# How to integrate Evenium MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Evenium MCP with Vercel AI SDK v6", "toolkit": "Evenium", "toolkit_slug": "evenium", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/evenium/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/evenium/framework/ai-sdk.md", "updated_at": "2026-05-12T10:10:43.303Z" } ``` ## Introduction This guide walks you through connecting Evenium to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Evenium agent that can list all upcoming events for this month, find contacts for our annual conference, show all past events i organized through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Evenium account through Composio's Evenium MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Evenium with - [OpenAI Agents SDK](https://composio.dev/toolkits/evenium/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/evenium/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/evenium/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/evenium/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/evenium/framework/codex) - [OpenClaw](https://composio.dev/toolkits/evenium/framework/openclaw) - [Hermes](https://composio.dev/toolkits/evenium/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/evenium/framework/cli) - [Google ADK](https://composio.dev/toolkits/evenium/framework/google-adk) - [LangChain](https://composio.dev/toolkits/evenium/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/evenium/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/evenium/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/evenium/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Evenium integration - Using Composio's Tool Router to dynamically load and access Evenium 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 Evenium MCP server, and what's possible with it? The Evenium MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Evenium account. It provides structured and secure access to your event management data, so your agent can retrieve event details, pull contacts, and manage user sessions on your behalf. - Event listing and retrieval: Quickly fetch a comprehensive list of your upcoming or past events, with optional filters for targeted searches. - Contact management: Effortlessly pull organizer and attendee contact lists to streamline outreach and follow-ups for your events. - Session management and logout: Direct your agent to explicitly log out and invalidate sessions, ensuring enhanced security after event tasks are completed. - Automated event insights: Use AI-powered assistants to analyze and summarize event data, helping you stay organized and make informed decisions. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `EVENIUM_CREATE_CONTACT` | Create Contact | Tool to create a new contact in the Evenium address book. Use when you need to add a new contact with basic information (name, email, company) and optional custom fields. | | `EVENIUM_DELETE_CONTACT` | Delete Contact | Tool to permanently remove a contact from the Evenium address book. Use when you need to delete a contact by their ID. WARNING: This operation is irreversible and deletes all associated guests in cascade. | | `EVENIUM_GET_CONTACT` | Get Contact | Tool to retrieve a single contact by ID from Evenium. Use when you need to fetch details for a specific contact using either Evenium internal ID or custom external ID. | | `EVENIUM_GET_CONTACT_BY_CUSTOM_ID` | Get Contact by Custom ID | Tool to retrieve a specific contact from Evenium by their custom ID (external database ID). Use when you need to look up a contact using an identifier from your own CRM or database system. | | `EVENIUM_GET_CONTACT_EVENTS` | Get Contact Events | Tool to retrieve all events that a contact has been invited to or registered for. Use when you need to see a contact's event history with registration details. | | `EVENIUM_GET_CONTACT_EVENTS_BY_CUSTOM_ID` | Get Contact Events by Custom ID | Retrieves all events a contact has been invited to using their custom ID. Use this when you need to find all events associated with a specific contact identified by a custom ID from your database. | | `EVENIUM_GET_CONTACTS` | Get Contacts | Tool to retrieve a list of contacts from Evenium. Use when you need to fetch and optionally filter organizer contacts. | | `EVENIUM_GET_EVENTS` | Get Events | Retrieves a paginated list of events from Evenium with optional filtering and sorting. Use this to list all events or search for specific events by title, code, or location. Supports pagination via start/limit parameters and sorting via sort/direction parameters. By default, returns active events only; use filter flags to include archived, deleted, or draft events. | | `EVENIUM_IMPORT_CONTACTS` | Import Contacts | Tool to import multiple contacts at once (batch import). Creates new contacts or updates existing ones based on customId or email matching. Use when you need to bulk create or update contacts in Evenium. | | `EVENIUM_LOGOUT` | Logout | Tool to log out the current user and invalidate the session token. Use when you need to explicitly end the current session. | | `EVENIUM_UPDATE_CONTACT` | Update Contact | Tool to update an existing contact in Evenium by contact ID. Use when you need to modify contact details such as email, name, company, or custom fields. | | `EVENIUM_UPDATE_CONTACT_BY_CUSTOM_ID` | Update Contact by Custom ID | Tool to update a contact in Evenium by custom ID (external ID from your CRM/database). Use when you need to update contact details using your own identifier rather than Evenium's internal ID. