How do I find my IATA API Key?

Log in to your [**IATA Developer portal**](https://developer.iata.org/), register for an API, and you will find your API Key in your subscription details. Copy and paste it below.

What codes are supported for search?

You can search for 3-letter airport codes (e.g., LHR), 2-letter airline codes (e.g., BA), and IATA aircraft codes (e.g., 744).

Is geographic location data included?

Yes. The `search_airports` and `get_city_details` tools include geographic metadata such as latitude and longitude where available.

IATA Developer Portal MCP Server for CrewAI 6 tools — connect in under 2 minutes

Name: IATA Developer Portal
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 6 Tools Framework

Connect your CrewAI agents to IATA Developer Portal through Vinkius, pass the Edge URL in the `mcps` parameter and every IATA Developer Portal tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="IATA Developer Portal Specialist",
    goal="Help users interact with IATA Developer Portal effectively",
    backstory=(
        "You are an expert at leveraging IATA Developer Portal tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in IATA Developer Portal "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About IATA Developer Portal MCP Server

Empower your AI agent to orchestrate your entire aviation research and logistics auditing workflow with the IATA Developer Portal, the official source for global aviation standards. By connecting IATA's reference data to your agent, you transform complex industry searches into a natural conversation. Your agent can instantly search for airport codes, audit airline identifiers, and retrieve aircraft metadata without you ever touching a technical manual. Whether you are conducting logistics research or building travel applications, your agent acts as a real-time aviation consultant, ensuring your data is always grounded in official, IATA-verified standards.

When paired with CrewAI, IATA Developer Portal becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call IATA Developer Portal tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Airport Auditing — Search for global airports by IATA code and retrieve detailed metadata, including names and geographic locations.
Airline Oversight — Audit airline identifiers and codes to maintain a clear view of carrier distribution and names.
Aircraft Intelligence — Query aircraft types and codes to understand the technical equipment used in global logistics.
City Discovery — Retrieve detailed city information associated with specific IATA codes to assist in geographic planning.
Global Monitoring — List all supported countries in the IATA catalog to maintain strict organizational control over regional data.

The IATA Developer Portal MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI 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 IATA Developer Portal to CrewAI via MCP

Follow these steps to integrate the IATA Developer Portal MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 6 tools from IATA Developer Portal

Why Use CrewAI with the IATA Developer Portal MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with IATA Developer Portal through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

IATA Developer Portal + CrewAI Use Cases

Practical scenarios where CrewAI combined with the IATA Developer Portal MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries IATA Developer Portal for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries IATA Developer Portal, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain IATA Developer Portal tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries IATA Developer Portal against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

IATA Developer Portal MCP Tools for CrewAI (6)

These 6 tools become available when you connect IATA Developer Portal to CrewAI via MCP:

check_api_status

Check if the IATA API is operational

get_city_details

Get details for a specific city by IATA city code

list_iata_countries

List all countries supported by IATA

search_aircraft

Search for aircraft by IATA code

search_airlines

Search for airlines by IATA code

search_airports

Search for airports by IATA code

Example Prompts for IATA Developer Portal in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with IATA Developer Portal immediately.

"Search for airport with IATA code 'LHR' (London Heathrow) using IATA Portal."

"Identify the airline with code 'BA' (British Airways)."

"What aircraft corresponds to IATA code '744'?"

Troubleshooting IATA Developer Portal MCP Server with CrewAI

Common issues when connecting IATA Developer Portal to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

IATA Developer Portal + CrewAI FAQ

Common questions about integrating IATA Developer Portal MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.