Skyscanner MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Skyscanner through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Skyscanner Assistant",
instructions=(
"You help users interact with Skyscanner. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Skyscanner"
)
print(result.final_output)
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 Skyscanner MCP Server
Connect to Skyscanner and explore flight prices worldwide through natural conversation — no API key needed.
The OpenAI Agents SDK auto-discovers all 6 tools from Skyscanner through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Skyscanner, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Flight Search — Search indicative flight prices between any two airports
- Browse Dates — Find cheapest days to fly around your preferred date
- Browse Grid — Compare prices across multiple date combinations
- Direct Flights — Find non-stop flight options only
- Place Search — Autosuggest airports and cities by name
The Skyscanner MCP Server exposes 6 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Skyscanner to OpenAI Agents SDK via MCP
Follow these steps to integrate the Skyscanner MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Skyscanner
Why Use OpenAI Agents SDK with the Skyscanner MCP Server
OpenAI Agents SDK provides unique advantages when paired with Skyscanner through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Skyscanner + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Skyscanner MCP Server delivers measurable value.
Automated workflows: build agents that query Skyscanner, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Skyscanner, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Skyscanner tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Skyscanner to resolve tickets, look up records, and update statuses without human intervention
Skyscanner MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Skyscanner to OpenAI Agents SDK via MCP:
autosuggest_places
Useful for finding the correct place IDs to use in flight searches. Returns place names, IATA codes and types. Search for places (airports, cities) by name
browse_dates
Useful for finding the cheapest days to fly. Returns prices for multiple dates at once. Browse flight prices by date
browse_grid
Useful for flexible date searches. Returns prices for multiple origin-destination date pairs. Browse flight prices in a date grid
get_geo_places
Useful for discovering available place IDs. Get a list of all supported places
search_direct_flights
Useful for travelers who prefer no layovers. Search for direct flights only
search_flights_indicative
Useful for exploring flight options and comparing prices. Use originPlaceId and destinationPlaceId as IATA codes (e.g. "NYCA" for New York, "LOND" for London) or place IDs. Returns cheapest quotes with carrier info. Search for flight quotes (indicative prices)
Example Prompts for Skyscanner in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Skyscanner immediately.
"Find flights from New York to London on June 15, 2025."
"What's the cheapest day to fly from São Paulo to Miami in July?"
"What's the airport code for Tokyo?"
Troubleshooting Skyscanner MCP Server with OpenAI Agents SDK
Common issues when connecting Skyscanner to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Skyscanner + OpenAI Agents SDK FAQ
Common questions about integrating Skyscanner MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Skyscanner 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 Skyscanner to OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.