# How to integrate Tripadvisor content api MCP with Mastra AI ```json { "title": "How to integrate Tripadvisor content api MCP with Mastra AI", "toolkit": "Tripadvisor content api", "toolkit_slug": "tripadvisor_content_api", "framework": "Mastra AI", "framework_slug": "mastra-ai", "url": "https://composio.dev/toolkits/tripadvisor_content_api/framework/mastra-ai", "markdown_url": "https://composio.dev/toolkits/tripadvisor_content_api/framework/mastra-ai.md", "updated_at": "2026-05-12T10:29:06.856Z" } ``` ## Introduction This guide walks you through connecting Tripadvisor content api to Mastra AI using the Composio tool router. By the end, you'll have a working Tripadvisor content api agent that can find top-rated restaurants in rome, show recent photos of eiffel tower, list hotels near times square nyc through natural language commands. This guide will help you understand how to give your Mastra AI agent real control over a Tripadvisor content api account through Composio's Tripadvisor content api MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Tripadvisor content api with - [OpenAI Agents SDK](https://composio.dev/toolkits/tripadvisor_content_api/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/tripadvisor_content_api/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/tripadvisor_content_api/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/tripadvisor_content_api/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/tripadvisor_content_api/framework/codex) - [OpenClaw](https://composio.dev/toolkits/tripadvisor_content_api/framework/openclaw) - [Hermes](https://composio.dev/toolkits/tripadvisor_content_api/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/tripadvisor_content_api/framework/cli) - [Google ADK](https://composio.dev/toolkits/tripadvisor_content_api/framework/google-adk) - [LangChain](https://composio.dev/toolkits/tripadvisor_content_api/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/tripadvisor_content_api/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/tripadvisor_content_api/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/tripadvisor_content_api/framework/crew-ai) ## TL;DR Here's what you'll learn: - Set up your environment so Mastra, OpenAI, and Composio work together - Create a Tool Router session in Composio that exposes Tripadvisor content api tools - Connect Mastra's MCP client to the Composio generated MCP URL - Fetch Tripadvisor content api tool definitions and attach them as a toolset - Build a Mastra agent that can reason, call tools, and return structured results - Run an interactive CLI where you can chat with your Tripadvisor content api agent ## What is Mastra AI? Mastra AI is a TypeScript framework for building AI agents with tool support. It provides a clean API for creating agents that can use external services through MCP. Key features include: - MCP Client: Built-in support for Model Context Protocol servers - Toolsets: Organize tools into logical groups - Step Callbacks: Monitor and debug agent execution - OpenAI Integration: Works with OpenAI models via @ai-sdk/openai ## What is the Tripadvisor content api MCP server, and what's possible with it? The Tripadvisor content api MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Tripadvisor content api account. It provides structured and secure access to Tripadvisor’s massive travel data, so your agent can search destinations, retrieve location details, and fetch high-quality photos from the world’s largest travel platform on your behalf. - Location search and discovery: Instantly have your agent find detailed information on hotels, attractions, restaurants, and more by name or keyword. - Photo retrieval for destinations: Fetch recent, high-quality images for any Tripadvisor location to enhance travel recommendations or trip planning experiences. - Multi-language data access: Access content and reviews in up to 29 languages, making it easy to build global-ready applications and assistants. - Trip planning assistance: Enable your agent to suggest popular spots, review ratings, and gather visual inspiration for any itinerary or travel question. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `TRIPADVISOR_CONTENT_API_GET_LOCATION_DETAILS` | Get Location Details | Tool to get comprehensive information about a location (hotel, restaurant, or attraction) including name, address, rating, and contact details. Use when you need detailed information about a specific TripAdvisor location. | | `TRIPADVISOR_CONTENT_API_GET_LOCATION_PHOTOS_V2` | Get Location Photos (Enhanced) | Tool to retrieve up to 5 high-quality photos for a specific location with complete metadata and pagination support. Use when you need detailed photo information including user details, source filtering, and pagination. Photos are ordered by recency. | | `TRIPADVISOR_CONTENT_API_GET_LOCATION_REVIEWS` | Get Location Reviews | Tool to retrieve up to 5 of the most recent reviews for a specific location. Use when you need customer feedback, ratings, or review content for a TripAdvisor location. | | `TRIPADVISOR_CONTENT_API_SEARCH_LOCATIONS2` | Search Locations (Advanced) | Tool to search for TripAdvisor locations with advanced filtering options. Use when you need to find locations by name, category, phone, address, or coordinates with radius-based filtering. | | `TRIPADVISOR_CONTENT_API_SEARCH_NEARBY_LOCATIONS` | Search Nearby Locations | Tool to search for locations near a specified latitude/longitude. Returns up to 10 locations with optional filtering by category, phone, or address. