How to Use the TripAdvisor MCP in OpenAI Agents SDK

Q: Can I find POIs near a specific spot using TripAdvisor and OpenAI Agents SDK?

Absolutely. The getnearbylocations tool takes coordinates as input, allowing your agent to search for points of interest immediately surrounding any given location.

Q: What data can I retrieve about a place using TripAdvisor and OpenAI Agents SDK?

You get deep details via getlocationdetails, plus professional photos (getlocationphotos) and the actual text of user reviews. This gives your agent all the material it needs for a complete profile.

Q: Does TripAdvisor support searching multiple categories with OpenAI Agents SDK?

Yes, the searchlocation tool handles hotels, restaurants, and attractions in one go. You only need to specify the name or address, and it finds everything relevant.

Instantly build production agents that find anywhere from local diners to global attractions with OpenAI Agents SDK.

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Connect TripAdvisor MCP to OpenAI Agents SDK

Create your Vinkius account to connect TripAdvisor 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.

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Setup TripAdvisor with OpenAI Agents SDK

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Find and Detail Specific Places

Use `search_location` when you need a starting point. You can search for hotels, restaurants, or attractions just by name or address. If the agent finds a matching POI ID, it runs `get_location_details` to pull all the deep-dive data, like operating hours and full descriptions. This lets your agents quickly map out an itinerary. Instead of just giving coordinates, they give specific context for why that location matters.

Analyze User Sentiment

Need to know what people think? The `get_location_reviews` tool pulls the latest user reviews right onto your agent's task list. Your AI client can then summarize sentiment, flagging any repeated complaints or praise points. It doesn't just dump text; it processes real-time feedback so you know exactly which places need a call out.

Build Local Maps on the Fly

The `get_nearby_locations` tool is perfect for localized tasks. You feed it geographic coordinates, and it returns all relevant POIs in that radius. The agent can then decide if those nearby spots are worth calling out to the user. This capability makes your system act like a real concierge—always aware of what's right around the corner.

Setup guide

Set up TripAdvisor MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all TripAdvisor tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives TripAdvisor tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate TripAdvisor tools and returns structured results. Copy the full example on the right to get started.

agent.py

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="TripAdvisor Agent",
            instructions="You have access to TripAdvisor tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about TripAdvisor MCP in OpenAI Agents SDK

The MCP Server exposes five tools that let your agent interact with TripAdvisor data. Your AI client discovers these methods automatically, letting you write code focused on the business logic, not API calls.

Absolutely. The `get_nearby_locations` tool takes coordinates as input, allowing your agent to search for points of interest immediately surrounding any given location.

You get deep details via `get_location_details`, plus professional photos (`get_location_photos`) and the actual text of user reviews. This gives your agent all the material it needs for a complete profile.

Yes, the `search_location` tool handles hotels, restaurants, and attractions in one go. You only need to specify the name or address, and it finds everything relevant.

This server primarily touches Location IDs, which are used as primary keys for all retrieved POI information. The agent treats these IDs like internal pointers to the location data.

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