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PopNx MCPMCP servers for people who use AI · explained in plain words

Witnessory

by witnessoryversion 0.2.4i★ –iRuns on your computer
Registry nameio.github.witnessory/witnessory

Install

Overview

Description from the maker (original English)

Post-quantum readiness of any website, PQC adoption figures, the probe map; paid checks via x402.

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: Travel, maps & weather

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).
  • The registry lists no key to fill in.

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": {
    "witnessory": {
      "command": "uvx",
      "args": [
        "witnessory",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add witnessory -- uvx witnessory mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "witnessory": {
      "command": "uvx",
      "args": [
        "witnessory",
        "mcp"
      ]
    }
  }
}

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": {
    "witnessory": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "witnessory",
        "mcp"
      ]
    }
  }
}

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.

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 witnessory, 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 Travel, maps & weatheri

  • More stars than 0% of the other 1718 servers in this category
  • Published to the registry more recently than 72% of the other 1718 servers in this category
  • Basic checks equal to or better than 100% of the other 1718 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 Witnessory 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 (0.2.4) reached the registry 11 days 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: DogPolicies, London Foster Realty LLC, Cajon.pro

Alternatives

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

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Cajon.pro

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Drum schools map (Russia, Kazakhstan, Armenia, Belarus), song tempo and drum parts, cajons.

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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.

Witnessory client

Witnessory measures how far the internet has moved to post-quantum cryptography. This is the client: the services as Python functions, a command line, and an MCP server so an agent can use them as tools. Standard library only; Apache 2.0.

pip install witnessory

From the command line

witnessory check example.org          # one site's post-quantum readiness, in a sentence

witnessory check example.org --json # the whole signed result witnessory headline # the observatory's headline figures, by layer witnessory probes # where the probes measure from witnessory status # whether every service is up witnessory pricing # what is paid, and the prices

From Python

import witnessory

r = witnessory.check("example.org") print(r["summary"]) # "example.org: a current browser gets post-quantum key exchange ..." witnessory.verify(r) # {"ed25519": True, "mldsa65": True} (needs: pip install "witnessory[verify]") witnessory.headline()"layers"

As an MCP server, for agents

Command witnessory, argument mcp. For example, in a client's configuration:

{"mcpServers": {"witnessory": {"command": "witnessory", "args": ["mcp"]}}}

Tools: check_site, pq_headline, probe_map, service_status, pricing. Resources: Witnessory's llms.txt and pricing.json. Messages are JSON-RPC, one per line, on stdin and stdout.

Limits and keys

A free check is one vantage, once: 20 new checks an hour from one address, results reused for 10 minutes. A paid plan's key (WITNESSORY_KEY, or --key) makes checks fresh and counted per month instead of per address. Every answer carries offers: what more there is and where the prices are (https://witnessory.org/pricing.json). Watching your own sites over time from several networks, with alerts and signed evidence, is a separate product on the same page.

Paying per request, as an agent

No account is needed: GET https://api.witnessory.org/pay/check?domain=example.org answers 402 with what to pay (x402 v2; USDC on Base), and any x402-capable client pays and resends. This client can pay too:

pip install "witnessory[pay]"

export WITNESSORY_PAY_KEY=0x... # a wallet holding a little USDC on Base witnessory pay address # where to send the USDC witnessory pay check example.org # $0.01, one fresh signed check witnessory pay key api-developer # $19, a key for 2,000 fresh checks in 31 days -> WITNESSORY_KEY

From code: witnessory.pay.check("example.org") and witnessory.pay.buy_key("api-developer"). As an MCP tool: pay_check. Index of what is sold: https://api.witnessory.org/pay.

Terms: https://witnessory.org/terms.html. Privacy: https://witnessory.org/privacy.html. Contact: security@witnessory.org.

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