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Tripadvisor content api MCP server is an implementation of the Model Context Protocol that connects your AI agent to Tripadvisor content api. It provides structured and secure access so your agent can perform Tripadvisor content api operations on your behalf through a secure, permission-based interface. With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster. ## Step-by-step Guide ### 1. Prerequisites Before starting, make sure you have: - Node.js 18 or higher - A Composio account with an active API key - An OpenAI API key - Basic familiarity with TypeScript ### 1. Getting API Keys for OpenAI and Composio OpenAI API Key - Go to the [OpenAI dashboard](https://platform.openai.com/settings/organization/api-keys) and create an API key. - You need credits or a connected billing setup to use the models. - Store the key somewhere safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Go to Settings and copy your API key. - This key lets your Mastra agent talk to Composio and reach Tripadvisor content api through MCP. ### 2. Install dependencies Install the required packages. What's happening: - @composio/core is the Composio SDK for creating MCP sessions - @mastra/core provides the Agent class - @mastra/mcp is Mastra's MCP client - @ai-sdk/openai is the model wrapper for OpenAI - dotenv loads environment variables from .env ```bash npm install @composio/core @mastra/core @mastra/mcp @ai-sdk/openai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's happening: - COMPOSIO_API_KEY authenticates your requests to Composio - COMPOSIO_USER_ID tells Composio which user this session belongs to - OPENAI_API_KEY lets the Mastra agent call OpenAI models ```bash COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here OPENAI_API_KEY=your_openai_api_key_here ``` ### 4. Import libraries and validate environment What's happening: - dotenv/config auto loads your .env so process.env.* is available - openai gives you a Mastra compatible model wrapper - Agent is the Mastra agent that will call tools and produce answers - MCPClient connects Mastra to your Composio MCP server - Composio is used to create a Tool Router session ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Agent } from "@mastra/core/agent"; import { MCPClient } from "@mastra/mcp"; import { Composio } from "@composio/core"; import * as readline from "readline"; import type { AiMessageType } from "@mastra/core/agent"; const openaiAPIKey = process.env.OPENAI_API_KEY; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey as string, }); ``` ### 5. Create a Tool Router session for Tripadvisor content api What's happening: - create spins up a short-lived MCP HTTP endpoint for this user - The toolkits array contains "tripadvisor_content_api" for Tripadvisor content api access - session.mcp.url is the MCP URL that Mastra's MCPClient will connect to ```typescript async function main() { const session = await composio.create( composioUserID as string, { toolkits: ["tripadvisor_content_api"], }, ); const composioMCPUrl = session.mcp.url; console.log("Tripadvisor content api MCP URL:", composioMCPUrl); ``` ### 6. Configure Mastra MCP client and fetch tools What's happening: - MCPClient takes an id for this client and a list of MCP servers - The headers property includes the x-api-key for authentication - getTools fetches the tool definitions exposed by the Tripadvisor content api toolkit ```typescript const mcpClient = new MCPClient({ id: composioUserID as string, servers: { nasdaq: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); console.log("Fetching MCP tools from Composio..."); const composioTools = await mcpClient.getTools(); console.log("Number of tools:", Object.keys(composioTools).length); ``` ### 7. Create the Mastra agent What's happening: - Agent is the core Mastra agent - name is just an identifier for logging and debugging - instructions guide the agent to use tools instead of only answering in natural language - model uses openai("gpt-5") to configure the underlying LLM ```typescript const agent = new Agent({ name: "tripadvisor_content_api-mastra-agent", instructions: "You are an AI agent with Tripadvisor content api tools via Composio.", model: "openai/gpt-5", }); ``` ### 8. Set up interactive chat interface What's happening: - messages keeps the full conversation history in Mastra's expected format - agent.generate runs the agent with conversation history and Tripadvisor content api toolsets - maxSteps limits how many tool calls the agent can take in a single run - onStepFinish is a hook that prints intermediate steps for debugging ```typescript let messages: AiMessageType[] = []; console.log("Chat started! Type 'exit' or 'quit' to end.\n"); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (userInput: string) => { const trimmedInput = userInput.trim(); if (["exit", "quit", "bye"].includes(trimmedInput.toLowerCase())) { console.log("\nGoodbye!"); rl.close(); process.exit(0); } if (!trimmedInput) { rl.prompt(); return; } messages.push({ id: crypto.randomUUID(), role: "user", content: trimmedInput, }); console.log("\nAgent is thinking...