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Evenium MCP server is an implementation of the Model Context Protocol that connects your AI agent to Evenium. It provides structured and secure access so your agent can perform Evenium 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 Evenium 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 Evenium-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: ["evenium"], }); 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 Evenium 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 evenium, 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 Evenium 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: ["evenium"], }); 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 evenium, 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 Evenium 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 Evenium MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/evenium/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/evenium/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/evenium/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/evenium/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/evenium/framework/codex) - [OpenClaw](https://composio.dev/toolkits/evenium/framework/openclaw) - [Hermes](https://composio.dev/toolkits/evenium/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/evenium/framework/cli) - [Google ADK](https://composio.dev/toolkits/evenium/framework/google-adk) - [LangChain](https://composio.dev/toolkits/evenium/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/evenium/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/evenium/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/evenium/framework/crew-ai) ## Related Toolkits - [Google Calendar](https://composio.dev/toolkits/googlecalendar) - Google Calendar is a time management service for scheduling meetings, events, and reminders. It streamlines personal and team organization with integrated notifications and sharing options. - [Apaleo](https://composio.dev/toolkits/apaleo) - Apaleo is a cloud-based property management platform for hospitality businesses. It centralizes reservations, billing, and daily operations for smoother hotel management. - [Appointo](https://composio.dev/toolkits/appointo) - Appointo is an appointment booking platform for Shopify stores. It lets businesses add online scheduling to their websites with zero coding. - [Bart](https://composio.dev/toolkits/bart) - Bart is the Bay Area Rapid Transit system, providing fast public transportation across the San Francisco Bay Area. It helps commuters and travelers get real-time schedule info, plan routes, and stay updated on service changes. - [Bookingmood](https://composio.dev/toolkits/bookingmood) - Bookingmood is commission-free booking software for rental businesses. It lets you manage reservations and sync bookings directly on your website. - [Booqable](https://composio.dev/toolkits/booqable) - Booqable is a rental software platform for managing inventory, bookings, and reservations. It helps businesses streamline rentals and keep track of every item with ease. - [Cal](https://composio.dev/toolkits/cal) - Cal is a meeting scheduling platform that offers shareable booking links and real-time calendar syncing. It streamlines the process of finding mutual availability to make scheduling effortless. - [Calendarhero](https://composio.dev/toolkits/calendarhero) - Calendarhero is a powerful scheduling platform that streamlines your calendar management across multiple services. It helps you efficiently schedule, reschedule, and organize meetings without the back-and-forth. - [Calendly](https://composio.dev/toolkits/calendly) - Calendly is an appointment scheduling tool that automates meeting invitations, availability checks, and reminders. It helps individuals and teams avoid endless email back-and-forth when booking meetings. - [Etermin](https://composio.dev/toolkits/etermin) - eTermin is an online appointment scheduling platform for businesses to manage bookings. It streamlines client appointments, saving time and reducing scheduling conflicts. - [Eventee](https://composio.dev/toolkits/eventee) - Eventee is a user-friendly event management platform for mobile and web. It boosts attendee engagement for in-person, virtual, and hybrid events. - [Eventzilla](https://composio.dev/toolkits/eventzilla) - Eventzilla is an event management platform for creating, promoting, and running events. It streamlines ticketing, registration, and attendee coordination for organizers. - [Humanitix](https://composio.dev/toolkits/humanitix) - Humanitix is a not-for-profit ticketing platform that donates 100% of profits to charity. It empowers event organizers to make social impact with every ticket sold. - [Lodgify](https://composio.dev/toolkits/lodgify) - Lodgify is an all-in-one vacation rental software for property managers and owners. It centralizes bookings, guest messaging, and channel synchronization in one dashboard. - [Planyo Online Booking](https://composio.dev/toolkits/planyo_online_booking) - Planyo Online Booking is a flexible reservation system for managing bookings by day, hour, or event. It streamlines scheduling for any business needing reservations. - [Scheduleonce](https://composio.dev/toolkits/scheduleonce) - Scheduleonce is a scheduling platform for capturing, qualifying, and engaging with inbound leads. It streamlines appointment booking and follow-ups for faster lead conversion. - [Supersaas](https://composio.dev/toolkits/supersaas) - Supersaas is a flexible appointment scheduling platform for businesses and individuals. It streamlines bookings, reminders, and calendar management in one place. - [Sympla](https://composio.dev/toolkits/sympla) - Sympla is a platform for managing in-person and online events, ticket sales, and registrations. It streamlines event setup, attendee tracking, and digital content delivery. - [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. - [Google Drive](https://composio.dev/toolkits/googledrive) - Google Drive is a cloud storage platform for uploading, sharing, and collaborating on files. It's perfect for keeping your documents accessible and organized across devices. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Evenium MCP? With a standalone Evenium MCP server, the agents and LLMs can only access a fixed set of Evenium tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Evenium 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 Evenium tools. ### Can I manage the permissions and scopes for Evenium while using Tool Router? Yes, absolutely. You can configure which Evenium 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 Evenium 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)