# How to integrate Laposta MCP with Vercel AI SDK v6 ```json { "title": "How to integrate Laposta MCP with Vercel AI SDK v6", "toolkit": "Laposta", "toolkit_slug": "laposta", "framework": "Vercel AI SDK", "framework_slug": "ai-sdk", "url": "https://composio.dev/toolkits/laposta/framework/ai-sdk", "markdown_url": "https://composio.dev/toolkits/laposta/framework/ai-sdk.md", "updated_at": "2026-03-29T06:40:02.341Z" } ``` ## Introduction This guide walks you through connecting Laposta to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Laposta agent that can add subscriber to laposta list by email, send campaign to "monthly updates" group, get open rates for last laposta campaign through natural language commands. This guide will help you understand how to give your Vercel AI SDK agent real control over a Laposta account through Composio's Laposta MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved. ## Also integrate Laposta with - [OpenAI Agents SDK](https://composio.dev/toolkits/laposta/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/laposta/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/laposta/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/laposta/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/laposta/framework/codex) - [OpenClaw](https://composio.dev/toolkits/laposta/framework/openclaw) - [Hermes](https://composio.dev/toolkits/laposta/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/laposta/framework/cli) - [Google ADK](https://composio.dev/toolkits/laposta/framework/google-adk) - [LangChain](https://composio.dev/toolkits/laposta/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/laposta/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/laposta/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/laposta/framework/crew-ai) ## TL;DR Here's what you'll learn: - How to set up and configure a Vercel AI SDK agent with Laposta integration - Using Composio's Tool Router to dynamically load and access Laposta 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 Laposta MCP server, and what's possible with it? The Laposta MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Laposta account. It provides structured and secure access so your agent can perform Laposta operations on your behalf. ## Supported Tools | Tool slug | Name | Description | |---|---|---| | `LAPOSTA_CAMPAIGN_GET_ALL` | Get All Campaigns | Tool to retrieve all campaigns from Laposta account. Use when you need to list all email campaigns with their configuration and delivery status. | | `LAPOSTA_FIELD_CREATE` | Create Custom Field | Tool to create a custom field for a mailing list to define subscriber attributes. Use when you need to add custom fields like text, numeric, date, or select fields to a list. For select fields (select_single or select_multiple), you must provide the options parameter. | | `LAPOSTA_FIELD_DELETE` | Delete Field | Tool to permanently remove a custom field from a mailing list. Use when you need to delete a field that is no longer needed. | | `LAPOSTA_FIELD_GET` | Get Field Details | Tool to retrieve specific field details by field_id. Use when you need to fetch complete information about a custom field including its configuration, data type, and available options. | | `LAPOSTA_GET_ALL_FIELDS` | Get All Fields | Tool to retrieve all fields for a specific list in Laposta. Use when you need to see all field definitions, metadata, and settings for a list. | | `LAPOSTA_UPDATE_FIELD` | Update Field | Tool to modify field configuration in a Laposta list. Use when you need to update field properties such as name, datatype, required status, or display settings. WARNING: Modifying datatype removes all data from that field. | | `LAPOSTA_CLEAR_ALL_MEMBERS_FROM_LIST` | Clear All Members From List | Tool to clear all active members from a list. Use when you need to remove all active member relationships while preserving the list itself. The operation is permanent and cannot be undone. | | `LAPOSTA_CREATE_MAILING_LIST` | Create Mailing List | Tool to create a new mailing list in Laposta to manage email subscribers. Use when you need to create a new list with zero members. | | `LAPOSTA_DELETE_LIST` | Delete List | Tool to permanently remove a mailing list from Laposta. Use when you need to delete a list that is no longer needed. The list cannot be recovered after deletion. | | `LAPOSTA_GET_LIST_DETAILS` | Get List Details | Tool to retrieve specific list details by list_id. Use when you need to fetch complete information about a mailing list including its metadata, state, notification settings, and member statistics. | | `LAPOSTA_GET_ALL_LISTS` | Get All Lists | Tool to retrieve all mailing lists from your Laposta account. Use when you need to view all lists including both active and deleted ones. | | `LAPOSTA_UPDATE_MAILING_LIST` | Update Mailing List | Tool to modify list properties such as