amadeus-mcp-server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@amadeus-mcp-server Is AF1234 delayed? What are my rights?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🛰️ Amadeus MCP Server
An open-source Model Context Protocol server that exposes the Amadeus Self-Service APIs as tools for Claude and any MCP client. Ask Claude "Is AF1234 delayed tomorrow? What are my rights?" and it answers with real flight data and cited passenger-rights passages.
Tools
Tool | Backing source | What it does |
| Amadeus On-Demand Flight Status | Scheduled vs estimated times, delay minutes, cancellation flag |
| Amadeus Flight Delay Prediction | P(delay > 2h) for a flight |
| Amadeus Flight Offers Search | Bookable non-stop offers with prices and seats left |
| RAG corpus (EU261, carrier policies) | Policy passages with named sources — no un-cited entitlements |
| Runs the full LangGraph disruption pipeline and returns the grounded passenger message + trace |
Related MCP server: Amadeus Agent
Architecture
flowchart LR
C[Claude / any MCP client] -- MCP (stdio) --> S[amadeus-mcp-server]
S --> T1[flight_status]
S --> T2[predict_delay]
S --> T3[search_flights]
S --> T4[passenger_rights]
S --> T5[handle_disruption]
T1 & T2 & T3 -.-> A[(Amadeus Self-Service APIs)]
T4 -.-> R[(EU261 + carrier policy corpus · BM25 RAG)]
T5 -.-> P[disruption-agent LangGraph pipeline]
P -.-> A
P -.-> RAll five tools are backed by the disruption-agent
package — one shared data layer for OAuth2, response normalisation, mock/live parity
and the policy corpus. The two projects compose: this server is the interface
(any MCP client becomes a travel assistant), the agent is the automation
(proactive end-to-end disruption handling).
Quickstart
Claude Code
claude mcp add amadeus -- uvx --from git+https://github.com/Thaynabarreiro/amadeus-mcp-server amadeus-mcp-serverOr from a local clone:
git clone https://github.com/Thaynabarreiro/amadeus-mcp-server
cd amadeus-mcp-server
python -m venv .venv && source .venv/bin/activate && pip install -e .
claude mcp add amadeus -- $(pwd)/.venv/bin/amadeus-mcp-serverClaude Desktop
Add to claude_desktop_config.json:
{
"mcpServers": {
"amadeus": {
"command": "/path/to/amadeus-mcp-server/.venv/bin/amadeus-mcp-server",
"env": { "AGENT_MODE": "mock" }
}
}
}Try it
No credentials needed — the default mock mode replays realistic fixtures. Ask Claude:
"Check the status of AF1234 tomorrow. If it's disrupted, what are my rights under EU261, and what rebooking options exist?"
"Run the disruption handler for AF1234 tomorrow and show me the passenger message."
Live mode
Set environment variables (free test keys at developers.amadeus.com):
"env": {
"AGENT_MODE": "live",
"AMADEUS_CLIENT_ID": "...",
"AMADEUS_CLIENT_SECRET": "..."
}Design notes
Grounded by construction —
passenger_rightsreturns passages with sources, so the model can cite EU261 or carrier policy instead of asserting entitlements from memory.Mock/live parity — mock fixtures mirror live response shapes; switching modes changes the data source, not tool behaviour. That makes the server testable in CI and demoable anywhere.
Thin server, shared core — tools delegate to the
disruption-agentpackage; OAuth2 token caching, normalisation and retrieval logic live in one repository.
Development
pip install -e ".[dev]"
pytest # 8 offline tests: tool behaviour + MCP protocol registration
ruff check src testsBuilt by Thayná Barreiro · MIT License. Not affiliated with Amadeus IT Group; uses the public Amadeus for Developers Self-Service APIs.
Available Tools
5 toolsflight_statusA
Get the status of a flight (scheduled vs estimated times, delay, cancellation).
Args: carrier_code: IATA carrier code, e.g. "AF". flight_number: Flight number without carrier, e.g. "1234". departure_date: Scheduled departure date, ISO format "YYYY-MM-DD".
Inputs: carrier_code (required), flight_number (required), departure_date (required).
handle_disruptionA
Run the full disruption-handling agent for a flight: status check, disruption assessment, rebooking search, policy retrieval and a grounded passenger message.
Args: carrier_code: IATA carrier code, e.g. "AF". flight_number: Flight number, e.g. "1234". departure_date: ISO format "YYYY-MM-DD". scenario: In mock mode only: "delay", "cancellation" or "on_time".
Inputs: carrier_code (required), flight_number (required), departure_date (required), scenario.
passenger_rightsA
Look up passenger rights and carrier disruption policies (EU261, rebooking, baggage, duty of care). Returns the most relevant policy passages with sources, so every entitlement you state can be cited.
Args: question: Natural-language question, e.g. "compensation for a 3 hour delay". top_k: Number of passages to return (default 3).
Inputs: question (required), top_k. Returns: result
predict_delayA
Predict the probability that a flight is delayed by more than 2 hours.
Args: origin: Origin IATA airport code, e.g. "NCE". destination: Destination IATA airport code, e.g. "CDG". departure_datetime: Scheduled departure, ISO format "YYYY-MM-DDTHH:MM". carrier_code: IATA carrier code, e.g. "AF". flight_number: Flight number, e.g. "1234".
Inputs: origin (required), destination (required), carrier_code (required), flight_number (required), +1 more.
search_flightsA
Search bookable flights for a route and date (non-stop, one adult).
Args: origin: Origin IATA airport code, e.g. "NCE". destination: Destination IATA airport code, e.g. "CDG". departure_date: ISO format "YYYY-MM-DD". max_results: Maximum number of offers to return (default 5).
Inputs: origin (required), destination (required), departure_date (required), max_results. Returns: result
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: one checks flight status, one runs a disruption agent, one retrieves passenger rights, one predicts delays, and one searches flights. No overlap.
All tool names follow a consistent verb_noun pattern in snake_case (e.g., flight_status, handle_disruption, search_flights).
5 tools is a reasonable count for a flight disruption management server. It covers core functions without being too sparse or excessive, though a few more specialized tools could exist.
The tool surface covers the main workflows: status, disruption handling, rights lookup, prediction, and search. Some minor gaps like airport code resolution or direct rebooking are absent but the handle_disruption tool may encapsulate those.
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