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otgate — OT policy gateway

by alikup-aiversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.alikup-ai/otgate-opcua

Install

Overview

Description from the maker (original English)

Gates an LLM agent's writes to an OPC UA server on ranges, rate of change and live interlocks.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: OTGATE_BACKEND, OTGATE_POLICY, OTGATE_AUDIT, OTGATE_SHADOW, OTGATE_RATE_HISTORY, OTGATE_OPCUA_ENDPOINT

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "otgate-opcua": {
      "command": "uvx",
      "args": [
        "otgate"
      ],
      "env": {
        "OTGATE_BACKEND": "your-value",
        "OTGATE_POLICY": "your-value",
        "OTGATE_AUDIT": "your-value",
        "OTGATE_SHADOW": "your-value",
        "OTGATE_RATE_HISTORY": "your-value",
        "OTGATE_OPCUA_ENDPOINT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add otgate-opcua --env OTGATE_BACKEND=your-value --env OTGATE_POLICY=your-value --env OTGATE_AUDIT=your-value --env OTGATE_SHADOW=your-value --env OTGATE_RATE_HISTORY=your-value --env OTGATE_OPCUA_ENDPOINT=your-value -- uvx otgate

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "otgate-opcua": {
      "command": "uvx",
      "args": [
        "otgate"
      ],
      "env": {
        "OTGATE_BACKEND": "your-value",
        "OTGATE_POLICY": "your-value",
        "OTGATE_AUDIT": "your-value",
        "OTGATE_SHADOW": "your-value",
        "OTGATE_RATE_HISTORY": "your-value",
        "OTGATE_OPCUA_ENDPOINT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "otgate-opcua": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "otgate"
      ],
      "env": {
        "OTGATE_BACKEND": "your-value",
        "OTGATE_POLICY": "your-value",
        "OTGATE_AUDIT": "your-value",
        "OTGATE_SHADOW": "your-value",
        "OTGATE_RATE_HISTORY": "your-value",
        "OTGATE_OPCUA_ENDPOINT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • OTGATE_BACKEND env
    Backend to gate: 'fake' for the bundled in-memory reactor simulator, 'asyncua' for a real OPC UA server. Start with 'fake' — it needs no plant and no extra dependency.
  • OTGATE_POLICY env
    Path to the policy YAML. Any tag not listed in it is denied by default.
  • OTGATE_AUDIT env
    Path to the append-only JSONL audit log. Every call, allowed or not, produces exactly one line.
  • OTGATE_SHADOW env
    Set to 1 to run in shadow mode: allowed writes are recorded as 'WOULD execute' and never reach the backend. Use this to watch an agent for a while before letting it touch anything.
  • OTGATE_RATE_HISTORY env
    Path to a JSONL file that keeps the rate-of-change time base across restarts. Without it a restart loses the time base, and rate limits fall back to a one-interval allowance.
  • OTGATE_OPCUA_ENDPOINT env
    OPC UA endpoint, e.g. opc.tcp://localhost:4840. Required when OTGATE_BACKEND=asyncua.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account alikup-ai, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5676 servers in this category
  • Published to the registry more recently than 99% of the other 5676 servers in this category
  • Basic checks equal to or better than 100% of the other 5676 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is otgate — OT policy gateway safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry today.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

otgate

An OT-aware authorization gateway that sits between an LLM agent and an industrial OPC UA server, applying a process-aware access policy — value ranges, rate limits, interlocks — to every call the agent makes.

Русская версия →

[MCP client / agent] ---MCP---> [otgate] ---OPC UA---> [OPC UA server]

| [policy engine + audit + shadow mode]

The same decisions as terminal output ( python examples/demo.py )

otgate is itself an MCP server. The agent connects to it as if it were an ordinary OPC UA MCP; internally otgate holds a client to the real OPC UA server. Every call is transparent to the agent, and otgate intercepts each one to apply policy and record an audit line.

Why

  • Existing OPC UA MCP servers write to tags with no authorization layer — the agent has full, unbounded access.
  • Existing LLM guardrails (LlamaFirewall, NeMo Guardrails) work on text/prompts and do not understand process semantics — they know nothing about ranges, rates of change, or interlocks.
  • otgate closes exactly that gap: OT semantics + admission policy + audit.

