How to Use the IATA Developer Portal MCP in LlamaIndex
Index live aviation reference data directly into your LlamaIndex vector stores for hallucination-free search.
Works with every AI agent you already use
…and any MCP-compatible client
Connect IATA Developer Portal MCP to LlamaIndex
Create your Vinkius account to connect IATA Developer Portal to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Semantic indexing of airport codes
The `search_airports` tool fetches structural data about global hubs to inject into your LlamaIndex document stores. This grounds your RAG pipeline in verified physical coordinates. You can query past sessions to find patterns in flight hubs. The index stores these results, so your agent doesn't have to keep hitting the live API for the same codes.
Grounding LlamaIndex agents with airline data
The `search_airlines` tool provides the factual foundation your LlamaIndex agents need to avoid hallucinating carrier codes. It maps regional carriers to their official IATA designators instantly. Combining this with `get_city_details` lets you build a clean, searchable index of regional operations. Your query engine pulls from this updated cache for faster response times.
Global coverage mapping
The `list_iata_countries` tool retrieves the complete list of sovereign nations recognized in aviation routing. LlamaIndex uses this to filter search results based on geographic metadata. You can also use `search_aircraft` to tag your indexed vectors with specific plane models. This makes your search queries highly specific to fleet types with this MCP server.
Set up IATA Developer Portal MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all IATA Developer Portal MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to IATA Developer Portal tools.",
)
response = await agent.run("List recent IATA Developer Portal data") 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 LlamaIndex
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