How to Use the Honeywell Forge MCP in Pydantic AI

Q: How do I set up Honeywell Forge with Pydantic AI?

Run pip install "pydantic-ai-slimmcp". Create an MCPToolset with your HTTP endpoint. Pass it to your Agent using the toolsets argument.

Q: How do I unlock a door using Honeywell Forge and Pydantic AI?

The agent calls unlockdoor with the specific access point ID. The door disengages its lock and enters a free-access state.

Bring Honeywell Forge into Pydantic AI via MCP. Enforce strict type validation on every HVAC reading and door lock command.

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Connect Honeywell Forge MCP to Pydantic AI

Create your Vinkius account to connect Honeywell Forge 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 Honeywell Forge with Pydantic AI

Ask AI about this MCP

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Claude

Perplexity

Validate Facility Data

`get_building_details` returns the exact floor plans and HVAC zones for a site. Pydantic AI validates every field in that response at runtime. You know exactly what data the agent received. If the API changes a key name, the agent fails immediately instead of silently corrupting your database. You get a validation error. The framework forces you to handle the bad payload before it breaks your application.

Execute Strict MCP Server Commands

`lock_door` engages the physical locking mechanism on a specific entry point. Before your agent fires that command through this MCP Server, it verifies the door ID. It uses `list_access_points` to pull the exact turnstile or gate record. Here's the thing. You get absolute certainty that the right door secures at the right time. The door enters a secured state immediately. Only authorized credentials can override the lock.

Log Incident Responses

`get_alarms` fetches the severity level and timestamp for active fire or security events via the MCP connection. Your model-agnostic agent reads the incident. It parses the source device and description. The agent uses `acknowledge_alarm` to log human review. Pydantic ensures the payload matches the exact schema the backend expects. You track the response workflow without clearing the underlying fault condition.

Setup guide

Set up Honeywell Forge 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": {
        "honeywell-forge-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Honeywell Forge transactions")
print(result.output)

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Common questions about Honeywell Forge MCP in Pydantic AI

Run `pip install "pydantic-ai-slim[mcp]"`. Create an `MCPToolset` with your HTTP endpoint. Pass it to your Agent using the `toolsets` argument.

Yes. The framework is model-agnostic. You can route your building telemetry through OpenAI, Anthropic, or a local instance.

The agent calls `unlock_door` with the specific access point ID. The door disengages its lock and enters a free-access state.

Runtime validation. Every response from the server gets checked against your Pydantic models. You never process hallucinated fields.

The server transmits RTSP stream URLs and camera locations through a zero-trust sandbox. Connections drop immediately after the request finishes. No video data caches on the host.

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