It is not "you may write to this tag" but "you may write *within range X, no faster than Y over interval Z, and only while the emergency tag W is not active*".

Where this fits: OWASP ASI02

In the OWASP Top 10 for Agentic Applications, the risk otgate targets is ASI02 — Tool Misuse & Exploitation: an agent that stays inside its granted privileges but uses a legitimate tool unsafely — parameter pollution, excessive execution, or a call that is only dangerous given the current system state.

Identity and access layers (ASI03) answer *may this agent call this tool*. They do not look at what it writes, how fast, or under which conditions. otgate is the layer that does:

ASI02 sub-mechanismotgate
Parameter pollutionvalue_range — the argument itself is checked
Excessive execution / scalemax_rate over rate_interval, durable across restarts
Unsafe given system stateinterlocks — reads live guard tags before allowing
Unsafe composition (salami attack)cumulative_range — bounds total drift over a window, so slicing a forbidden move into legal steps does not work
Recursion / call stormsmax_calls over calls_interval
Unverifiable safety conditionfails closed — denies rather than guesses

Per-step limits judge one write; cumulative limits judge a *series*. Without the latter an agent walks around max_rate with many small legal steps:

step 1: 50.0 -> 52.5  (drift  +2.5)  ALLOW

step 2: 52.5 -> 55.0 (drift +5) ALLOW step 3: 55.0 -> 57.5 (drift +7.5) ALLOW step 4: 57.5 -> 60.0 (drift +10) ALLOW step 5: 60.0 -> 62.5 (drift +12.5) DENY cumulative drift too large: 62.5 is +12.5 from 50, allowed [-10, 10]

A full mapping against all ten OWASP agentic risks — including what otgate explicitly does not cover (tool-chain manipulation, goal hijacking, memory poisoning, rogue-agent detection) — is in [docs/threat-model.md](docs/threat-model.md).

Install

pip install -e .           # core: FakeBackend, engine, MCP server

pip install -e ".[dev]" # + pytest for the test suite pip install -e ".[opcua]" # + asyncua for a real OPC UA backend

Python 3.11+.

Policy example

A policy is a YAML list of per-tag rules. Any tag not listed is denied by default.

# examples/reactor_policy.yaml
  • tag: "ns=2;s=Reactor.TIC101.PV" # temperature, read-only access: read
  • tag: "ns=2;s=Reactor.TIC101.SP" # temperature setpoint access: write_with_approval # writes need human approval (ASK) value_range: [40, 80] # only within 40..80 degC cumulative_range: [-10, 10] # ... and no more than 10 degC total drift cumulative_interval: 3600 # from where it stood an hour ago max_rate: 5 # no faster than 5 degC ... rate_interval: 60 # ... per 60 seconds interlocks:
  • tag: "ns=2;s=Reactor.ESD" # blocked while emergency shutdown ... condition: "== true" # ... is active action: deny

Access levels: read, write, write_with_approval, deny.

Write check order (first failing check wins): tag-in-policy → access → value range → interlocks → rate of change → approval → allow.

Demo

python examples/demo.py
otgate demo — agent interacting with a reactor via the policy gateway

read temperature (PV) ALLOW read allowed -> 55.0 write setpoint = 60 degC (in range) ASK write requires human approval write setpoint = 200 degC (out of range) DENY value 200.0 is outside allowed range [40.0, 80.0] write setpoint = 60 degC while ESD active DENY interlock active: ns=2;s=Reactor.ESD == True (current ns=2;s=Reactor.ESD = True) write setpoint = 78 degC one second later DENY rate of change too high: |78.0 - 50.0| = 28 in 1s exceeds 5 per 60s

audit log


{"timestamp": "...", "action": "read", "node_id": "ns=2;s=Reactor.TIC101.PV", "value": null, "decision": "ALLOW", "reason": "read allowed", "shadow": false, "executed": true} {"timestamp": "...", "action": "write", "node_id": "ns=2;s=Reactor.TIC101.SP", "value": 60.0, "decision": "ASK", "reason": "write requires human approval", "shadow": false, "executed": false} {"timestamp": "...", "action": "write", "node_id": "ns=2;s=Reactor.TIC101.SP", "value": 200.0, "decision": "DENY", "reason": "value 200.0 is outside allowed range [40.0, 80.0]", "shadow": false, "executed": false} {"timestamp": "...", "action": "write", "node_id": "ns=2;s=Reactor.TIC101.SP", "value": 60.0, "decision": "DENY", "reason": "interlock active: ns=2;s=Reactor.ESD == True (current ns=2;s=Reactor.ESD = True)", "shadow": false, "executed": false} {"timestamp": "...", "action": "write", "node_id": "ns=2;s=Reactor.TIC101.SP", "value": 78.0, "decision": "DENY", "reason": "rate of change too high: |78.0 - 50.0| = 28 in 1s exceeds 5 per 60s", "shadow": false, "executed": false}

