How to Use the Composio Smart Home MCP in Pydantic AI

Build type-safe home automation agents in Pydantic AI using the Composio Smart Home MCP server.

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Connect Composio Smart Home MCP to Pydantic AI

Create your Vinkius account to connect Composio Smart Home to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Composio Smart Home with Pydantic AI

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Type-safe device calls in Pydantic AI

When you execute a tool, the response is validated against your Pydantic models immediately. If the device API returns junk, your Pydantic AI agent catches the mismatch before it causes issues. You avoid silent failures. Every interaction with your devices is checked against your defined structure.

List and validate tools in Pydantic AI

Call `list_app_tools` to pull the available functions for a specific service. Your agent then maps these to your Pydantic models for strict type enforcement. This workflow ensures that your agent only uses valid, well-defined commands. It keeps your automation logic predictable and clean.

Execute commands from Pydantic AI

Use `execute_composio_tool` to trigger hardware actions. Because you are using Pydantic AI, the return data is parsed into your models, allowing for immediate processing of the command result. You maintain total control over your data flow. The agent state remains consistent with the actual status of your devices.

Setup guide

Set up Composio Smart Home MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "composio-smart-home-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Composio Smart Home tools.",
)

result = await agent.run("List recent Composio Smart Home transactions")
print(result.output)

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Common questions about Composio Smart Home MCP in Pydantic AI

You use the MCPToolset class with your HTTP endpoint. This brings the Composio Smart Home tools directly into your Pydantic AI agent.

It does. By using Pydantic models, you ensure that every response from the MCP server matches your expected format.

Yes, it supports both Streamable HTTP and SSE transports. You configure your client to connect to the server endpoint using your preferred method.

Your agent will fail loudly with a validation error. This forces you to handle the issue immediately rather than letting bad data drift through your system.

The server acts as a secure boundary. Only the result of your commands reaches your Pydantic AI agent, ensuring your device account credentials never touch your local code.

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