Forgeline

Forgeline

Read-only Modbus TCP monitoring server that exposes safe MCP tools for AI agents to read holding/input registers, coils, and device identity from industrial devices without write access.

Category
Visit Server

README

Forgeline

Read-only Modbus TCP monitoring, exposed as safe MCP tools.

CI License: Apache 2.0

<p align="center"> <img src="docs/architecture.svg" alt="Forgeline architecture: an AI agent reads a Modbus device over MCP, read-only by design" width="100%"> </p>

Forgeline is an MCP server that lets an AI agent monitor an industrial Modbus TCP device — reading holding/input registers, coils, and device identity — without being able to change anything.

It's read-only on purpose: there are no write or command tools, and no code that writes coils or registers, so a connected agent can't alter device state.

A simulated Modbus device is bundled, so you can run it with no hardware.

Status

Working MVP. Four read-only tools — get_device_info, read_holding_registers, read_input_registers, read_coils — tested against the bundled simulator.

Project layout

forgeline/
├── src/forgeline/
│   ├── server.py        # FastMCP server: registers MCP tools
│   └── tools.py         # Read-only Modbus implementations (transport-agnostic)
├── simulator/
│   └── device.py        # Bundled pymodbus TCP simulator (zero hardware)
├── docker-compose.yml   # Starts simulator + server together
├── Dockerfile
├── pyproject.toml
├── README.md
└── LICENSE              # Apache 2.0

Quick start

Option A — Docker (simulator + server, one command)

docker compose up --build

This starts:

  • simulator — a virtual Modbus device on localhost:5020.
  • forgeline — the MCP server over streamable-http at http://localhost:8000/mcp, already pointed at the simulator.

Option B — Local Python

Requires Python 3.10+.

pip install -e .

# Terminal 1: start the bundled simulator
forgeline-simulator

# Terminal 2: run the MCP server (stdio transport, for an MCP client)
forgeline

By default the server talks to the simulator on 127.0.0.1:5020.

Configuration

All configuration is via environment variables.

Variable Default Description
MODBUS_HOST 127.0.0.1 Host of the Modbus TCP device to monitor.
MODBUS_PORT 5020 Port of the Modbus TCP device.
MODBUS_UNIT_ID 1 Modbus unit / slave id.
MODBUS_TIMEOUT 3.0 Per-request timeout in seconds.
FORGELINE_TRANSPORT stdio MCP transport: stdio, sse, or streamable-http.
FORGELINE_HOST 127.0.0.1 Bind host for HTTP transports.
FORGELINE_PORT 8000 Bind port for HTTP transports.
SIMULATOR_HOST 0.0.0.0 Bind host for the bundled simulator.
SIMULATOR_PORT 5020 Bind port for the bundled simulator.

Connecting an MCP client

To launch Forgeline over stdio (e.g. from Claude Desktop or another MCP client), register a server that runs the forgeline command. Example client config:

{
  "mcpServers": {
    "forgeline": {
      "command": "forgeline",
      "env": { "MODBUS_HOST": "127.0.0.1", "MODBUS_PORT": "5020" }
    }
  }
}

(Start forgeline-simulator first, or point MODBUS_HOST/MODBUS_PORT at a real device.)

Tools

get_device_info

Returns identity and connection details for the monitored device.

{
  "host": "127.0.0.1",
  "port": 5020,
  "unit_id": 1,
  "connected": true,
  "device_identification_supported": true,
  "identity": {
    "vendor_name": "Forgeline",
    "product_code": "FL-SIM-1",
    "revision": "1.0.0",
    "vendor_url": "https://github.com/codenikhildr/Forgeline",
    "product_name": "Forgeline Modbus Simulator",
    "model_name": "Virtual PLC",
    "user_application_name": "Forgeline MVP Simulator"
  }
}

Devices that do not implement Modbus device identification still return connection details, with device_identification_supported: false.

read_holding_registers / read_input_registers

Read 16-bit registers — holding (FC 0x03, read/write on the device) or input (FC 0x04, read-only measurements). Parameters:

Param Type Default Bounds
address int — 0–65535
count int 1 1–125 (Modbus FC03/04 limit)
// read_holding_registers(address=0, count=5)
{
  "start_address": 0,
  "count": 5,
  "unit_id": 1,
  "values": [
    { "address": 0, "value": 100 },
    { "address": 1, "value": 101 },
    { "address": 2, "value": 102 },
    { "address": 3, "value": 103 },
    { "address": 4, "value": 104 }
  ]
}

read_coils

Read single-bit on/off coils (FC 0x01). Parameters:

Param Type Default Bounds
address int — 0–65535
count int 1 1–2000 (Modbus FC01 limit)
// read_coils(address=0, count=4)
{
  "start_address": 0,
  "count": 4,
  "unit_id": 1,
  "values": [
    { "address": 0, "value": false },
    { "address": 1, "value": true },
    { "address": 2, "value": false },
    { "address": 3, "value": true }
  ]
}

Requests outside these bounds (count over the limit, or a range that exceeds the 16-bit address space) are rejected before any request reaches the device.

Simulator data map

The bundled simulator pre-populates each table (addresses are zero-based):

Table FC Addresses Values
Holding registers 0x03 0–99 100 + addr
Input registers 0x04 0–99 200 + addr
Coils 0x01 0–99 addr % 2
Discrete inputs 0x02 0–99 (addr+1) % 2

Development

Run the test suite — it starts the bundled simulator on a test port and exercises all four tools plus the input-validation guards:

pip install -e ".[dev]"
pytest

CI runs the same suite on every push and pull request across Python 3.10–3.12.

License

Apache License 2.0. See LICENSE.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured