# How to integrate Ticketmaster MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Ticketmaster MCP with Vercel AI SDK v6", "toolkit": "Ticketmaster", "toolkit_slug": "ticketmaster", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/ticketmaster/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/ticketmaster/framework/ai-sdk.md", "updated_at": "2026-05-12T10:28:25.248Z" } ``` ## Introduction This guide walks you through connecting Ticketmaster to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Ticketmaster agent that can find concerts happening in new york this weekend, get details about taylor swift's upcoming shows, list comedy events in los angeles next month through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Ticketmaster account through Composio's Ticketmaster MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Ticketmaster with - [OpenAI Agents SDK](https://composio.dev/toolkits/ticketmaster/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ticketmaster/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ticketmaster/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ticketmaster/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ticketmaster/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ticketmaster/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ticketmaster/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ticketmaster/framework/cli) - [Google ADK](https://composio.dev/toolkits/ticketmaster/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ticketmaster/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/ticketmaster/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ticketmaster/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/ticketmaster/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Ticketmaster integration - Using Composio's Tool Router to dynamically load and access Ticketmaster tools - Creating an MCP client connection using HTTP transport - Building an interactive CLI chat interface with conversation history management - Handling tool calls and results within the Vercel AI SDK framework ## What is Vercel AI SDK? The Vercel AI SDK is a TypeScript library for building AI-powered applications. It provides tools for creating agents that can use external services and maintain conversation state. Key features include: - streamText: Core function for streaming responses with real-time tool support - MCP Client: Built-in support for Model Context Protocol via @ai-sdk/mcp - Step Counting: Control multi-step tool execution with stopWhen: stepCountIs() - OpenAI Provider: Native integration with OpenAI models ## What is the Ticketmaster MCP server, and what's possible with it? The Ticketmaster MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Ticketmaster account. It provides structured and secure access to Ticketmaster's event and ticketing APIs, so your agent can search events, fetch details for attractions or venues, suggest events, and help manage event classifications on your behalf. - Event discovery and search: Effortlessly ask your agent to find concerts, sports games, or shows by keyword, location, date, or genre using advanced filters. - Attraction and performer lookup: Retrieve detailed information about artists, teams, or performers to help with recommendations and event planning. - Event detail retrieval: Get comprehensive information for any specific event, including venue, time, ticket availability, and more. - Smart suggestions and autocomplete: Instantly get auto-complete suggestions for attractions, venues, or events based on partial queries or interests. - Event classification management: Explore and organize events by classification, genre, segment, or subgenre to power more personalized searches and recommendations. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `TICKETMASTER_EXECUTE_SEASON_TICKETING_COMMAND` | Execute Season Ticketing Command | Tool to execute Season Ticketing API commands for ticket management operations. Use when you need to interact with Ticketmaster's Archtics Season Ticketing system for administrative tasks, account management, or event discovery. Supports commands: ping (test connectivity), customer_query (get account info), seats_sold (retrieve sold seat details), event_search (search events), event_details (get event attributes), get_attendance (retrieve attendance data). Note: API may return 202 ACCEPTED for asynchronous operations - caller must poll with provided cookies until receiving 200 OK response. | | `TICKETMASTER_GET_ATTRACTION_DETAILS2` | Get Attraction Details V2 | Tool to retrieve detailed information about a specific attraction by ID from Ticketmaster Discovery API v2. Use when you need attraction details with optional licensed content filtering. | | `TICKETMASTER_GET_ATTRACTIONS` | Get Ticketmaster Attractions | Tool to retrieve a list of attractions. Use when you need to search for artists, teams, or performers by various criteria such as keyword, classification, or country. | | `TICKETMASTER_GET_CLASSIFICATION_DETAILS` | Get Classification Details | Tool to retrieve detailed information about a specific classification. Use after obtaining a classification ID. | | `TICKETMASTER_GET_CLASSIFICATIONS` | Get Classifications | Retrieves event classifications from Ticketmaster's Discovery API. Classifications provide a hierarchical taxonomy for categorizing events: - Segment: Top-level category (Music, Sports, Arts & Theater, Family, Film, Miscellaneous) - Genre: Secondary category within a segment (e.g., Rock, Baseball, Comedy) - Subgenre: Tertiary category for specific classification (e.g., Alternative Rock, MLB) Use this tool to discover available categories before searching for events, or to understand how events are organized in the Ticketmaster system. The