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Thingctx

by thingctxversion 0.2.2i★ –iRuns on your computer
Registry namecom.thingctx/thingctx

Install

Overview

Description from the maker (original English)

Drive devices and APIs from their W3C Thing Description. You gate every operation.

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: Other

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: THINGCTX_POLICY, THINGCTX_APPROVE_WHEN, THINGCTX_FS_ROOT

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": {
    "thingctx": {
      "command": "uvx",
      "args": [
        "thingctx",
        "--from",
        "thingctx[mcp,http,mqtt,media,filesystem,authz]",
        "thingctx-mcp",
        "https://td.thingctx.com/index.json"
      ],
      "env": {
        "THINGCTX_POLICY": "your-value",
        "THINGCTX_APPROVE_WHEN": "your-value",
        "THINGCTX_FS_ROOT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add thingctx --env THINGCTX_POLICY=your-value --env THINGCTX_APPROVE_WHEN=your-value --env THINGCTX_FS_ROOT=your-value -- uvx thingctx --from 'thingctx[mcp,http,mqtt,media,filesystem,authz]' thingctx-mcp https://td.thingctx.com/index.json

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": {
    "thingctx": {
      "command": "uvx",
      "args": [
        "thingctx",
        "--from",
        "thingctx[mcp,http,mqtt,media,filesystem,authz]",
        "thingctx-mcp",
        "https://td.thingctx.com/index.json"
      ],
      "env": {
        "THINGCTX_POLICY": "your-value",
        "THINGCTX_APPROVE_WHEN": "your-value",
        "THINGCTX_FS_ROOT": "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": {
    "thingctx": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "thingctx",
        "--from",
        "thingctx[mcp,http,mqtt,media,filesystem,authz]",
        "thingctx-mcp",
        "https://td.thingctx.com/index.json"
      ],
      "env": {
        "THINGCTX_POLICY": "your-value",
        "THINGCTX_APPROVE_WHEN": "your-value",
        "THINGCTX_FS_ROOT": "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

  • THINGCTX_POLICY env
    What the agent may do: read-only | full.
  • THINGCTX_APPROVE_WHEN env
    When the agent asks before acting: declared | destructive | all | never.
  • THINGCTX_FS_ROOT env
    Sandbox directory for the filesystem Thing. Unset = refuse every filesystem call.

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain thingctx.com (the registry checks domain ownership)

  • … 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 Otheri

  • More stars than 0% of the other 32380 servers in this category
  • Published to the registry more recently than 20% of the other 32380 servers in this category
  • Basic checks equal to or better than 100% of the other 32380 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 Thingctx 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 (0.2.2) reached the registry 3 months ago.

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: Spec Driven Development, Remote Desktop Commander, Dechonet MCP

Alternatives

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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.

thingctx

thingctx turns a description of any API, device, or local process into tools an AI agent can call: authorized per operation, over the system's own transport, and the agent never holds your keys. The description is a W3C Web of Things Thing Description (a TD), a plain JSON file naming what the system can do. Write one, or compile it from an OpenAPI spec. The described system is the server, so you run no server per integration.

A "Thing" is whatever you want to describe: a REST API, an app, a sensor, a media server, a local object, or one system that is several of those at once. A media server takes commands over HTTP and serves its stream over RTSP. The pump in examples/ reads over MQTT and acts through a local call. Each is one Thing and one description.

A description names actions, properties, and events, and gives each one a form: the entry that says where and how to reach it. The URL scheme in that address picks the transport per call, so however many protocols one Thing spans, the agent still sees one tool set.

docs/BINDINGS.md covers the transports and how to add your own. A subprocess transport, exec, also ships, and it ships locked: it refuses every command until you hand it an explicit allowlist.

Those three stay distinct all the way to the call. A read, a write, and a subscribe do not collapse into one undifferentiated function, which is why the gate can allow the read and refuse the write on the same system. A flat list of functions has no such handle.

Pick your path: use it as a library if you own the agent loop, the command line if you do not want to write code, the MCP bridge if your host only speaks MCP, or add a transport if thingctx does not speak your protocol yet.

