# How to integrate Seat geek MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Seat geek MCP with Vercel AI SDK v6", "toolkit": "Seat geek", "toolkit_slug": "seat_geek", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/seat_geek/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/seat_geek/framework/ai-sdk.md", "updated_at": "2026-05-12T10:24:58.522Z" } ``` ## Introduction This guide walks you through connecting Seat geek to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Seat geek agent that can find concerts happening in new york this weekend, show me available seats for taylor swift’s next show, recommend sports events near san francisco next month through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Seat geek account through Composio's Seat geek MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Seat geek with - [OpenAI Agents SDK](https://composio.dev/toolkits/seat_geek/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/seat_geek/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/seat_geek/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/seat_geek/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/seat_geek/framework/codex) - [OpenClaw](https://composio.dev/toolkits/seat_geek/framework/openclaw) - [Hermes](https://composio.dev/toolkits/seat_geek/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/seat_geek/framework/cli) - [Google ADK](https://composio.dev/toolkits/seat_geek/framework/google-adk) - [LangChain](https://composio.dev/toolkits/seat_geek/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/seat_geek/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/seat_geek/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/seat_geek/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Seat geek integration - Using Composio's Tool Router to dynamically load and access Seat geek 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 Seat geek MCP server, and what's possible with it? The Seat geek MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to SeatGeek's event and ticketing platform. It provides structured and secure access to real-time event listings, performer info, venues, and recommendations—so your agent can search events, fetch performer or venue details, get personalized recommendations, and explore seating options on your behalf. - Event discovery and search: Instantly search for concerts, sports games, theater shows, and more by performer, venue, location, or date to find upcoming live entertainment that matches your preferences. - Venue and seating insights: Retrieve detailed information about venues, including seating charts and available sections or rows, so your agent can help you choose the best seats for any event. - Performer exploration and recommendations: Get in-depth details about your favorite artists, teams, or entertainers, and discover similar performers or new acts you might enjoy based on your interests. - Personalized event recommendations: Ask your agent to suggest events tailored to your tastes, location, or favorite performers, making it easy to find something you'll love. - Event category browsing: Explore a rich taxonomy of event types, from concerts and sports to theater and comedy, enabling your agent to filter and recommend experiences across all entertainment genres. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `SEAT_GEEK_GET_EVENT_DETAILS` | Get Event Details | Get comprehensive details about a specific event including venue, performers, date/time (in local venue time), ticket information, and a SeatGeek event URL. Performer and venue fields are basic summaries; use SEAT_GEEK_GET_PERFORMER_DETAILS or SEAT_GEEK_GET_VENUE_DETAILS for additional depth. For similarly named or recurring events, cross-check date, venue, league, and competition fields to confirm the correct event. | | `SEAT_GEEK_GET_EVENT_RECOMMENDATIONS` | Get Event Recommendations | Get personalized event recommendations based on your favorite performers, events, or location. Discover new events you might enjoy. | | `SEAT_GEEK_GET_EVENT_SEATING` | Get Event Seating Information | Get section and row layout information for a specific event's venue. Returns available sections (e.g., '101', 'floor', 'suite-14') mapped to their row identifiers. IMPORTANT: Only works for events at major venues with seating maps (stadiums, arenas). Small venue concerts or general admission events will return a 404 error. Use SEAT_GEEK_SEARCH_EVENTS with taxonomies_name='sports' to find events that have seating data. | | `SEAT_GEEK_GET_PERFORMER_DETAILS` | Get Performer Details | Retrieves detailed information about a specific performer (artist, sports team, or theatrical production) from SeatGeek by their unique ID. Returns comprehensive data including performer name, type, images, popularity scores, upcoming event counts, genre/taxonomy classifications, and ticket URLs. Does not include box scores, match statistics, or performance stats. Use this action when you need fields beyond the basic performer info already embedded in event details (e.g., popularity scores, full taxonomy, upcoming event counts). To find performer IDs, first use the search_performers action to search by name. | | `SEAT_GEEK_GET_PERFORMER_RECOMMENDATIONS` | Get Performer Recommendations | Get recommendations for similar performers based on your interests. Discover new artists, bands, teams, or entertainers you might enjoy. | | `SEAT_GEEK_GET_TAXONOMIES` | Get Event Categories | Get a list of all available event categories and types (taxonomies) used on SeatGeek. Useful for understanding event classification and filtering options. | | `SEAT_GEEK_GET_VENUE_DETAILS` | Get Venue Details | Get detailed venue-specific information (location, address, metadata) beyond what SEAT_GEEK_GET_EVENT_DETAILS already returns. Only call this tool when additional venue fields are needed that are absent from the event details response. | | `SEAT_GEEK_SEARCH_EVENTS` | Search Events | Search for ticketed events on SeatGeek by performers, venues, dates, or general queries. Covers concerts, sports games, theater shows, and other live entertainment. Only indexes ticketed events; empty results may indicate coverage gaps. Avoid over-filtering — start broad and progressively narrow. lat and lon parameters must be supplied together for location-based filtering. | | `SEAT_GEEK_SEARCH_PERFORMERS` | Search Performers | Search for performers including artists, bands, sports teams, comedians, and more. Find your favorite entertainers and see their upcoming events. | | `SEAT_GEEK_SEARCH_VENUES` | Search Venues | Search for venues by location, name, or other criteria. Find stadiums, theaters, concert halls, and other entertainment venues. Supports lat/lon coordinate filtering (both must be provided together). | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Seat geek MCP server is an implementation of the Model Context Protocol that connects your AI agent to Seat geek. It provides structured and secure access so your agent can perform Seat geek 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 Seat geek 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 Seat geek-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: ["seat_geek"], }); 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 Seat geek 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 seat_geek, 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 Seat geek 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("\n👋 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: ["seat_geek"], }); 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 seat_geek, 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("\n👋 Session ended."); process.exit(0); }); } main().catch((err) => { console.error("Fatal error:", err); process.exit(1); }); ``` ## Conclusion You've successfully built a Seat geek 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 Seat geek MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/seat_geek/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/seat_geek/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/seat_geek/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/seat_geek/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/seat_geek/framework/codex) - [OpenClaw](https://composio.dev/toolkits/seat_geek/framework/openclaw) - [Hermes](https://composio.dev/toolkits/seat_geek/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/seat_geek/framework/cli) - [Google ADK](https://composio.dev/toolkits/seat_geek/framework/google-adk) - [LangChain](https://composio.dev/toolkits/seat_geek/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/seat_geek/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/seat_geek/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/seat_geek/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. - [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. - [Ticketmaster](https://composio.dev/toolkits/ticketmaster) - Ticketmaster is a global platform for event discovery, ticket sales, and live entertainment management. Get real-time access to events and streamline ticketing for fans and organizers. - [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 Seat geek MCP? With a standalone Seat geek MCP server, the agents and LLMs can only access a fixed set of Seat geek tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Seat geek 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 Seat geek tools. ### Can I manage the permissions and scopes for Seat geek while using Tool Router? Yes, absolutely. You can configure which Seat geek 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 Seat geek data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)