classifications can be filtered by locale, country, or specific classification ID. | | `TICKETMASTER_GET_EVENT_DETAILS` | Get Event Details | Tool to retrieve detailed information about a specific event by ID. Use when you have an event's unique identifier and need its full details. | | `TICKETMASTER_GET_EVENT_IMAGES` | Get Event Images | Tool to retrieve images for a specific event by ID. Use when you need to fetch image URLs and metadata for an event. | | `TICKETMASTER_GET_EVENTS` | Search Events | Search for events on Ticketmaster using various filters including location, date range, keywords, classifications, and more. This action queries the Ticketmaster Discovery API to find events matching your criteria. Results are paginated and can be sorted. Use this when you need to: search for concerts/shows/games, find events in a specific location, filter by date range, or discover events by artist/venue. Key capabilities: - Location search: by city, state, postal code, lat/long, or radius - Time filtering: events within date ranges or on-sale dates - Classification: filter by segment (Music/Sports/Arts), genre, subgenre - Keyword search: find events by name or description - Venue/Attraction: get events at specific venues or by specific artists/teams Note: Deep paging limit - size * page must be < 1000. Maximum 200 results per page. | | `TICKETMASTER_GET_GENRE_DETAILS` | Get Genre Details | Tool to retrieve detailed information about a specific genre. Use when you need metadata for a single genre before filtering events by genre. | | `TICKETMASTER_GET_SECTION_MAP_IMAGE` | Get Section Map Image | Tool to retrieve the section map image for an event showing venue layout. Use when you need a visual representation of a venue's seating sections for a specific event. Optionally highlights specific sections or seats. | | `TICKETMASTER_GET_SEGMENT_DETAILS` | Get Segment Details | Retrieve detailed information about a specific Ticketmaster event segment, including all associated genres and subgenres. Segments are the top-level classification categories for events (e.g., Music, Sports, Arts & Theatre, Family, Film, Miscellaneous). This action returns the segment's metadata along with a complete list of genres and their subgenres that fall under this segment. Use this action after obtaining a segment ID from Get Classifications or from event classification data. | | `TICKETMASTER_GET_SUBGENRE_DETAILS` | Get Subgenre Details | Tool to retrieve detailed information about a specific subgenre. Use when you have a subgenre ID and need its details. | | `TICKETMASTER_GET_SUGGESTIONS2` | Get Advanced Suggestions | Get advanced auto-complete search suggestions from Ticketmaster's Discovery API. Returns matching attractions (artists, teams, performers), venues (concert halls, stadiums, theaters), and events based on search criteria with extensive filtering options. Use this when you need more control over suggestions including location filtering, source filtering, fuzzy matching, and spell checking. Perfect for implementing type-ahead search functionality with advanced filters or helping users discover entertainment options based on location, segment, and other criteria. | | `TICKETMASTER_GET_VENUE_DETAILS2` | Get Venue Details (Enhanced) | Tool to retrieve comprehensive details about a specific venue by ID. Use when you need detailed venue information including location, box office info, images, and social media data. | | `TICKETMASTER_GET_VENUES` | Get Venues | Tool to retrieve a list of venues based on specified criteria. Use when you need venue details by name, location, or ID. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Ticketmaster MCP server is an implementation of the Model Context Protocol that connects your AI agent to Ticketmaster. It provides structured and secure access so your agent can perform Ticketmaster 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 you begin, make sure you have: - Node.js and npm installed - A Composio account with API key - An OpenAI API key ### 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'll need credits to use the models, or you can connect to another model provider. - Keep the API key safe. Composio API Key - Log in to the [Composio dashboard](https://dashboard.composio.dev?utm_source=toolkits&utm_medium=framework_docs). - Navigate to your API settings and generate a new API key. - Store this key securely as you'll need it for authentication. ### 2. Install required dependencies First, install the necessary packages for your project. What you're installing: - @ai-sdk/openai: Vercel AI SDK's OpenAI provider - @ai-sdk/mcp: MCP client for Vercel AI SDK - @composio/core: Composio SDK for tool integration - ai: Core Vercel AI SDK - dotenv: Environment variable management ```bash npm install @ai-sdk/openai @ai-sdk/mcp @composio/core ai dotenv ``` ### 3. Set up environment variables Create a .env file in your project root. What's needed: - OPENAI_API_KEY: Your OpenAI API key for GPT model access - COMPOSIO_API_KEY: Your Composio API key for tool access - COMPOSIO_USER_ID: A unique identifier for the user session ```bash OPENAI_API_KEY=your_openai_api_key_here COMPOSIO_API_KEY=your_composio_api_key_here COMPOSIO_USER_ID=your_user_id_here ``` ### 4. Import required modules and validate environment What's happening: - We're importing all necessary libraries including Vercel AI SDK's OpenAI provider and Composio - The dotenv/config import automatically loads environment variables - The MCP client import enables connection to Composio's tool server ```typescript import "dotenv/config"; import { openai } from "@ai-sdk/openai"; import { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) 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, }); ``` ### 5. Create Tool Router session