Duffel Flights MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Duffel Flights 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 Duffel Flights. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Duffel Flights?"
)
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 Duffel Flights MCP Server
Connect your AI agent to Duffel, the modern infrastructure for travel. This integration allows you to search for real-time flight offers, manage bookings (orders), and access a comprehensive directory of airlines, airports, and aircraft through natural conversation.
LlamaIndex agents combine Duffel Flights tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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
- Flight Search — Create offer requests to find the best flights based on origin, destination, dates, and cabin class
- Booking Management — Create flight orders (instant or hold) and retrieve detailed reservation information
- Payment Processing — Pay for flight orders that were previously held directly via the agent
- Travel Directory — List and inspect aircraft models, airlines, and airports worldwide with their respective IATA codes
- Order Oversight — List all flight bookings associated with your account to track your travel history
The Duffel Flights MCP Server exposes 8 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 Duffel Flights to LlamaIndex via MCP
Follow these steps to integrate the Duffel Flights 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 8 tools from Duffel Flights
Why Use LlamaIndex with the Duffel Flights MCP Server
LlamaIndex provides unique advantages when paired with Duffel Flights through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Duffel Flights tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Duffel Flights tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Duffel Flights, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Duffel Flights tools were called, what data was returned, and how it influenced the final answer
Duffel Flights + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Duffel Flights MCP Server delivers measurable value.
Hybrid search: combine Duffel Flights real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Duffel Flights 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 Duffel Flights for fresh data
Analytical workflows: chain Duffel Flights queries with LlamaIndex's data connectors to build multi-source analytical reports
Duffel Flights MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Duffel Flights to LlamaIndex via MCP:
create_flight_offer_request
Provide passengers as a JSON array string. Search for flight offers by specifying origin, destination, and passengers
create_flight_order
Provide full passenger details as a JSON string. Book a flight by selecting an offer and providing passenger details
list_aircraft
Retrieve a list of aircraft used by airlines
list_airlines
Retrieve a list of airlines
list_airports
Retrieve a list of airports
list_flight_offers
Retrieve all available flight offers for a specific offer request
list_flight_orders
Retrieve a list of all flight bookings (orders)
pay_for_flight_order
Process payment for a flight order that was previously put on hold
Example Prompts for Duffel Flights in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Duffel Flights immediately.
"Search for a flight from London (LHR) to New York (JFK) on 2024-12-01."
"List all airports in Brazil."
Troubleshooting Duffel Flights MCP Server with LlamaIndex
Common issues when connecting Duffel Flights to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpDuffel Flights + LlamaIndex FAQ
Common questions about integrating Duffel Flights 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 Duffel Flights 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.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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 Duffel Flights to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.
