SITA Airport Reference API MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add SITA Airport Reference API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 SITA Airport Reference API. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in SITA Airport Reference API?"
)
print(response)
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 SITA Airport Reference API MCP Server
Access the SITA Airport Reference API through natural conversation with your AI agent. This integration provides programmatic access to the world's most comprehensive airport reference database, maintained by SITA — the global leader in air transport IT solutions.
LlamaIndex agents combine SITA Airport Reference API tool responses with indexed documents for comprehensive, grounded answers. Connect 3 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
- Airport Directory — List all global airports registered in the SITA database with their IATA codes, names, and locations
- Airport Details — Retrieve comprehensive metadata for any airport including timezone, coordinates, city, country, and operational data
- Terminal Intelligence — List all terminals, concourses, and gate areas for a specific airport
The SITA Airport Reference API MCP Server exposes 3 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 SITA Airport Reference API to LlamaIndex via MCP
Follow these steps to integrate the SITA Airport Reference API 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 3 tools from SITA Airport Reference API
Why Use LlamaIndex with the SITA Airport Reference API MCP Server
LlamaIndex provides unique advantages when paired with SITA Airport Reference API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine SITA Airport Reference API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain SITA Airport Reference API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query SITA Airport Reference API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what SITA Airport Reference API tools were called, what data was returned, and how it influenced the final answer
SITA Airport Reference API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the SITA Airport Reference API MCP Server delivers measurable value.
Hybrid search: combine SITA Airport Reference API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query SITA Airport Reference API 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 SITA Airport Reference API for fresh data
Analytical workflows: chain SITA Airport Reference API queries with LlamaIndex's data connectors to build multi-source analytical reports
SITA Airport Reference API MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect SITA Airport Reference API to LlamaIndex via MCP:
get_airport_reference_details
Use the 3-letter IATA code (e.g., "LHR", "JFK", "GRU"). Get full reference metadata for a specific airport by code (IATA)
list_airport_terminals
Useful for flight operations, passenger routing, and airport infrastructure planning. List all terminals and gate areas for a specific airport
list_sita_airports
List all global airports registered in the SITA database
Example Prompts for SITA Airport Reference API in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with SITA Airport Reference API immediately.
"Show me all the terminals at London Heathrow Airport."
"Get the full details for São Paulo Guarulhos airport."
Troubleshooting SITA Airport Reference API MCP Server with LlamaIndex
Common issues when connecting SITA Airport Reference API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpSITA Airport Reference API + LlamaIndex FAQ
Common questions about integrating SITA Airport Reference API MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect SITA Airport Reference API 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.
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GitHub Copilot in VS Code with Agent mode and MCP support.
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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 SITA Airport Reference API to LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.