and initialize MCP client What's happening: - We're creating a Tool Router session that gives your agent access to Ticketmaster tools - The create method takes the user ID and specifies which toolkits should be available - The returned mcp object contains the URL and authentication headers needed to connect to the MCP server - This session provides access to all Ticketmaster-related tools through the MCP protocol ```typescript async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["ticketmaster"], }); const mcpUrl = session.mcp.url; ``` ### 6. Connect to MCP server and retrieve tools What's happening: - We're creating an MCP client that connects to our Composio Tool Router session via HTTP - The mcp.url provides the endpoint, and mcp.headers contains authentication credentials - The type: "http" is important - Composio requires HTTP transport - tools() retrieves all available Ticketmaster tools that the agent can use ```typescript const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); ``` ### 7. Initialize conversation and CLI interface What's happening: - We initialize an empty messages array to maintain conversation history - A readline interface is created to accept user input from the command line - Instructions are displayed to guide the user on how to interact with the agent ```typescript let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to ticketmaster, like summarize my last 5 emails, send an email, etc... :)))\n", ); const rl = readline.createInterface({ input: process.stdin, output: process.stdout, prompt: "> ", }); rl.prompt(); ``` ### 8. Handle user input and stream responses with real-time tool feedback What's happening: - We use streamText instead of generateText to stream responses in real-time - toolChoice: "auto" allows the model to decide when to use Ticketmaster tools - stopWhen: stepCountIs(10) allows up to 10 steps for complex multi-tool operations - onStepFinish callback displays which tools are being used in real-time - We iterate through the text stream to create a typewriter effect as the agent responds - The complete response is added to conversation history to maintain context - Errors are caught and displayed with helpful retry suggestions ```typescript 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({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n๐Ÿ‘‹ Session ended."); 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 { Composio } from "@composio/core"; import * as readline from "readline"; import { streamText, type ModelMessage, stepCountIs } from "ai"; import { createMCPClient } from "@ai-sdk/mcp"; const composioAPIKey = process.env.COMPOSIO_API_KEY; const composioUserID = process.env.COMPOSIO_USER_ID; if (!process.env.OPENAI_API_KEY) 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, }); async function main() { // Create a tool router session for the user const session = await composio.create(composioUserID!, { toolkits: ["ticketmaster"], }); const mcpUrl = session.mcp.url; const mcpClient = await createMCPClient({ transport: { type: "http", url: mcpUrl, headers: session.mcp.headers, // Authentication headers for the Composio MCP server }, }); const tools = await mcpClient.tools(); let messages: ModelMessage[] = []; console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n"); console.log( "Ask any questions related to ticketmaster, like summarize my last 5 emails, send an email, etc... :)))\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({ role: "user", content: trimmedInput }); console.log("\nAgent is thinking...\n"); try { const stream = streamText({ model: openai("gpt-5"), messages, tools, toolChoice: "auto", stopWhen: stepCountIs(10), onStepFinish: (step) => { for (const toolCall of step.toolCalls) { console.log(`[Using tool: ${toolCall.toolName}]`); } if (step.toolCalls.length > 0) { console.log(""); // Add space after tool calls } }, }); for await (const chunk of stream.textStream) { process.stdout.write(chunk); } console.log("\n\n---\n"); // Get final result for message history const response = await stream.response; if (response?.messages?.length) { messages.push(...response.messages); } } catch (error) { console.error("\nAn error occurred while talking to the agent:"); console.error(error); console.log( "\nYou can try again or restart the app if it keeps happening.\n", ); } finally { rl.prompt(); } }); rl.on("close", async () => { await mcpClient.close(); console.log("\n๐Ÿ‘‹ Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Ticketmaster agent using the Vercel AI SDK with streaming capabilities! This implementation provides a powerful foundation for building AI applications with natural language interfaces and real-time feedback. Key features of this implementation: - Real-time streaming responses for a better user experience with typewriter effect - Live tool execution feedback showing which tools are being used as the agent works - Dynamic tool loading through Composio's Tool Router with secure authentication - Multi-step tool execution with configurable step limits (up to 10 steps) - Comprehensive error handling for robust agent execution - Conversation history maintenance for context-aware responses You can extend this further by adding custom error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows. ## How to build Ticketmaster MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/ticketmaster/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/ticketmaster/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/ticketmaster/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/ticketmaster/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/ticketmaster/framework/codex) - [OpenClaw](https://composio.dev/toolkits/ticketmaster/framework/openclaw) - [Hermes](https://composio.dev/toolkits/ticketmaster/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/ticketmaster/framework/cli) - [Google