# How to integrate Hotspotsystem MCP with Vercel AI SDK v6

```json
{
  "title": "How to integrate Hotspotsystem MCP with Vercel AI SDK v6",
  "toolkit": "Hotspotsystem",
  "toolkit_slug": "hotspotsystem",
  "framework": "Vercel AI SDK",
  "framework_slug": "ai-sdk",
  "url": "https://composio.dev/toolkits/hotspotsystem/framework/ai-sdk",
  "markdown_url": "https://composio.dev/toolkits/hotspotsystem/framework/ai-sdk.md",
  "updated_at": "2026-05-12T10:15:08.718Z"
}
```

## Introduction

This guide walks you through connecting Hotspotsystem to Vercel AI SDK v6 using the Composio tool router. By the end, you'll have a working Hotspotsystem agent that can list all customers at main street location, generate a single-use voucher for lobby, list paid transactions for downtown hotspot through natural language commands.
This guide will help you understand how to give your Vercel AI SDK agent real control over a Hotspotsystem account through Composio's Hotspotsystem MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Hotspotsystem with

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

## TL;DR

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

The Hotspotsystem MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Hotspotsystem account. It provides structured and secure access to your Wi-Fi hotspot management platform, so your agent can perform actions like listing customers, generating access vouchers, monitoring transactions, and managing subscribers across your locations.
- Customer and subscriber management: Instantly list all customers or newsletter subscribers, or filter them by specific hotspot locations for targeted communications or support.
- On-demand voucher generation: Have your agent create single-use access vouchers for guests or events—automatically and only when there are enough credits.
- Location and asset visibility: Retrieve and review all your registered hotspot locations, making it easy to audit or manage distributed sites and devices.
- Transaction monitoring and reporting: List MAC-based or paid transactions by location, enabling your agent to provide real-time analytics or billing support for your hotspots.
- API health checks and diagnostics: Use the agent to ping the Hotspotsystem API for connectivity checks, ensuring your integrations and automations run smoothly.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `HOTSPOTSYSTEM_CUSTOMERS_LIST` | List Customers | Lists all customers in the HotspotSystem account with optional filtering. Use this tool to: - Retrieve all customers with their details (name, email, contact info, registration date, etc.) - Paginate through large customer lists using limit and offset parameters - Sort customers by any field in ascending or descending order - Filter response to only include specific fields to reduce payload size Returns metadata with total customer count and an array of customer objects. |
| `HOTSPOTSYSTEM_CUSTOMERS_LIST_BY_LOCATION` | List Customers by Location | Lists all customers associated with a specific HotspotSystem location. Use this tool to: - Retrieve customer details (name, email, contact info, registration date) for a specific location - Paginate through large customer lists using limit and offset parameters - Sort customers by any field (prepend '-' for descending order, e.g., '-registered_at') - Filter response to include only specific fields to reduce payload size - Query customers at different locations by location ID Returns metadata with total customer count and an array of customer objects. Note: Empty results (total_count: 0) indicate no customers are registered at the specified location. |
| `HOTSPOTSYSTEM_GENERATE_VOUCHER_V1` | Generate Voucher (v1) | Generates an access voucher code on-demand for a specific location. This action creates a single-use voucher that can be used for hotspot access. The voucher is generated against available voucher credits in the specified location. Use this when you need to provide immediate access codes to users. Note: Requires an active location with available voucher credits (use the List Locations action first to get valid location_id values). |
| `HOTSPOTSYSTEM_GET_LOCATIONS_OPTIONS` | Get Locations Options | Tool to get simplified list of locations as dropdown options. Returns only id/name pairs for each location. Use when you need location options for selection menus or dropdowns. |
| `HOTSPOTSYSTEM_GET_ME` | Get Me | Tool to verify the resource owner's credentials and retrieve authenticated user information. Use when you need to confirm authentication status or get the current user's ID and operator name. |
| `HOTSPOTSYSTEM_LIST_PAID_TRANSACTIONS` | List Paid Transactions | Tool to list paid transactions globally across all locations. Use when you need to retrieve all paid transaction records with optional pagination and sorting. |