name, remarks, or notification emails. Use when you need to update an existing mailing list's configuration. | | `LAPOSTA_CREATE_MEMBER` | Create Member | Tool to add a new subscriber relationship to a list with custom fields and tracking info. Use when you need to create a new member in a list or update an existing member if upsert is enabled. | | `LAPOSTA_DELETE_MEMBER` | Delete Member | Tool to permanently remove a member from a list. Use when you need to delete a member by their ID or email address. | | `LAPOSTA_GET_MEMBER` | Get Member | Tool to retrieve specific member details by member_id or email. Use when you need to get comprehensive information about a member from a list, including their status, registration details, and custom field values. | | `LAPOSTA_GET_ALL_MEMBERS` | Get All Members | Tool to retrieve all members from a specified Laposta mailing list. Use when you need to list or view all contacts in a list. Optionally filter by member state (active, unsubscribed, or cleaned). | | `LAPOSTA_UPDATE_MEMBER` | Update Member | Tool to modify member data, status, or custom fields in a Laposta list. Use when updating existing member information or managing subscription state. Supports partial updates (only modified fields need to be included). | | `LAPOSTA_GET_ALL_CAMPAIGN_REPORTS` | Get All Campaign Reports | Tool to retrieve performance metrics for all campaigns. Use when you need campaign statistics including opens, clicks, bounces, complaints, and unsubscribes. | | `LAPOSTA_GET_ALL_SEGMENTS` | Get All Segments | Tool to retrieve all segments from a mailing list. Use when you need to list or browse segments within a specific list. | | `LAPOSTA_CREATE_WEBHOOK` | Create Webhook | Tool to register a new webhook for list events in Laposta. Use when you need to receive real-time notifications for subscriber events like subscriptions, modifications, or deactivations. | | `LAPOSTA_DELETE_WEBHOOK` | Delete Webhook | Tool to permanently remove a webhook. Use when you need to delete a webhook from a list. Pending webhook requests are completed before deletion. | | `LAPOSTA_GET_WEBHOOK_DETAILS` | Get Webhook Details | Tool to retrieve specific webhook details by webhook_id. Use when you need to inspect webhook configuration including event type, URL, and status. | | `LAPOSTA_GET_ALL_WEBHOOKS` | Get All Webhooks | Tool to retrieve all webhooks for a specific list. Use when you need to view all webhooks configured for a particular list. | | `LAPOSTA_UPDATE_WEBHOOK` | Update Webhook | Tool to modify webhook configuration including URL, event type, or blocked status. Use when you need to update an existing webhook's settings. | ## Supported Triggers None listed. ## Creating MCP Server - Stand-alone vs Composio SDK The Laposta MCP server is an implementation of the Model Context Protocol that connects your AI agent to Laposta. It provides structured and secure access so your agent can perform Laposta 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 Laposta 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 Laposta-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: ["laposta"], }); 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 Laposta 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 laposta, 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 Laposta 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: ["laposta"], }); 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 laposta, 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 Laposta 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 Laposta MCP Agent with another framework - [OpenAI Agents SDK](https://composio.dev/toolkits/laposta/framework/open-ai-agents-sdk) - [Claude Agent SDK](https://composio.dev/toolkits/laposta/framework/claude-agents-sdk) - [Claude Code](https://composio.dev/toolkits/laposta/framework/claude-code) - [Claude Cowork](https://composio.dev/toolkits/laposta/framework/claude-cowork) - [Codex](https://composio.dev/toolkits/laposta/framework/codex) - [OpenClaw](https://composio.dev/toolkits/laposta/framework/openclaw) - [Hermes](https://composio.dev/toolkits/laposta/framework/hermes-agent) - [CLI](https://composio.dev/toolkits/laposta/framework/cli) - [Google ADK](https://composio.dev/toolkits/laposta/framework/google-adk) - [LangChain](https://composio.dev/toolkits/laposta/framework/langchain) - [Mastra AI](https://composio.dev/toolkits/laposta/framework/mastra-ai) - [LlamaIndex](https://composio.dev/toolkits/laposta/framework/llama-index) - [CrewAI](https://composio.dev/toolkits/laposta/framework/crew-ai) ## Related Toolkits - [Reddit](https://composio.dev/toolkits/reddit) - Reddit is a social news platform with thriving user-driven communities (subreddits). It's the go-to place for discussion, content sharing, and viral marketing. - [Facebook](https://composio.dev/toolkits/facebook) - Facebook is a social media and advertising platform for businesses and creators. It helps you connect, share, and manage content across your public Facebook Pages. - [Linkedin](https://composio.dev/toolkits/linkedin) - LinkedIn is a professional networking platform for connecting, sharing content, and engaging with business opportunities. It's the go-to place for building your professional brand and unlocking new career connections. - [Active campaign](https://composio.dev/toolkits/active_campaign) - ActiveCampaign is a marketing automation and CRM platform for managing email campaigns, sales pipelines, and customer segmentation. It helps businesses engage customers and drive growth through smart automation and targeted outreach. - [ActiveTrail](https://composio.dev/toolkits/active_trail) - ActiveTrail is a user-friendly email marketing and automation platform. It helps you reach subscribers and automate campaigns with ease. - [Ahrefs](https://composio.dev/toolkits/ahrefs) - Ahrefs is an SEO and marketing platform for site audits, keyword research, and competitor insights. It helps you improve search rankings and drive organic traffic. - [Amcards](https://composio.dev/toolkits/amcards) - AMCards lets you create and mail personalized greeting cards online. Build stronger customer relationships with easy, automated card campaigns. - [Beamer](https://composio.dev/toolkits/beamer) - Beamer is a news and changelog platform for in-app announcements and feature updates. It helps companies boost user engagement by sharing news where users are most active. - [Benchmark email](https://composio.dev/toolkits/benchmark_email) - Benchmark Email is a platform for creating, sending, and tracking email campaigns. It's built to help you engage audiences and analyze results—all in one place. - [Bigmailer](https://composio.dev/toolkits/bigmailer) - BigMailer is an email marketing platform for managing multiple brands with white-labeling and automation. It helps teams streamline campaigns and simplify integration with Amazon SES. - [Brandfetch](https://composio.dev/toolkits/brandfetch) - Brandfetch is an API that delivers company logos, colors, and visual branding assets. It helps marketers and developers keep brand visuals consistent everywhere. - [Brevo](https://composio.dev/toolkits/brevo) - Brevo is an all-in-one email and SMS marketing platform for transactional messaging, automation, and CRM. It helps businesses engage customers and streamline communications through powerful campaign tools. - [Campayn](https://composio.dev/toolkits/campayn) - Campayn is an email marketing platform for creating, sending, and managing campaigns. It helps businesses engage contacts and grow audiences with easy-to-use tools. - [Cardly](https://composio.dev/toolkits/cardly) - Cardly is a platform for creating and sending personalized direct mail to customers. It helps businesses break through the digital clutter by getting real engagement via physical mailboxes. - [ClickSend](https://composio.dev/toolkits/clicksend) - ClickSend is a cloud-based SMS and email marketing platform for businesses. It streamlines communication by enabling quick message delivery and contact management. - [Crustdata](https://composio.dev/toolkits/crustdata) - CrustData is an AI-powered data intelligence platform for real-time company and people data. It helps B2B sales teams, AI SDRs, and investors react to live business signals. - [Curated](https://composio.dev/toolkits/curated) - Curated is a platform for collecting, curating, and publishing newsletters. It streamlines content aggregation and distribution for creators and teams. - [Customerio](https://composio.dev/toolkits/customerio) - Customer.io is a customer engagement platform for targeted messaging across email, SMS, and push. Easily automate, segment, and track communications with your audience. - [Cutt ly](https://composio.dev/toolkits/cutt_ly) - Cutt.ly is a URL shortening service for managing and analyzing links. Streamline your workflows with quick, trackable, and branded short URLs. - [Demio](https://composio.dev/toolkits/demio) - Demio is webinar software built for marketers, offering both live and automated sessions with interactive features. It helps teams engage audiences and optimize lead generation through detailed analytics. ## Frequently Asked Questions ### What are the differences in Tool Router MCP and Laposta MCP? With a standalone Laposta MCP server, the agents and LLMs can only access a fixed set of Laposta tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Laposta 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 Laposta tools. ### Can I manage the permissions and scopes for Laposta while using Tool Router? Yes, absolutely. You can configure which Laposta 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 Laposta data and credentials are handled as safely as possible. --- [See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)