\n"); try { const response = await agent.generate(messages, { toolsets: { tripadvisor_content_api: composioTools, }, maxSteps: 8, }); const { text } = response; if (text && text.trim().length > 0) { console.log(`Agent: ${text}\n`); messages.push({ id: crypto.randomUUID(), role: "assistant", content: text, }); } } catch (error) { console.error("\nError:", error); } rl.prompt(); }); rl.on("close", async () => { console.log("\nSession ended."); await mcpClient.disconnect(); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Complete Code ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Agent } from "@mastra/core/agent"; import { MCPClient } from "@mastra/mcp"; import { Composio } from "@composio/core"; import * as readline from "readline"; import type { AiMessageType } from "@mastra/core/agent"; const openaiAPIKey = process.env.OPENAI_API_KEY; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!openaiAPIKey) throw new Error("OPENAI_API_KEY is not set"); if (!composioAPIKey) throw new Error("COMPOSIO_API_KEY is not set"); if (!composioUserID) throw new Error("COMPOSIO_USER_ID is not set"); const composio = new Composio({ apiKey: composioAPIKey as string }); async function main() { const session = await composio.create(composioUserID as string, { toolkits: ["tripadvisor_content_api"], }); const composioMCPUrl = session.mcp.url; const mcpClient = new MCPClient({ id: composioUserID as string, servers: { tripadvisor_content_api: { url: new URL(composioMCPUrl), requestInit: { headers: session.mcp.headers, }, }, }, timeout: 30_000, }); const composioTools = await mcpClient.getTools(); const agent = new Agent({ name: "tripadvisor_content_api-mastra-agent", instructions: "You are an AI agent with Tripadvisor content api tools via Composio.", model: "openai/gpt-5", }); let messages: AiMessageType[] = []; const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); rl.on("line", async (input: string) => { const trimmed = input.trim(); if (["exit", "quit"].includes(trimmed.toLowerCase())) { rl.close(); return; } messages.push({ id: crypto.randomUUID(), role: "user", content: trimmed }); const { text } = await agent.generate(messages, { toolsets: { tripadvisor_content_api: composioTools }, maxSteps: 8, }); if (text) { console.log(`Agent: ${text}\n`); messages.push({ id: crypto.randomUUID(), role: "assistant", content: text }); } rl.prompt(); }); rl.on("close", async () => { await mcpClient.disconnect(); process.exit(0); }); } main(); ``` ## Conclusion You've built a Mastra AI agent that can interact with Tripadvisor content api through Composio's Tool Router. You can extend this further by: - Adding other toolkits like Gmail, Slack, or GitHub - Building a web-based chat interface around this agent - Using multiple MCP endpoints to enable cross-app workflows ## How to build Tripadvisor content api MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/tripadvisor_content_api/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/tripadvisor_content_api/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/tripadvisor_content_api/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/tripadvisor_content_api/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/tripadvisor_content_api/framework/codex) - [OpenClaw](https://composio.dev/toolkits/tripadvisor_content_api/framework/openclaw) - [Hermes](https://composio.dev/toolkits/tripadvisor_content_api/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/tripadvisor_content_api/framework/cli) - [Google ADK](https://composio.dev/toolkits/tripadvisor_content_api/framework/google-adk) - [LangChain](https://composio.dev/toolkits/tripadvisor_content_api/framework/langchain) - [Vercel AI SDK](https://composio.dev/toolkits/tripadvisor_content_api/framework/ai-sdk) - [LlamaIndex](https://composio.dev/toolkits/tripadvisor_content_api/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/tripadvisor_content_api/framework/crew-ai) ## Related Toolkits - [Excel](https://composio.dev/toolkits/excel) - Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management. - [21risk](https://composio.dev/toolkits/_21risk) - 21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters. - [Abstract](https://composio.dev/toolkits/abstract) - Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort. - [Addressfinder](https://composio.dev/toolkits/addressfinder) - Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time. - [Agenty](https://composio.dev/toolkits/agenty) - Agenty is a web scraping and automation platform for extracting data and automating browser tasks—no coding needed. 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Get unified, reliable access to complex on-chain data for analytics, trading, and research. - [Brightdata](https://composio.dev/toolkits/brightdata) - Brightdata is a leading web data platform offering advanced scraping, SERP APIs, and anti-bot tools. It lets you collect public web data at scale, bypassing blocks and friction. - [Builtwith](https://composio.dev/toolkits/builtwith) - BuiltWith is a web technology profiler that uncovers the technologies powering any website. Gain actionable insights into analytics, hosting, and content management stacks for smarter research and lead generation. - [Byteforms](https://composio.dev/toolkits/byteforms) - Byteforms is an all-in-one platform for creating forms, managing submissions, and integrating data. It streamlines workflows by centralizing form data collection and automation. - [Cabinpanda](https://composio.dev/toolkits/cabinpanda) - Cabinpanda is a data collection platform for building and managing online forms. It helps streamline how you gather, organize, and analyze responses. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Tripadvisor content api MCP? With a standalone Tripadvisor content api MCP server, the agents and LLMs can only access a fixed set of Tripadvisor content api tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Tripadvisor content api and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Mastra AI? Yes, you can. Mastra AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Tripadvisor content api tools. ### Can I manage the permissions and scopes for Tripadvisor content api while using Tool Router? Yes, absolutely. You can configure which Tripadvisor content api scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do. ### How safe is my data with Composio Tool Router? All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Tripadvisor content api data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)