# How to integrate Sendfox MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Sendfox MCP with Vercel AI SDK v6",
  "toolkit": "Sendfox",
  "toolkit_slug": "sendfox",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/sendfox/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/sendfox/framework/ai-sdk.md",
  "updated_at": "2026-05-12T10:25:16.583Z"
}
```

## Introduction

This guide walks you through connecting Sendfox to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Sendfox agent that can list all active campaigns this week, unsubscribe a contact by email address, retrieve all contacts from your main list through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Sendfox account through Composio's Sendfox MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Sendfox with

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

## TL;DR

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

The Sendfox MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Sendfox account. It provides structured and secure access to your contact lists, campaigns, automations, and more, so your agent can fetch contacts, manage lists, retrieve campaign data, and automate subscriber actions on your behalf.
- Contact management and lookup: Instantly retrieve contact details by email or ID, fetch all contacts, or discover specific fields to personalize your outreach.
- List organization and updates: Ask your agent to fetch all your Sendfox lists, get details for a specific list, or remove contacts from lists as needed.
- Campaign and automation insights: Effortlessly retrieve paginated lists of campaigns or automations, so you can stay on top of your email marketing performance.
- Subscription and unsubscribe actions: Let your agent globally unsubscribe a contact or handle opt-outs automatically for better list hygiene.
- Discover contact field metadata: Pull all available contact fields to help with dynamic contact creation or targeted updates.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `SENDFOX_DELETE_CONTACT_FROM_LIST` | Delete Contact from List | Tool to remove a contact from a specific list in SendFox. Use when you need to disassociate a contact from a list without deleting the contact entirely. The contact will remain in your account but will no longer be a member of the specified list. |
| `SENDFOX_GET_AUTOMATIONS` | Get Automations | Tool to retrieve a list of automations. Use when you need to list all automations for your SendFox account. |
| `SENDFOX_GET_CAMPAIGN_BY_ID` | Get Campaign by ID | Retrieve details for a specific campaign by its ID from SendFox. Use this when you need to fetch information about a particular campaign. Returns campaign details including title, subject, HTML content, sender info, and scheduling details. |
| `SENDFOX_GET_CAMPAIGNS` | Get Campaigns | Retrieve a paginated list of email campaigns from SendFox. Use this to fetch all campaigns or navigate through pages of results. Returns campaign details including status, subject, content, and timestamps. |
| `SENDFOX_GET_CONTACT_BY_ID` | Get Contact by ID | Retrieves a contact's details by their unique ID from SendFox. Use this tool when you need to look up a specific contact's information after obtaining their ID from a contact list or other API response. Returns contact details including email, name, subscription status, and list memberships. |
| `SENDFOX_GET_CONTACT_FIELDS` | Get Contact Fields | Retrieves all contact fields available in the SendFox account. Use this to discover available fields before creating or updating contacts. Returns standard fields (email, first_name, last_name) and any custom fields configured in the account. |
| `SENDFOX_GET_CONTACTS` | Get Contacts | Tool to retrieve a paginated list of contacts. Use when you need to fetch contacts in pages, optionally filtering by email. |
| `SENDFOX_GET_CONTACTS_IN_LIST` | Get Contacts in List | Tool to retrieve contacts in a specific list. Use when you need to fetch all contacts belonging to a particular list, optionally filtering by search query. |
| `SENDFOX_GET_CURRENT_USER` | Get Current User | Tool to retrieve information about the authenticated user from SendFox. Returns user details including name, email, contact count, and contact limit. Use this tool when you need to check account information or verify authentication status. |
| `SENDFOX_GET_FORMS` | Get Forms | Tool to retrieve a paginated list of forms from SendFox. Use when you need to fetch all forms or search for specific forms by query. |
| `SENDFOX_GET_LIST_BY_ID` | Get List by ID | Retrieves details of a specific contact list by its ID from SendFox. Use this tool when you need information about a particular list (name, contact count, timestamps). Requires a valid list_id which can be obtained from the 'Get Lists' action. |
| `SENDFOX_GET_LISTS` | Get Lists | Retrieve all contact lists from your SendFox account with pagination support. Use this tool when you need to: - Fetch all available contact lists for your account - Get list IDs to use with other SendFox actions (e.g., adding contacts to lists) - Check list names and browse through paginated results Returns a list of contact lists with their IDs and names, along with pagination metadata. |
| `SENDFOX_LIST_CONTACT_FIELDS` | List Contact Fields | Tool to list all custom contact fields defined by the user. Returns a paginated list of contact fields with their IDs, names, and timestamps. |
| `SENDFOX_LIST_UNSUBSCRIBED_CONTACTS` | List Unsubscribed Contacts | Tool to retrieve a paginated list of contacts who have unsubscribed. Use when you need to fetch unsubscribed contacts, optionally filtering by search query. |
| `SENDFOX_PATCH_UNSUBSCRIBE_CONTACT` | Unsubscribe Contact | Unsubscribe a contact from all email communications in your SendFox account. Use this tool when you need to: - Globally unsubscribe a contact from all future emails - Honor unsubscribe requests from subscribers - Mark a contact as opted-out The contact will be marked as unsubscribed but remains in your contacts database. This is a permanent action - the contact will not receive any future campaigns. |
| `SENDFOX_POST_CREATE_CONTACT` | Create Contact | Create a new contact (subscriber) in your SendFox account. Use this tool when you need to: - Add a new subscriber to your email list - Create a contact with optional first/last name - Add a contact to one or more specific lists If the contact already exists, their information will be updated with the provided data. |
| `SENDFOX_POST_CREATE_LIST` | Create List | Create a new contact list in your SendFox account. Use this tool when you need to: - Create a new mailing list for organizing contacts - Set up a list before adding subscribers to it - Segment your audience by creating topic-specific lists The list will be created with 0 contacts initially. After creation, use other SendFox actions to add contacts to this list. Returns the created list's ID, name, and metadata. |

## Supported Triggers

None listed.

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

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

  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 Sendfox 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 sendfox, 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 Sendfox 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: ["sendfox"],
  });

  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 sendfox, 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 Sendfox 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 Sendfox MCP Agent with another framework

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

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- [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 Sendfox MCP?

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

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

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

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