Stuck, or wondering whether something is possible? Ask in Discussions. Want to build something small? The open issues say what would help.

First run: no keys, no network

One paste shows the whole idea. The description is inline and the handler ships with the package, so nothing here needs a key, a network, or a second file:

pip install thingctx
import asyncio

import thingctx from thingctx.contrib.time import make_time_handler

TD = { "@context": "https://www.w3.org/2022/wot/td/v1.1", "id": "urn:thingctx:time", "title": "Time", "securityDefinitions": {"nosec_sc": {"scheme": "nosec"}}, "security": ["nosec_sc"], "actions": { "getCurrentTime": { "description": "Current time in an IANA timezone (default UTC).", "input": { "type": "object", "properties": {"timezone": {"type": "string"}}, }, "safe": True, "idempotent": True, "forms": [{"href": "local://getCurrentTime"}], } }, }

async def main(): client = thingctx.ThingClient(tds=[TD], bindings=[thingctx.LocalBinding(make_time_handler())]) tools, invoke = client.as_tools() # specs for your model; invoke runs a call print("tools:", t["function" for t in tools]) print(await invoke("time__getCurrentTime", {"timezone": "UTC"}))

asyncio.run(main())

tools: ['time__getCurrentTime'] {'timezone': 'UTC', 'datetime': '2026-07-26T15:59:03.233080+00:00', 'utc_offset': '+0000'}

That is the whole loop: a description in, tools out, calls routed. LocalBinding is a binding, a transport implementation; this one routes the local:// address to the handler you pass it. Every other transport works the same way; only the form's href changes.

Install

pip install 'thingctx[llm,http,validate]'

Quote the argument; unquoted brackets fail in zsh. Base pip install thingctx has no dependencies; it already includes the local and exec transports. Redis support is pip install 'thingctx[redis]'. Every optional transport and capability has an extra, listed in pyproject.toml; each one this page uses is named next to the code that needs it.

The document

A description can be small. This one drives the live, key free Open-Meteo forecast API, so it runs as written. Save it as weather.td.json, a later example uses it:

{

"@context": "https://www.w3.org/2022/wot/td/v1.1", "id": "urn:example:weather:v1", "title": "Weather", "securityDefinitions": { "nosec_sc": { "scheme": "nosec" } }, "security": ["nosec_sc"], "actions": { "forecast": { "input": { "type": "object", "properties": { "latitude": { "type": "number" }, "longitude": { "type": "number" }, "current": { "type": "string" } }, "required": ["latitude", "longitude"] }, "forms": [{ "href": "https://api.open-meteo.com/v1/forecast", "htv:methodName": "GET" }] } } }

thingctx projects each action to a tool named __ : this file yields weather__forecast (a version segment on the id is dropped). docs/MAPPING.md specifies the full projection. The description carries no secrets, so it is safe to commit and share. The secret is supplied at runtime to the binding that carries the call. Secrets are keyed per Thing.

If your system already has an OpenAPI 3.x spec, you do not have to author a description at all:

pip install 'thingctx[openapi]'

thingctx import openapi https://api.example.com/openapi.json --out api.td.json

The spec can be a file or a URL, JSON or YAML; --base-url, --id, and --title override what the spec says. The result is a normal description, so everything else here applies to it unchanged.

Ready made descriptions for common apps, developer tools, and devices live at td.thingctx.com.

Use it as a library

Own the agent loop? Read descriptions, hand the specs to your model, and route each call back through invoke. ThingClient needs no LLM and has no opinion on what chose the action; any code can drive it. This sketch shows the surface against a folder describing a pump; from_arg turns a path or URL into a registry of descriptions:

import thingctx

async def run(): # a sketch, not a program: call it from your own loop client = thingctx.ThingClient.from_registry(thingctx.from_arg("./descriptions/")) specs, invoke = client.as_tools()

await invoke("pump__set_speed", {"rpm": 1500}) await client.read_property("pump__rpm") await client.write_property("pump__target_rpm", 1500) # gated like invoke async for evt in await client.subscribe( "pump__overheat" ): # subscribe returns an async iterator ...

