langchain-mcp-adapters+langgraphpackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChainBaseToolobjects. - 2
Connect via HTTP transport
Use
MultiServerMCPClientwith"transport": "http"pointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create a ReAct agent
Pass the discovered tools to
create_react_agent()from LangGraph. The agent automatically routes IATA Developer Portal tool calls through the MCP protocol. - 4
Run with any LLM
Swap
ChatOpenAIforChatAnthropic,ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
async with MultiServerMCPClient({
"iata-developer-portal-mcp": {
"transport": "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,
)
result = await agent.ainvoke({
"messages": "List recent IATA Developer Portal transactions"
})
print(result["messages"][-1].content) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IATA Developer Portal. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about IATA Developer Portal MCP in LangChain
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