ADK](https://composio.dev/toolkits/ticketmaster/framework/google-adk) - [LangChain](https://composio.dev/toolkits/ticketmaster/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/ticketmaster/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/ticketmaster/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/ticketmaster/framework/crew-ai) ## Related Toolkits - [Youtube](https://composio.dev/toolkits/youtube) - YouTube is a leading video-sharing platform for uploading, streaming, and discovering content. It empowers creators and businesses to reach global audiences and monetize their work. - [Amara](https://composio.dev/toolkits/amara) - Amara is a collaborative platform for creating and managing subtitles and captions for videos. It helps make content accessible and multilingual for global audiences. - [Cats](https://composio.dev/toolkits/cats) - Cats is an API with a huge library of cat images, breed data, and cat facts. It makes finding adorable cat photos and trivia effortless for your apps and users. - [Chatfai](https://composio.dev/toolkits/chatfai) - Chatfai is an AI platform that lets users talk to AI versions of fictional characters from books, movies, and games. It offers an engaging, interactive experience for fans to chat, roleplay, and explore creative dialogues. - [Cincopa](https://composio.dev/toolkits/cincopa) - Cincopa is a multimedia platform for uploading, managing, and customizing videos, images, and audio. It helps you deliver engaging media experiences with robust APIs and flexible integrations. - [Dungeon fighter online](https://composio.dev/toolkits/dungeon_fighter_online) - Dungeon Fighter Online (DFO) is an arcade-style, side-scrolling action RPG packed with dynamic combat and progression. Play solo or with friends to battle monsters, complete quests, and upgrade your characters. - [Elevenlabs](https://composio.dev/toolkits/elevenlabs) - Elevenlabs is an advanced AI voice generation platform for lifelike, multilingual speech synthesis. Perfect for creating natural voices for videos, apps, and business content in seconds. - [Elevenreader](https://composio.dev/toolkits/elevenreader) - Elevenreader is an AI-powered text-to-speech service by ElevenLabs that converts written content into lifelike audio. It enables fast, natural audio generation from any text. - [Epic games](https://composio.dev/toolkits/epic_games) - Epic Games is a leading video game publisher and digital storefront, known for Fortnite and Unreal Engine. It lets gamers access, manage, and purchase games all in one place. - [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools. - [Giphy](https://composio.dev/toolkits/giphy) - Giphy is the largest online library for searching and sharing GIFs and stickers. Instantly add vibrant animated content to your apps, chats, and workflows. - [Headout](https://composio.dev/toolkits/headout) - Headout is a global platform for booking travel experiences, tours, and entertainment. It helps users discover and secure activities at top destinations, all in one place. - [Imagekit io](https://composio.dev/toolkits/imagekit_io) - ImageKit.io is a cloud-based media management platform for image and video delivery. Instantly optimize, transform, and deliver visuals globally via a lightning-fast CDN. - [Listennotes](https://composio.dev/toolkits/listennotes) - Listennotes is a powerful podcast search engine with a massive global database. Discover, search, and curate podcasts from around the world in seconds. - [News api](https://composio.dev/toolkits/news_api) - News api is a REST API for searching and retrieving live news articles from across the web. Instantly access headlines, coverage, and breaking stories from thousands of sources. - [RAWG Video Games Database](https://composio.dev/toolkits/rawg_video_games_database) - RAWG Video Games Database is the largest video game discovery and info service. Instantly access comprehensive details, ratings, and release dates for thousands of games. - [Seat geek](https://composio.dev/toolkits/seat_geek) - SeatGeek is a live event platform offering APIs for concerts, sports, and theater data. Instantly access events, venues, and performers info for smarter ticketing and discovery. - [Shotstack](https://composio.dev/toolkits/shotstack) - Shotstack is a cloud platform for programmatically generating videos, images, and audio. Automate creative content production at scale with flexible RESTful APIs. - [Spotify](https://composio.dev/toolkits/spotify) - Spotify is a streaming service for music and podcasts with millions of tracks from artists worldwide. Enjoy personalized playlists, recommendations, and seamless listening across all your devices. - [Gmail](https://composio.dev/toolkits/gmail) - Gmail is Google's email service with powerful spam protection, search, and G Suite integration. It keeps your inbox organized and makes communication fast and reliable. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Ticketmaster MCP? With a standalone Ticketmaster MCP server, the agents and LLMs can only access a fixed set of Ticketmaster tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Ticketmaster and many other apps based on the task at hand, all through a single MCP endpoint. ### Can I use Tool Router MCP with Vercel AI SDK v6? Yes, you can. Vercel AI SDK v6 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 Ticketmaster tools. ### Can I manage the permissions and scopes for Ticketmaster while using Tool Router? Yes, absolutely. You can configure which Ticketmaster 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 Ticketmaster data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) ยท [Composio docs](https://docs.composio.dev/llms.txt)