How to Use the Duffel MCP in LlamaIndex

Q: How do I filter tools for my LlamaIndex agent?

Pass an allowedtools list to your tool spec. This restricts the agent to only the functions you want it to access.

Index live travel data from Duffel into your LlamaIndex knowledge base for grounded, semantic search and retrieval.

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Connect Duffel MCP to LlamaIndex

Create your Vinkius account to connect Duffel 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.

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Setup Duffel with LlamaIndex

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Index live travel offers

The agent executes `list_offers` and feeds the results into your vector store. This lets you query your past searches or current availability using natural language. You build a bridge between real-time inventory and your internal documentation. When you ask about specific routes, the agent retrieves grounded data instead of guessing.

Query past booking history

Your agent calls `list_orders` to pull historical booking records into the index. You can then ask questions about previous trips or manage existing itineraries by referencing indexed data. This turns your booking history into a searchable database. The agent correlates `get_order` details with your internal notes to answer complex questions about your travel history.

Automate stay search and storage

Use `search_stays` to find properties and store the output in your knowledge base. The agent cross-references these results with your preferences stored in LlamaIndex. You avoid stale data because the agent always fetches fresh rates using `fetch_stay_rates` before adding them to the index. This keeps your recommendations accurate and timely.

Setup guide

Set up Duffel MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
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 provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to 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 Duffel MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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 Duffel tools.",
)
response = await agent.run("List recent Duffel data")

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Duffel. 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 Duffel MCP in LlamaIndex

Use the MCP tool spec to fetch the tools and pass them to your agent. The agent then performs the retrieval and indexes the results into your vector store.

Once you index your order history, yes. The agent uses the MCP tools to pull the data, which is then vectorized for semantic search.

The server provides live data. You trigger the refresh in your agent loop whenever you need to update your index with the latest flight availability.

Pass an allowed_tools list to your tool spec. This restricts the agent to only the functions you want it to access.

Your travel identifiers and order details are processed only within your local indexing pipeline. No external entity monitors the data ingested from this MCP Server.

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