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

Blackwall

by bluetieroperations-createversion 1.4.2i★ –iRuns on your computer
Registry namecom.blackwalltier/blackwall

Install

Overview

Description from the maker (original English)

API-key pre-action risk gate: any irreversible agent action (money, SQL, delete, email).

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: Chat & email
  • You need to fill in: BLACKWALL_API_KEY

Install

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

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • You fill in yourself: BLACKWALL_API_KEY, BLACKWALL_MODE

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • npmNode.js installed (for the npx 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": {
    "blackwall": {
      "command": "npx",
      "args": [
        "-y",
        "blackwall-mcp"
      ],
      "env": {
        "BLACKWALL_API_KEY": "your-value",
        "BLACKWALL_MODE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add blackwall --env BLACKWALL_API_KEY=your-value --env BLACKWALL_MODE=your-value -- npx -y blackwall-mcp

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": {
    "blackwall": {
      "command": "npx",
      "args": [
        "-y",
        "blackwall-mcp"
      ],
      "env": {
        "BLACKWALL_API_KEY": "your-value",
        "BLACKWALL_MODE": "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": {
    "blackwall": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "blackwall-mcp"
      ],
      "env": {
        "BLACKWALL_API_KEY": "your-value",
        "BLACKWALL_MODE": "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

  • BLACKWALL_API_KEY secret required env
    Your BLACK_WALL API key (bw_live_…) from https://blackwalltier.com/dashboard/keys
  • BLACKWALL_MODE env
    observe (log only, never block) or enforce (default).

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 7, 2026

  • ! Caution

    Maker matches the repo

    The publisher (blackwalltier.com) is not the repo owner (bluetieroperations-create); someone else may have listed it

  • … 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 Chat & emaili

  • More stars than 0% of the other 1782 servers in this category
  • Published to the registry more recently than 26% of the other 1782 servers in this category
  • Basic checks equal to or better than 32% of the other 1782 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 Blackwall safe?

It passed 0 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?

You need to fill in: BLACKWALL_API_KEY

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 (1.4.2) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Vexa, emailmd, MCP WhatsApp Cloud

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Vexa

by Vexa-ai

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

Runs in the cloud★ 2,949Apache-2.0Updated 2 months ago
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emailmd

by anypost

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

Computer or cloud★ 1,385MITUpdated 31 days ago
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MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

Runs on your computer★ 277MITUpdated 5 months ago
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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.

blackwall-mcp

A guardrail for AI agents, as an MCP server. Your agent calls one tool — forecast — before any irreversible action (send email, move money, run SQL, delete data, post content). It gets back a risk score (0–100), a reversibility class, a GO / CAUTION / STOP recommendation, and named red flags in a few seconds (~4-8s).

Works in any MCP host: Claude Desktop, Claude Code, Cursor, Windsurf, and any agent framework with MCP support.

The wall between your agent and disaster. A BLUETIER product.


1. Get an API key

Sign up free at https://blackwalltier.com → Dashboard → API keys → Create key. Free tier: ~100 forecasts/month, no card. Your key looks like bw_live_….

2. Add the server to your MCP host

Claude Desktop

Edit claude_desktop_config.json (Settings → Developer → Edit Config):

{

"mcpServers": { "blackwall": { "command": "npx", "args": ["-y", "blackwall-mcp"], "env": { "BLACKWALL_API_KEY": "bw_live_your_key_here" } } } }

Restart Claude Desktop. You'll see a forecast tool available.

Cursor

Settings → MCP → Add new global MCP server, then in mcp.json:

{

"mcpServers": { "blackwall": { "command": "npx", "args": ["-y", "blackwall-mcp"], "env": { "BLACKWALL_API_KEY": "bw_live_your_key_here" } } } }

Claude Code
claude mcp add blackwall -e BLACKWALL_API_KEY=bw_live_your_key_here -- npx -y blackwall-mcp
Run locally (any host / testing)
BLACKWALL_API_KEY=bw_live_your_key_here npx -y blackwall-mcp

3. Use it

Once added, instruct your agent: *"Before any irreversible action, call the forecast tool and stop if it returns STOP."* The model will call it automatically when it's about to do something risky.


The forecast tool

ParameterTypeRequiredDescription
actionstring✅The action type, e.g. send_email, make_payment, run_sql, delete_file, post_content
inputsobject✅Concrete parameters: recipient, amount_usd, SQL statement, file path, message body, URL, etc.
contextobject—Optional: { agent_role, user_intent, environment }
depthstandard \deep—Analysis depth. standard is the default.

Returns: recommendation (GO/CAUTION/STOP), risk_score (0–100), reversibility (class + rollback cost), gate (proceed/confirm/human-required), confidence, red_flags[], predicted_result, alternative_actions[].

