bacnet-mcp

## BACnet MCP Server [](https://github.com/ezhuk/bacnet-mcp/actions/workflows/test.yml) [](https://codecov.io/github/ezhuk/bacnet-mcp) [](https://pypi.org/p/bacnet-mcp) A lightweight [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server that connects LLM agents to [BACnet](https://en.wikipedia.org/wiki/BACnet) devices in a secure, standardized way, enabling seamless integration of AI-driven workflows with Building Automation (BAS), Building Management (BMS) and Industrial Control (ICS) systems, allowing agents to monitor real-time sensor data, actuate devices, and orchestrate complex automation tasks. ## Getting Started Use [uv](https://github.com/astral-sh/uv) to add and manage the BACnet MCP server as a dependency in your project, or install it directly via `uv pip install` or `pip install`. See the [Installation](https://github.com/ezhuk/bacnet-mcp/blob/main/docs/bacnet-mcp/installation.mdx) section of the documentation for full installation instructions and more details. ```bash uv add bacnet-mcp ``` The server can be embedded in and run directly from your application. By default, it exposes a `Streamable HTTP` endpoint at `http://127.0.0.1:8000/mcp/`. ```python # app.py from bacnet_mcp import BACnetMCP mcp = BACnetMCP() if __name__ == "__main__": mcp.run(transport="http") ``` It can also be launched from the command line using the provided `CLI` without modifying the source code. ```bash bacnet-mcp ``` Or in an ephemeral, isolated environment using `uvx`. Check out the [Using tools](https://docs.astral.sh/uv/guides/tools/) guide for more details. ```bash uvx bacnet-mcp ``` ### Configuration For the use cases where most operations target a specific device, such as a Programmable Logic Controller (PLC) or BACnet gateway, its connection settings (`host` and `port`) can be specified at runtime using environment variables so that all prompts that omit explicit connection parameters will be routed to this device. ```bash export BACNET_MCP_BACNET__HOST=10.0.0.1 export BACNET_MCP_BACNET__PORT=47808 ``` These settings can also be specified in a `.env` file in the working directory. ```text # .env bacnet_mcp_bacnet__host=10.0.0.1 bacnet_mcp_bacnet__port=47808 ``` When interacting with multiple devices, each device’s connection parameters (`host`, `port`) can be defined with a unique `name` in a `devices.json` file in the working directory. Prompts can then refer to devices by `name`. ```json { "devices": [ {"name": "Boiler", "host": "10.0.0.3", "port": 47808}, {"name": "Valve", "host": "10.0.0.4", "port": 47808} ] } ``` ### MCP Inspector To confirm the server is up and running and explore available resources and tools, run the [MCP Inspector](https://modelcontextprotocol.io/docs/tools/inspector) and connect it to the BACnet MCP server at `http://127.0.0.1:8000/mcp/`. Make sure to set the transport to `Streamable HTTP`. ```bash npx @modelcontextprotocol/inspector ```  ## Core Concepts The BACnet MCP server leverages FastMCP 2.0's core building blocks - resource templates, tools, and prompts - to streamline BACnet read and write operations with minimal boilerplate and a clean, Pythonic interface. ### Read Properties Each object on a device is mapped to a resource (and exposed as a tool) and [resource templates](https://gofastmcp.com/servers/resources#resource-templates) are used to specify connection details (host, port) and read parameters (instance, property). ```python @mcp.resource("udp://{host}:{port}/{obj}/{instance}/{prop}") @mcp.tool( annotations={ "title": "Read Property", "readOnlyHint": True, "openWorldHint": True, } ) async def read_property( host: str = settings.bacnet.host, port: int = settings.bacnet.port, obj: str = "analogValue", instance: str = "1", prop: str = "presentValue", ) -> str: """Reads the content of a BACnet object property on a remote unit.""" ... ``` ### Write Properties Write operations are exposed as a [tool](https://gofastmcp.com/servers/tools), accepting the same connection details (host, port) and allowing to set the content of an object property in a single, atomic call. ```python @mcp.tool( annotations={ "title": "Write Property", "readOnlyHint": False, "openWorldHint": True, } ) async def write_property( host: str = settings.bacnet.host, port: int = settings.bacnet.port, obj: str = "analogValue,1", prop: str = "presentValue", data: str = "1.0", ) -> str: """Writes a BACnet object property on a remote device.""" ... ``` ### Authentication To enable authentication using the built-in [AuthKit](https://www.authkit.com) provider for the `Streamable HTTP` transport, provide the AuthKit domain and redirect URL in the `.env` file. Check out the [AuthKit Provider](https://gofastmcp.com/servers/auth/remote-oauth#example%3A-workos-authkit-provider) section for more details. ### Interactive Prompts Structured response messages are implemented using [prompts](https://gofastmcp.com/servers/prompts) that help guide the interaction, clarify missing parameters, and handle errors gracefully. ```python @mcp.prompt(name="bacnet_help", tags={"bacnet", "help"}) def bacnet_help() -> list[Message]: """Provides examples of how to use the BACnet MCP server.""" ... ``` Here are some example text inputs that can be used to interact with the server. ```text Read the presentValue property of analogInput,1 at 10.0.0.4. Fetch the units property of analogInput 2. Write the value 42 to analogValue instance 1. Set the presentValue of binaryOutput 3 to True. ``` ## Examples The `examples` folder contains sample projects showing how to integrate with the BACnet MCP server using various client APIs to provide tools and context to LLMs. - [openai-agents](https://github.com/ezhuk/bacnet-mcp/tree/main/examples/openai-agents) - shows how to connect to the BACnet MCP server using the [OpenAI Agents SDK](https://openai.github.io/openai-agents-python/mcp/). - [openai](https://github.com/ezhuk/bacnet-mcp/tree/main/examples/openai) - a minimal app leveraging remote MCP server support in the [OpenAI Python library](https://platform.openai.com/docs/guides/tools-remote-mcp). - [pydantic-ai](https://github.com/ezhuk/bacnet-mcp/tree/main/examples/pydantic-ai) - shows how to connect to the BACnet MCP server using the [PydanticAI Agent Framework](https://ai.pydantic.dev). ## Docker The BACnet MCP server can be deployed as a Docker container as follows: ```bash docker run -d \ --name bacnet-mcp \ --restart=always \ -p 8080:8000 \ --env-file .env \ ghcr.io/ezhuk/bacnet-mcp:latest ``` This maps port `8080` on the host to the MCP server's port `8000` inside the container and loads settings from the `.env` file, if present. ## License The server is licensed under the [MIT License](https://github.com/ezhuk/bacnet-mcp?tab=MIT-1-ov-file).