# How to integrate Postalytics MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Postalytics MCP with Vercel AI SDK v6",
  "toolkit": "Postalytics",
  "toolkit_slug": "postalytics",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/postalytics/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/postalytics/framework/ai-sdk.md",
  "updated_at": "2026-03-29T06:46:11.008Z"
}
```

## Introduction

This guide walks you through connecting Postalytics to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Postalytics agent that can create a new direct mail campaign, sync contacts from hubspot to postalytics, track delivery status for recent campaigns through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Postalytics account through Composio's Postalytics MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Postalytics with

- [OpenAI Agents SDK](https://composio.dev/toolkits/postalytics/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/postalytics/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/postalytics/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/postalytics/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/postalytics/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/postalytics/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/postalytics/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/postalytics/framework/cli)
- [Google ADK](https://composio.dev/toolkits/postalytics/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/postalytics/framework/langchain)
- [Mastra AI](https://composio.dev/toolkits/postalytics/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/postalytics/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/postalytics/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- How to set up and configure a Vercel AI SDK agent with Postalytics integration
- Using Composio's Tool Router to dynamically load and access Postalytics 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 Postalytics MCP server, and what's possible with it?

The Postalytics MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Postalytics account. It provides structured and secure access so your agent can perform Postalytics operations on your behalf.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `POSTALYTICS_ADD_ACCOUNT` | Add Account | Tool to create a new sub-account in the Postalytics system. Use when you need to create a new account with a unique ID associated with the requester's user ID as parent. The response includes the API key and user ID for the new account, which should be stored for future API calls. |
| `POSTALYTICS_ADD_CONTACT` | Add Contact | Tool to add a contact to a specified contact list with their information. Use when you need to create a new contact or update an existing one on a contact list. |
| `POSTALYTICS_CREATE_NEW_CAMPAIGN` | Create New Campaign | Tool to create a new direct mail campaign in Postalytics. Use when you need to start a new campaign with specified sender details and template. Important: A template must be created and proofed before creating the campaign. |
| `POSTALYTICS_CREATE_SUPPRESSION_LIST` | Create Suppression List | Tool to create a new suppression list that can be used in campaigns to suppress contacts from being sent mail. Use when you need to create an empty suppression list. Note that contacts must be added separately using the SuppressionListContact API after the list is created. |
| `POSTALYTICS_CREATE_SUPPRESSION_LIST_CONTACT` | Create Suppression List Contact | Tool to create a new suppression contact on a specified suppression list. Use when you need to add a contact to a suppression list to prevent them from receiving mailings. |
| `POSTALYTICS_CREATE_TEMPLATE` | Create Template | Tool to create a new template with full HTML for postcard or letter. Use when you need to create a template by providing complete HTML markup or image URLs for front/back. The template can be used for various mail types including postcards, letters, and bifolds. |
| `POSTALYTICS_CREATE_WEBHOOK` | Create Webhook | Tool to create a new webhook to receive campaign event notifications from Postalytics. Use when you need to set up a webhook endpoint that will be notified about campaign events like sent, delivered, opened, or clicked. |
| `POSTALYTICS_DELETE_ACCOUNT` | Delete Account | Tool to delete a Postalytics account and all associated campaigns, templates, and lists. Use when you need to permanently remove a sub account or sub user account. Cannot delete parent accounts. |
| `POSTALYTICS_DELETE_CAMPAIGN` | Delete Campaign | Tool to delete a campaign from the system. Use when you need to remove a campaign that is no longer needed. |
| `POSTALYTICS_DELETE_SUPPRESSION_LIST` | Delete Suppression List | Tool to delete a specified suppression list. Use when you need to remove a suppression list that is no longer needed. |
| `POSTALYTICS_DELETE_SUPPRESSION_LIST_CONTACT` | Delete Suppression List Contact | Tool to delete a specific contact from a suppression list. Use when you need to remove a contact from a suppression list in Postalytics. |
| `POSTALYTICS_GET_ALL_CONTACT_LISTS` | Get All Contact Lists | Tool to retrieve all contact lists for an account. Use when you need to get a complete list of contact lists including their IDs, names, item counts, and creation dates. |