Example

Agent about to run DELETE FROM users; (no WHERE clause) →

🛑 BLACK_WALL: STOP — risk 99/100

Red flags: • [CRITICAL] SQL_NO_WHERE — deletes the entire table, not one row • [CRITICAL] INTENT_MISMATCH — intent was "remove a single test row" • [CRITICAL] IRREVERSIBLE_NO_BACKUP — no recovery path Guidance: DO NOT take this action. Surface the red flags to the user.


Observe mode — try it with zero risk

Not ready to let a guardrail block your agents? Start in observe mode. It scores and logs every action but never tells the agent to stop — your agents behave exactly as they do today. After a week, review your dashboard and see what it *would* have caught.

{

"mcpServers": { "blackwall": { "command": "npx", "args": ["-y", "blackwall-mcp"], "env": { "BLACKWALL_API_KEY": "bw_live_your_key_here", "BLACKWALL_MODE": "observe" } } } }

Then see *"what your agents almost did"* in your dashboard. Flip BLACKWALL_MODE to enforce (or just remove it — enforce is the default) when you're ready to actually block.

Two tools

The server exposes two MCP tools:

  • `forecast` — pre-action risk check. Returns GO / CAUTION / STOP, risk score, named red flags, reversibility class, and a verifiable receipt.
  • `observe` — post-action outcome report. Tells BLACK_WALL what actually happened after the action ran (or after the agent obeyed a STOP verdict). Closes the loop so the system can track prediction accuracy over time. FREE — no tokens charged.

Wire your agent to call forecast before any irreversible action, then call observe afterwards with the forecast_id from the original response. observe accepts an outcome_class (matched / over_scope / under_scope / no_op / diverged / aborted) and optional divergence_severity and details. See the forecast example below; the same wiring applies to observe.

Use it in code — the gate() control (any JS/TS agent)

Running an agent in Node (LangChain, a custom loop, ElizaOS, a cron job)? You don't need an MCP host — call BLACK_WALL straight from the library, and let `gate()` make the check *impossible to skip*. One wrap forecasts the action, enforces the verdict (fails closed on STOP / unknown / unreachable), runs your side effect only when allowed, and reports the real outcome with observe automatically.

npm i blackwall-mcp
import { gate, BlackWallBlocked } from 'blackwall-mcp/lib/gate';

// Wrap ANY risky action in a few lines. BLACKWALL_API_KEY lives in the env. try { const { result } = await gate( { action: 'run_sql', inputs: { statement: sql }, context: { user_intent } }, () => db.query(sql), // your real side effect — only runs if allowed { onCaution: (v) => confirmWithHuman(v) }, // CAUTION needs a yes; default = block ); // ...use result } catch (e) { if (e instanceof BlackWallBlocked) { // STOP, unconfirmed CAUTION, or forecast unavailable → the action NEVER ran console.error('Blocked:', e.reason, e.verdict?.red_flags); } else throw e; // a real error thrown by your action }

Fails closed by design. If no verdict can be obtained (network / auth / timeout), the action does not run unless you explicitly pass failOpen: true. A risk gate that fails open is not a risk gate. The loop closes itself — gate() calls observe with the actual outcome (matched / diverged / aborted), so your forecasts sharpen over time.

Prefer the lower-level pieces? They're exported too:

import { forecast, observe } from 'blackwall-mcp/lib';

const v = await forecast({ action: 'make_payment', inputs: { amount_usd: 50000 } }); if (v.recommendation === 'STOP') throw new Error('halt'); // ... take the action ... await observe(v.id, { outcome_class: 'matched' });

Runnable demo: examples/gate-quickstart.mjs.

Decision receipts (cryptographic, verifiable offline)

Every forecast response now includes a receipt field — an Ed25519 signature over canonical SHA-256 hashes of the request + response. Anyone with the published public key can verify offline that BLACK_WALL signed off on a specific (request, response) pair, without trusting our servers.

  • Published keys: https://blackwalltier.com/.well-known/blackwall-signing-keys.json (stable, cacheable)
  • Stateless verify endpoint: `POST https://blackwalltier.com/api/v1/receipts/verify` with { envelope, request_body, response_body }
  • Hashes only — BLACK_WALL never stores the raw request/response bodies, so receipts give cryptographic audit without payload exposure
  • Free-tier retention: 90 days. Paid: indefinite.

The MCP server surfaces the receipt id in its tool output so your agent can log it for later replay / audit.

Config reference

Env varRequiredDefaultNotes
BLACKWALL_API_KEY✅—bw_live_… from your dashboard
BLACKWALL_BASE_URL—https://blackwalltier.com
BLACKWALL_MODE—enforceobserve = log only, never block

Links

  • Site & docs: https://blackwalltier.com
  • Get a key: https://blackwalltier.com/dashboard/keys

MIT licensed.

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