| `HOTSPOTSYSTEM_LOCATIONS_LIST` | List Locations | Tool to list the resource owner's locations. Use when you need to retrieve locations with optional filtering, sorting, or pagination. |
| `HOTSPOTSYSTEM_MISC_PING` | Misc Ping | Tool to perform health check against the HotspotSystem API. Use when verifying connectivity and availability. |
| `HOTSPOTSYSTEM_SUBSCRIBERS_LIST` | List Subscribers | List newsletter subscribers across all locations with optional filtering, sorting, and pagination. Returns subscriber information including contact details (name, email, phone, address) and social network data (Facebook, Google, etc.). Supports field selection to retrieve only needed properties, sorting by any field (ascending or descending), and pagination with limit/offset for large result sets. Use this tool when you need to: - Retrieve all subscribers for the account - Filter subscribers by specific fields - Sort subscribers by registration date, name, email, etc. - Paginate through large subscriber lists |
| `HOTSPOTSYSTEM_SUBSCRIBERS_LIST_BY_LOCATION` | List Subscribers by Location | Tool to list subscribers by location. Use when you need to retrieve subscribers for a specific location with optional field selection, sorting, and pagination. |
| `HOTSPOTSYSTEM_TRANSACTIONS_LIST_MAC` | List MAC Transactions | Tool to list MAC-based transactions. Use when you need to retrieve MAC transaction records with optional pagination and sorting. |
| `HOTSPOTSYSTEM_TRANSACTIONS_LIST_MAC_BY_LOCATION` | List MAC Transactions by Location | Lists MAC address authentication transactions for a specific location. MAC (Media Access Control) transactions track network access granted based on device MAC addresses. Use this action when you need to: - View MAC-based authentication history for a specific location - Monitor which devices accessed the network via MAC authentication - Retrieve transaction records with customer data and custom fields - Filter and paginate MAC transaction records for reporting For transactions across all locations, use the global MAC transactions endpoint instead. |
| `HOTSPOTSYSTEM_TRANSACTIONS_LIST_PAID_BY_LOCATION` | List Paid Transactions by Location | Tool to list paid transactions by location. Use when you need to retrieve paid transaction records for a specific location with optional pagination and sorting. |
| `HOTSPOTSYSTEM_TRANSACTIONS_LIST_SOCIAL` | List Social Transactions | Tool to list social transactions. Use when you need to retrieve social transaction records with optional pagination and sorting. |
| `HOTSPOTSYSTEM_TRANSACTIONS_LIST_SOCIAL_BY_LOCATION` | List Social Transactions by Location | Tool to list social transactions by location. Use when you need to retrieve social transaction records for a specific location with optional pagination and sorting. |
| `HOTSPOTSYSTEM_TRANSACTIONS_LIST_VOUCHER` | List Voucher Transactions | Tool to list voucher transactions globally across all locations. |
| `HOTSPOTSYSTEM_TRANSACTIONS_LIST_VOUCHER_BY_LOCATION` | List Voucher Transactions by Location | Tool to list voucher transactions by location. Use when you need to retrieve voucher transaction records for a specific location with optional pagination and sorting. |
| `HOTSPOTSYSTEM_VOUCHERS_LIST` | List Vouchers | Tool to list the resource owner's vouchers across all locations. Use when you need to retrieve vouchers with optional filtering, sorting, or pagination. |
| `HOTSPOTSYSTEM_VOUCHERS_LIST_BY_LOCATION` | Vouchers List by Location | Retrieves all vouchers associated with a specific location in the HotspotSystem. Use this action to: - List all vouchers available at a particular location - Filter voucher results by specific fields - Sort vouchers by any field (e.g., validity, price) - Implement pagination for large voucher lists Each voucher includes details such as serial number, access code, usage limits (traffic/download/upload), validity period, and pricing information. |

## Supported Triggers

None listed.

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

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

  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 Hotspotsystem 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 hotspotsystem, 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 Hotspotsystem 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: ["hotspotsystem"],
  });

  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 hotspotsystem, 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 Hotspotsystem 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 Hotspotsystem MCP Agent with another framework

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

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## Frequently Asked Questions

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

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

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

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

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