Run as an MCP server

Published to the official MCP Registry as `io.github.alikup-ai/otgate-opcua`, and to PyPI as `otgate`.

The registry name carries opcua because its search matches on the server name only and does not index

descriptions, so a bare otgate is findable only by someone who already knows the word.

otgate exposes: read_tag, write_tag, browse, get_audit_log, and the operator approval tools list_pending, approve, deny.

otgate                      # console script (stdio transport)

python -m otgate.server # equivalent

Configuration is via environment variables (so the backend switches without code changes):

VariableDefaultMeaning
OTGATE_BACKENDfakefake or asyncua
OTGATE_POLICYexamples/reactor_policy.yamlpolicy YAML path
OTGATE_AUDITaudit.jsonlaudit log path
OTGATE_SHADOW*(off)*1/true to enable shadow mode
OTGATE_RATE_HISTORY*(in-memory)*path to a JSONL file to make rate-of-change history survive restarts
OTGATE_OPCUA_ENDPOINT—required when backend is asyncua
OTGATE_AGENT_TOKEN—bearer token for the single-agent HTTP channel
OTGATE_AGENTS—path to agents.yaml for multi-agent mode (overrides single-agent)
OTGATE_OPERATOR_TOKEN—bearer token for the operator HTTP channel (must differ from every agent token)
OTGATE_HOST / OTGATE_AGENT_PORT / OTGATE_OPERATOR_PORT127.0.0.1 / 8770 / 8771HTTP bind host and ports

Example MCP client config (FakeBackend):

{

"mcpServers": { "otgate": { "command": "otgate", "env": { "OTGATE_BACKEND": "fake" } } } }

Related work: the layer underneath

otgate governs what the process allows right now — ranges, rate against the live value, interlocks, drift, approval. It does not try to be the access layer underneath that, and there is a good one: IndustriAgents/OPCUA-MCP answers *may this caller touch this node at all* — read-only by default, control profiles, allowlisted targets, pinned certificates, audited control calls.

The two questions are genuinely different. A write of 40 °C to an allowlisted target satisfies every access rule and is still wrong if the tag reads 22 °C and the ramp violates a thermal limit. Access control without process limits permits that write; process limits without access control have nothing to stand on.

A visible difference in the audit trail shows the split: their acceptance criteria require records to carry profile, tool, decision and target IDs without values, which is right for an access log. otgate records the value, because "200.0 refused, outside [40, 80]" is not a sentence you can write without it.

Connecting a real OPC UA server

No code changes — install the extra and point the config at your server:

pip install -e ".[opcua]"

export OTGATE_BACKEND=asyncua export OTGATE_OPCUA_ENDPOINT=opc.tcp://localhost:4840 otgate

The backend lives behind an abstract interface (otgate/backends/base.py) with two implementations — FakeBackend (in-memory simulator, no dependencies) and AsyncuaBackend (real OPC UA). asyncua is imported lazily, so the fake backend, the tests and the demo run without it.

Shadow mode

With OTGATE_SHADOW=1, a write that the engine allows is not executed on the backend — instead the audit records a "WOULD execute" line with executed: false. This lets you run an agent and see what it *would* do to the process without any real effect.

Human approval workflow

A write_with_approval tag returns ASK. Rather than silently drop the write, otgate parks it as a pending request with a TTL and hands the agent an approval id. A human then resolves it through the operator tools:

  • list_pending — show parked write requests.
  • approve — approve and execute, *after re-checking policy* against the current process state. If an interlock tripped or the value drifted out of range while the request waited, the approval is recorded but the write is blocked — an approval is intent, never a blind execute.
  • deny — reject; the write never runs.

Requests

Only the beginning is shown; read the rest in the repo

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