| `POSTALYTICS_GET_ALL_CONTACTS_ON_A_LIST` | Get All Contacts on a List | Tool to retrieve all contacts from a specified contact list with pagination support. Use when you need to get contacts from a list, with optional pagination using start offset and limit parameters. |
| `POSTALYTICS_GET_ALL_DRIP_CAMPAIGNS` | Get All Drip Campaigns | Tool to retrieve all triggered drip campaign names and endpoint IDs in the account. Use when you need to list all available drip campaigns for the authenticated user. |
| `POSTALYTICS_GET_ALL_FLOWS` | Get All Flows | Tool to retrieve all flows for the requester's account. Use when you need to list or browse available flows. |
| `POSTALYTICS_GET_ALL_WEBHOOKS` | Get All Webhooks | Tool to retrieve all webhooks configured for the authenticated account. Use when you need to view webhook configurations for campaigns. |
| `POSTALYTICS_GET_INTEGRATIONS` | Get Integrations | Tool to retrieve all Connect integrations configured for the authenticated user's account. Use when you need to view CRM or data source integrations. |
| `POSTALYTICS_GET_MY_ACCOUNT` | Get My Account | Tool to retrieve basic account information for the authenticated user. Use when you need to get account details such as contact information, address, or API key. |
| `POSTALYTICS_GET_SUPPRESSION_LIST` | Get Suppression List | Tool to get the details of a suppression list based on the id supplied. Use when you need to retrieve information about a specific suppression list. |
| `POSTALYTICS_GET_SUPPRESSION_LIST_CONTACT` | Get Suppression List Contact | Tool to retrieve a specific contact from a suppression list. Use when you need to get details about a contact on a specific suppression list by their list ID and contact ID. |
| `POSTALYTICS_GET_SUPPRESSION_LIST_CONTACTS` | Get Suppression List Contacts | Tool to get all contacts on a specified suppression list. Use when you need to retrieve contacts that are suppressed for a particular list. |
| `POSTALYTICS_GET_SUPPRESSION_LISTS` | Get Suppression Lists | Tool to retrieve all suppression lists for the authenticated user. Use when you need to view or manage suppression lists. Returns all lists or a specific list when ID is provided. |
| `POSTALYTICS_UPDATE_ACCOUNT` | Update Account | Tool to update an existing account in the Postalytics system. Use when you need to modify account information such as contact details, address, or credentials for an existing account. |
| `POSTALYTICS_UPDATE_SUPPRESSION_LIST_CONTACT` | Update Suppression List Contact | Tool to update a suppression contact on the specified suppression list. Use when you need to modify contact information for a specific contact on a suppression list. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Postalytics MCP server is an implementation of the Model Context Protocol that connects your AI agent to Postalytics. It provides structured and secure access so your agent can perform Postalytics 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 Postalytics 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 Postalytics-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: ["postalytics"],
  });

  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 Postalytics 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 postalytics, 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 Postalytics 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: ["postalytics"],
  });

  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 postalytics, 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 Postalytics 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 Postalytics MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/postalytics/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/postalytics/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/postalytics/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/postalytics/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/postalytics/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/postalytics/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/postalytics/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/postalytics/framework/cli)
- [Google ADK](https://composio.dev/toolkits/postalytics/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/postalytics/framework/langchain)
- [Mastra AI](https://composio.dev/toolkits/postalytics/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/postalytics/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/postalytics/framework/crew-ai)

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- [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.
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## Frequently Asked Questions

### What are the differences in Tool Router MCP and Postalytics MCP?

With a standalone Postalytics MCP server, the agents and LLMs can only access a fixed set of Postalytics tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Postalytics 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 Postalytics tools.

### Can I manage the permissions and scopes for Postalytics while using Tool Router?

Yes, absolutely. You can configure which Postalytics 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 Postalytics data and credentials are handled as safely as possible.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)