The form picks the transport per call, so one client can read over HTTP, subscribe over MQTT, and read or write cached properties over Redis. Bindings that pull optional dependencies, including MQTT and Redis, are off by default: install the extra and pass bindings=thingctx.BindingRegistry.default(mqtt=True, redis=True).

Want the loop handled for you? The llm extra runs any provider through litellm; add the http extra, since the weather file's form is HTTPS. Set your provider key in its usual variable (OPENAI_API_KEY, ANTHROPIC_API_KEY, and so on) and pick a model with THINGCTX_MODEL:

import asyncio

import thingctx

async def main():

weather.td.json from above; it points at a live, key free API

host = thingctx.from_file("weather.td.json") print(await host.chat("What is the forecast for Cairo? Latitude 30.0, longitude 31.2."))

asyncio.run(main())

The model calls weather__forecast itself and answers in prose:

The forecast for Cairo is clear, around 34 C.

Safety: approval and authorization

Two opt in layers stand between an agent and a real system; both run before any transport is selected. Neither layer handles a credential. The binding holds the secret and the model never sees it.

Approval gates risky calls behind a human. Risk is read from the description, and when to gate is yours: declared (only actions the description marks risky; the default), destructive (adds non idempotent actions and every property write), all, or never. A gated call with no approver is denied: a gate with nobody to open it stays shut. The check sits inside invoke and write_property, so it covers the LLM loop, direct callers, and the MCP bridge alike.

Carrying on from the first example above, with the same TD:

def approve(req):  # sync or async; return True to allow

return input(f"run {req.tool_name}{req.arguments}? [y/N] ").lower() == "y"

client = thingctx.ThingClient( tds=[TD], bindings=[thingctx.LocalBinding(make_time_handler())], approve=approve, approve_when="all", )

Authorization decides from policy, per caller, per operation. Pass a pdp and an identity and every call authorizes the resolved (thing, affordance, operation) before it reaches the system; an affordance is an action, property, or event named in the description. This snippet condenses examples/14_authz.py, which runs as is on the core install. It defines the TD and Pump used below: a pump with one property, target_rpm.

from thingctx import LocalBinding, ThingClient

from thingctx.authz import LocalPolicyGrantSource, PolicyDecisionPoint, build_vocabulary

reader = ThingClient( tds=[TD], bindings=[LocalBinding(Pump())] ) # no pdp yet; parsed only to read the description vocab = build_vocabulary(reader.things) # the closed set the description declares

grants = LocalPolicyGrantSource({"operator": {("urn:demo:pump", "target_rpm", "readproperty")}}) pdp = PolicyDecisionPoint(vocabulary=vocab, grant_source=grants) identity = {"sub": "alice", "roles": ["operator"]} # claims, validated upstream

client = ThingClient(tds=[TD], bindings=[LocalBinding(Pump())], pdp=pdp, identity=identity)

Alice's operator role grants read on target_rpm and nothing else, so her reads pass and her writes are refused. The vocabulary is closed: a grant is honored only for operations the description declares. thingctx.authz imports no crypto and runs on the dependency free core. Identity is claims that something upstream validated, never the credential itself.

Running the example prints:

vocabulary (grantable tuples the TD declares):

(urn:demo:pump, target_rpm, readproperty) (urn:demo:pump, target_rpm, writeproperty)

READ target_rpm -> ALLOWED, device returned 1200 WRITE target_rpm -> DENIED, grant does not include ('urn:demo:pump', 'target_rpm', 'writeproperty')

RE-READ target_rpm -> 1200 (unchanged: the denied write never ran)

The full model is in docs/SECURITY.md.

The MCP bridge

Some agents only take tools over MCP. For those, thingctx ships one generic MCP server, with no per integration server. It serves any registry of descriptions: a folder, a URL, or a W3C Thing Description Directory. A Directory is the standard catalog server for descriptions.

pip install 'thingctx[mcp,http]'

thingctx-mcp ./descriptions/

For Claude D

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