How to Use the FareHarbor MCP in OpenAI Agents SDK
Build production-grade tour booking agents for your OpenAI Agents SDK projects with direct access to FareHarbor.
Works with every AI agent you already use
…and any MCP-compatible client
Connect FareHarbor MCP to OpenAI Agents SDK
Create your Vinkius account to connect FareHarbor to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Automate booking workflows in OpenAI Agents SDK
Your agent handles the full booking lifecycle without leaving your Python environment. Use `create_booking` to finalize reservations and `get_booking` to track status changes in real-time. Integration happens automatically through the SDK. Your agent discovers every tool on startup, allowing for immediate execution of complex logic with built-in guardrails.
Real-time inventory lookup for your agent
Stop guessing availability. The MCP server provides direct access to `get_availability` and `list_availabilities_by_range`, letting your agent query live inventory data instantly. Parsing responses is handled by the framework. You get clean, structured data back every time, making it simple to build conditional logic based on actual tour slots.
Manage company and item metadata
Retrieve exact details for any tour or pickup location using `get_item_details` and `list_lodgings`. Your agent knows exactly what to offer based on real-world data. Use `list_companies` to switch between multiple operators. This ensures your agent always interacts with the correct account context during multi-tenant operations.
Set up FareHarbor MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all FareHarbor tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives FareHarbor tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate FareHarbor tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="FareHarbor Agent",
instructions="You have access to FareHarbor tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by FareHarbor. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about FareHarbor MCP in OpenAI Agents SDK
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