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

AI Agent Firewall

by lucaslubiversion 0.7.1i★ –iRuns on your computer
Registry namecom.fidacy/ai-agent-firewall

Install

Overview

Description from the maker (original English)

Every agent action watched, every money-moving one gated, every verdict independently verifiable.

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
  • You need to fill in: FIDACY_ENGINE_API_KEY

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: FIDACY_ENGINE_API_KEY, FIDACY_OPERATOR_EMAIL, FIDACY_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": {
    "ai-agent-firewall": {
      "command": "npx",
      "args": [
        "-y",
        "@fidacy/mcp"
      ],
      "env": {
        "FIDACY_ENGINE_API_KEY": "your-value",
        "FIDACY_OPERATOR_EMAIL": "your-value",
        "FIDACY_MODE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add ai-agent-firewall --env FIDACY_ENGINE_API_KEY=your-value --env FIDACY_OPERATOR_EMAIL=your-value --env FIDACY_MODE=your-value -- npx -y @fidacy/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": {
    "ai-agent-firewall": {
      "command": "npx",
      "args": [
        "-y",
        "@fidacy/mcp"
      ],
      "env": {
        "FIDACY_ENGINE_API_KEY": "your-value",
        "FIDACY_OPERATOR_EMAIL": "your-value",
        "FIDACY_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": {
    "ai-agent-firewall": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@fidacy/mcp"
      ],
      "env": {
        "FIDACY_ENGINE_API_KEY": "your-value",
        "FIDACY_OPERATOR_EMAIL": "your-value",
        "FIDACY_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

  • FIDACY_ENGINE_API_KEY secret env
    Optional: enables signed trust verdicts (assess_action) and anchors session digests.
  • FIDACY_OPERATOR_EMAIL env
    Optional and opt-in: registers this install so the operator can claim its history.
  • FIDACY_MODE env
    Optional: 'http' for the hosted core.

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 against the domain fidacy.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 32708 servers in this category
  • Published to the registry more recently than 20% of the other 32708 servers in this category
  • Basic checks equal to or better than 100% of the other 32708 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 AI Agent Firewall 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?

You need to fill in: FIDACY_ENGINE_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 (0.7.1) 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, OpenTakeoff

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
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OpenTakeoff

by Kentucky-ai

Construction takeoff for AI agents: load plans, set scale, measure, count, export with provenance.

Runs on your computerUpdated today
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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.

@fidacy/mcp

The action firewall for AI agents. A drop-in MCP server that gates payment actions against a cryptographically signed mandate before money can move. Non-custodial: Fidacy authorizes and proves, it never holds funds.

Install once, works in any MCP-compatible agent: Claude Code, Claude Desktop, Hermes, OpenClaw, and anything else that speaks MCP.

Works with: Claude Code · Claude Desktop · OpenClaw · Hermes · Brex CrabTrap

Your agent could be paying scammers right now. Prompt-injected into the wrong

payee, an inflated amount, or the same invoice twice — and your logs aren't

evidence. Fidacy blocks it *before* money moves, and hands back a signed verdict

anyone can verify against public keys. You don't trust us — you check the signature.

Quick start (free, local-first, no account)

{

"mcpServers": { "fidacy": { "command": "npx", "args": ["-y", "@fidacy/mcp"] } } }

Runs on your machine, offline, deny-by-default. Add trusted payees + caps in ~/.fidacy/config.json. Verify any verdict yourself against the public keys at /.well-known/jwks.json.

Why

An agent can hallucinate or be prompt-injected into a payment: wrong payee, wrong amount, fabricated invoice. Prompt-level guardrails are probabilistic and bypassable. @fidacy/mcp is a deterministic gate between the agent's intent and the executor: the action is dead on arrival unless it validates against a signed mandate, and every decision lands in an immutable hash-chained audit trail.

Enforcement model

  1. Register @fidacy/mcp as the agent's only payment-capable tool. Do not give the agent a raw payment tool. Tool inventory is the runtime firewall.
  2. The agent calls request_payment. Fidacy checks it against the mandate (payee allowlist, per-tx cap, total cap, currency, time window, revocation).
  3. ALLOW returns a short-lived Ed25519 grant. DENY returns no grant and the violated rule. The downstream executor MUST require the grant, so a denied action cannot proceed.
  4. Every decision is appended to a hash-chained log. get_audit_proof returns the portable, verifiable proof.

One install, two backends

@fidacy/mcp ships two complementary capabilities in a single install:

  • Verdict layer (advisory): assess_action calls the live Fidacy engine and returns a signed trust verdict. It moves no money; it returns a judgment whose proof (riskPayloadJws + signingKeyId) is verifiable by anyone via @fidacy/verify against the engine JWKS at /.well-known/jwks.json.
  • Payment firewall (enforcement): request_payment / verify_mandate / get_audit_proof gate and prove a payment against a signed mandate through the core, returning short-lived Ed25519 grants.

Mental model: assess_action -> engine (signed verdict); request_payment and friends -> core (payment firewall).

Tools

ToolBackendPurpose
assess_actionengineSigned Fidacy trust verdict for a proposed action. Advisory.
request_paymentcoreAuthorize a payment action. ALLOW + grant, or DENY + rule.
verify_mandatecoreRead the mandate envelope + Fidacy public key.
get_audit_proofcoreHash-chained proof for a decision id.
assess_action

Returns a signed Fidacy trust verdict from the live engine for a proposed action. The signed proof is riskPayloadJws + signingKeyId, verifiable by anyone via @fidacy/verify against {engineUrl}/.well-known/jwks.json.

Inputs:

  • kind (optional, default ap2_payment): one of ap2_payment, message_send, voice_call, custom, claim_document.
  • mandate (required): the action/mandate object for that kind.
  • mandateType, spendingMandate, idempotencyKey, a2a.task_id (optional).

Environment:

VarDefaultPurpose
FIDACY_ENGINE_URLhttps://api.fidacy.comBase URL of the Fidacy engine.
FIDACY_ENGINE_API_KEY(none)An fky_live_ / fky_test_ key with scope assess:write.

The server boots without FIDACY_ENGINE_API_KEY; the tool is always registered. Only calling assess_action without the key returns a helpful error telling you to set it. The key is never logged, echoed, or attached to any error.

Install

npm install -g @fidacy/mcp   # or run via npx, no install
Claude Code
claude mcp add fidacy -- npx -y @fidacy/mcp
Claude Desktop (claude_desktop_config.json)
{

"mcpServers": { "fidacy": { "command": "npx", "args": ["-y", "@fidacy/mcp"] } } }

Hermes (config.yaml)
mcp_servers:

fidacy: command: npx args: ["-y", "@fidacy/mcp"]

OpenClaw

Add the same server via the Tools panel, or the mcpServers block in your agent config. Any MCP-compatible host uses the same command.

Wiring the real core (production)

The MCP layer talks to your core through one interface (FidacyCore). Your repository stays private. Set FIDACY_MODE=http and implement three endpoints:

  • POST /v1/mandate/get -> Mandate
  • POST /v1/decide -> Decision (runs your Ed25519/AP2 verification + audit append)
  • POST /v1/audit/proof -> AuditProof

No change to the MCP layer is needed.

Dev

npm install

npm run build npm start # stdio server, in-memory demo mandate

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