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How to integrate Hotspotsystem MCP with Pydantic AI

Connect Pydantic AI to Hotspotsystem MCP. List all customers at main street location, generate a single-use voucher for lobby, and more using natural language, with authentication handled for you.

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Api Key

Hotspotsystem is a cloud-based platform for managing public Wi-Fi hotspots and guest access. It lets businesses automate user onboarding, track activity, and handle billing with ease.

19 Tools

Introduction

This guide walks you through connecting Hotspotsystem to Pydantic AI using the Composio tool router. By the end, you'll have a working Hotspotsystem agent that can list Wi-Fi locations and customers, generate vouchers, track paid and social transactions, and list subscribers through natural language commands.

This guide will help you understand how to give your Pydantic AI 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

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TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Hotspotsystem
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Hotspotsystem workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

  1. Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
  2. Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
  3. Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS
1

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active API key
  • Basic familiarity with Python and async programming
2

Getting API Keys for OpenAI and Composio

OpenAI API Key
  • Go to the OpenAI dashboard 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.
  • Navigate to your API settings and generate a new API key.
  • Store this key securely as you'll need it for authentication.
3

Install dependencies

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Hotspotsystem
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs
5

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Hotspotsystem
  • MCPServerStreamableHTTP connects to the Hotspotsystem MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant
6

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Hotspotsystem
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["hotspotsystem"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
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 session.mcp.url is the MCP server URL that your agent will use
7

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
hotspotsystem_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[hotspotsystem_mcp],
    instructions=(
        "You are a Hotspotsystem assistant. Use Hotspotsystem tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Hotspotsystem endpoint
  • The agent uses GPT-5 to interpret user commands and perform Hotspotsystem operations
  • The instructions field defines the agent's role and behavior
8

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Hotspotsystem.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Hotspotsystem API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns
9

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Hotspotsystem and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Hotspotsystem
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["hotspotsystem"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    hotspotsystem_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[hotspotsystem_mcp],
        instructions=(
            "You are a Hotspotsystem assistant. Use Hotspotsystem tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Hotspotsystem.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Hotspotsystem through Composio's Tool Router. With this setup, your agent can perform real Hotspotsystem actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Hotspotsystem for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.
TOOLS

Supported Tools

Every Hotspotsystem action and event your agent gets out of the box.

List Customers

Lists all customers in the HotspotSystem account with optional filtering.

List Customers by Location

Lists customers associated with a specified HotspotSystem location.

Generate Voucher (v1)

Generates a single-use hotspot access voucher for a specified location using its available voucher credits.

Get Locations Options

Tool to get simplified list of locations as dropdown options.

Get Me

Tool to verify the resource owner's credentials and retrieve authenticated user information.

List Paid Transactions

Tool to list paid transactions globally across all locations.

List Locations

Lists the resource owner's locations with optional field selection, sorting and pagination.

Misc Ping

Tool to perform health check against the HotspotSystem API.

List Subscribers

Lists newsletter subscribers across locations with optional field selection, sorting and pagination.

List Subscribers by Location

Tool to list subscribers by location.

List MAC Transactions

Tool to list MAC-based transactions.

List MAC Transactions by Location

Lists MAC address authentication transactions for a specific location, with optional field selection, sorting and pagination.

List Paid Transactions by Location

Tool to list paid transactions by location.

List Social Transactions

Tool to list social transactions.

List Social Transactions by Location

Tool to list social transactions by location.

List Voucher Transactions

Tool to list voucher transactions globally across all locations.

List Voucher Transactions by Location

Lists voucher transaction records for a specific HotspotSystem location.

List Vouchers

Lists the resource owner's vouchers across locations.

Vouchers List by Location

Lists vouchers for a specific HotspotSystem location, with optional field selection, sorting, and pagination.

FRAMEWORKS

How to build Hotspotsystem MCP Agent with another framework

Claude Code logo

Claude Code

Use Hotspotsystem MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Hotspotsystem MCP with Claude Cowork

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Hotspotsystem MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Hotspotsystem MCP with Claude Agent SDK

Grok Bot logo

Grok Bot

Use Hotspotsystem MCP with Grok Bot

Codex logo

Codex

Use Hotspotsystem MCP with Codex

OpenClaw logo

OpenClaw

Use Hotspotsystem MCP with OpenClaw

Hermes logo

Hermes

Use Hotspotsystem MCP with Hermes

Atomic Agent logo

Atomic Agent

Use Hotspotsystem MCP with Atomic Agent

Google ADK logo

Google ADK

Use Hotspotsystem MCP with Google ADK

LangChain logo

LangChain

Use Hotspotsystem MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Hotspotsystem MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Hotspotsystem MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Hotspotsystem MCP with LlamaIndex

CrewAI logo

CrewAI

Use Hotspotsystem MCP with CrewAI

AutoGen logo

AutoGen

Use Hotspotsystem MCP with AutoGen

FAQ

Frequently asked questions

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.

Yes, you can. Pydantic AI 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.

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.

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.

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