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Agent Firewall MCP

by mlawsonkingversion 1.3.0i★ –iRuns on your computer
Registry nameio.github.mlawsonking/agent-firewall-mcp

Install

Overview

Description from the maker (original English)

Input/output safety for AI agents: known-pattern injection and obfuscation scan, URL/IP, secrets.

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

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": {
    "agent-firewall": {
      "command": "npx",
      "args": [
        "-y",
        "agent-firewall-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agent-firewall -- npx -y agent-firewall-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "agent-firewall": {
      "command": "npx",
      "args": [
        "-y",
        "agent-firewall-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": {
    "agent-firewall": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agent-firewall-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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account mlawsonking, 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 Otheri

  • More stars than 0% of the other 32727 servers in this category
  • Published to the registry more recently than 22% of the other 32727 servers in this category
  • Basic checks equal to or better than 100% of the other 32727 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 Agent Firewall MCP 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 (1.3.0) 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 Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Foliosio

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
Install

Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
Install

Foliosio

by foliosio.com

Read your support inbox, tag conversations and save draft replies from your AI agent. Never sends.

Runs in the cloudUpdated today
Install

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.

agent-firewall-mcp

An MCP server that treats every external input as untrusted. It matches text against known prompt-injection patterns, checks URLs and IPs, screens for leaked secrets and PII, and checks passwords against known breaches. Deterministic, no LLM, free.

The basic rule for agent security (OWASP's LLM01) is to treat anything the agent reads from the outside as potentially hostile: web pages, tool output, files, user input. These are the checks for doing that at the point where the content comes in, before it reaches the model.

Install

{ "mcpServers": { "agent-firewall": { "command": "npx", "args": ["-y", "agent-firewall-mcp"] } } }

Tools

  • scan_content: match text or a fetched URL against 11 known prompt-injection and jailbreak patterns, plus 5 obfuscation checks (zero-width characters, bidi tricks, the Unicode tag block, CSS-hidden text, HTML-comment instructions). Returns allow, review, or block, and the rule IDs that fired. It is a pattern matcher, not a classifier: a novel phrasing or a paraphrase will not be caught, and allow means nothing matched rather than that the content is safe.
  • scan_secrets: match text against 22 secret patterns — AWS access key ids, GitHub tokens, OpenAI, Anthropic, Google API keys, Slack, Stripe live secret keys, Twilio, npm tokens, JWTs, PEM private-key blocks, Azure storage keys, SAS tokens and AD client secrets, GCP service-account key ids and OAuth refresh tokens, database and ODBC connection-string passwords, SendGrid, GitLab, Hugging Face, and a generic key = "value" assignment — and 3 PII patterns: email, US SSN, Luhn-checked card numbers. A credential from a vendor not on that list is not found unless it happens to be written as one of those assignments, and that rule is narrow: api-key = "abc12345" matches, {"api_key": "abc12345"} does not, and an unquoted value does not. A clean result is not proof the text is clean. Returns the findings (masked) and a redacted copy: the secret value is replaced and the label stays, api_key = "[REDACTED:Generic Secret Assignment]". The line is not dropped and the document is not scrubbed. A PEM block is removed in full.
  • check_url: URL and domain safety, using structural heuristics (punycode host, 14 known shorteners, 23 abuse-prone TLDs, raw-IP host, credentials in the URL, brand lookalikes), domain age from RDAP, and the final URL after redirects. "Brand lookalike" is a substring test — one of 14 brand names in the hostname that is not the registrable domain, like paypal.com.secure-login.tk. It is not edit distance and not homoglyphs, so paypa1.com gets past it. Only the final URL is re-checked, not every hop, and its flags only count when the redirect lands on a different host. Domain age is looked up for the host you passed in, not the host you land on. Returns safe, suspicious, or malicious.
  • check_ip: IP reputation, covering Tor exit nodes (Tor Project bulk exit list), ASN and org (via Team Cymru), reverse DNS, whether the org name looks like a datacenter, and one DNSBL lookup: Spamhaus ZEN, IPv4 only. Spamhaus refuses queries from many cloud resolvers, so the lookup can be inconclusive; that comes back as listed: null with a note and adds nothing to the score. Only listed: true moves the verdict, so an inconclusive lookup ends up with the same verdict as a clean one — read blocklist.listed rather than the verdict alone.
  • check_password: check a password against HIBP's Pwned Passwords using k-anonymity, so the plaintext never leaves the server.

Rule updates

About once a day this server asks the rules feed whether there is a newer ruleset, and applies it if there is. The request carries two things: which surface asked, which here is facade, and the rules version already installed. No machine id, no user id, no file names, nothing you scanned.

Bundles are signed with Ed25519 and verified against a public key compiled into this package, so it does not matter which mirror served one. A bundle that fails its signature, its schema, or its ReDoS check is discarded and the rules you already had stay in place. --offline turns updates off, as does AGENT_GUARDS_NO_FEED=1 or {"feed": false} in ~/.agent-guards/config.json. The bundle format and how to verify one yourself: https://github.com/mlawsonking/MCP/blob/main/rules/README.md

Data comes from HIBP, RDAP, the Tor Project, Team Cymru, DNS, and curated rulesets. It calls https://agent-firewall-seven.vercel.app (set AGENT_FIREWALL_API to override). One of six agent guards in this repo. MIT.

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