How to Use the Amadeus Alternative MCP in AutoGen

Q: How do I load the Amadeus Alternative MCP Server into AutoGen?

Install autogen-extmcp. Use mcpservertools with your Vinkius endpoint parameters, then pass the resulting tool list directly into your AssistantAgent constructor.

Q: Does AutoGen translate Amadeus Alternative tool schemas automatically?

Yes. The McpToolAdapter reads the JSON schema from the MCP server and converts it into the exact format your agent expects. You never write custom wrapper code.

Let AutoGen agents debate flight routes and hotel prices to find the perfect travel itinerary.

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Connect Amadeus Alternative MCP to AutoGen

Create your Vinkius account to connect Amadeus Alternative to AutoGen and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Amadeus Alternative with AutoGen

Ask AI about this MCP

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Claude

Perplexity

Consensus-driven flight routing

Finding the right flight requires balancing cost and comfort. You set up a budget agent and a comfort agent. The budget agent calls `get_flight_dates` to find the absolute cheapest days to fly. Meanwhile, the comfort agent runs `get_direct_destinations` to avoid layovers. They debate the results. The system forces them to negotiate until they agree on a specific itinerary using `search_flights` that fits both criteria.

Multi-agent hotel selection in AutoGen

Picking a hotel is a classic optimization problem. You assign one agent to location scouting and another to finance. The scout uses `search_poi` to find landmarks, then calls `search_hotels` for nearby options. The finance agent takes those hotel IDs and hammers `get_hotel_offers` to check the actual nightly rates. If the price is too high, it pushes back, forcing the scout to find a different neighborhood using `search_cities`.

Group deliberation via this MCP Server

A single prompt rarely builds a perfect trip. A committee of specialized agents does. You feed them a rough idea, and they start pulling data. One agent grabs coordinates and runs `get_travel_recommendations`. Once they agree on a location, another agent checks `get_flight_destinations` to verify route viability. The final step involves a logistics agent pulling `get_seat_map` data to ensure the whole family can sit together before finalizing the plan.

Setup guide

Set up Amadeus Alternative MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Amadeus Alternative tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Amadeus Alternative_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Amadeus Alternative data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Amadeus Alternative_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Amadeus Alternative data")
    print(result.messages[-1].content)

Get your connection token →

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Common questions about Amadeus Alternative MCP in AutoGen

Install `autogen-ext[mcp]`. Use `mcp_server_tools` with your Vinkius endpoint parameters, then pass the resulting tool list directly into your `AssistantAgent` constructor.

You assign tools per agent. You might give your travel planner agent access to flight searches, while restricting your finance agent to only reading hotel pricing data.

Yes. The `McpToolAdapter` reads the JSON schema from the MCP server and converts it into the exact format your agent expects. You never write custom wrapper code.

They keep talking. If one agent wants a direct flight and another wants the cheapest option, they will repeatedly query the API with different parameters until they find a compromise.

We run every connection through a stateless, sandboxed environment. Your seat map requests and flight offer IDs exist only for the millisecond they take to process before the container wipes clean.

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