Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

MCP Audit

by archonicsversion 0.1.4i★ –iRuns on your computer
Registry nameio.github.archonics/mcp-audit

Install

Overview

Description from the maker (original English)

Free context-engineering audits for AI agents. BYOK Anthropic key. Top-3 findings per scan.

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: ANTHROPIC_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: ANTHROPIC_API_KEY

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": {
    "audit": {
      "command": "npx",
      "args": [
        "-y",
        "@archonics/mcp-audit"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add audit --env ANTHROPIC_API_KEY=your-value -- npx -y @archonics/mcp-audit

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": {
    "audit": {
      "command": "npx",
      "args": [
        "-y",
        "@archonics/mcp-audit"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "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": {
    "audit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@archonics/mcp-audit"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "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

  • ANTHROPIC_API_KEY secret required env
    Your Anthropic API key. Required — the audit engine calls Claude directly from your machine.

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 archonics, 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 32680 servers in this category
  • Published to the registry more recently than 7% of the other 32680 servers in this category
  • Basic checks equal to or better than 100% of the other 32680 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 MCP Audit 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: ANTHROPIC_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 (0.1.4) reached the registry 6 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, EmbeddedCI BenchPod

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

EmbeddedCI BenchPod

by embeddedci-com

Drive a BenchPod hardware-in-the-loop bench: power, flash, UART, I2C, CAN, analog and logic.

Runs on your computerUpdated 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.

Archonics MCP Audit Server

Free-tier context engineering audits for production AI agents, delivered as MCP tools you can call from Claude Desktop, Cursor, Claude Code, or any MCP-compatible client.

What you get: top-3 findings on your system prompts, tool definitions, or context packing, on demand, no account needed.

What it costs: nothing. The free scan is genuinely free. Upgrade paths to the $49 Instant Audit and $750 Full Audit are surfaced in the response footer; they're not paywalls on this tool.

Why this exists

Most production agent failures aren't model failures — they're context engineering failures. Ambiguous instructions, underspecified tools, bloated context, no regression tests on prompt changes. Those problems are spottable by a trained reader. Archonics has trained that reader and published it as an MCP tool so you can get a second opinion on your agent's context without filing a support ticket.

The underlying audit engine applies Archonics Audit Methodology v1.0, the same spec that drives our paid audits.

Tools

audit_system_prompt

Paste a system prompt. Get back the three most important context engineering issues in it, ranked by severity, with specific recommendations.

Covers: role clarity, instruction conflicts, negative space, priority structure when instructions conflict, token efficiency, format specification precision, failure-mode coverage.

audit_tool_definition

Paste a tool/function definition. Get back the three most important issues affecting how reliably the model will call it.

Covers: description quality (the "when to use this tool" question), parameter schema precision, parameter documentation, error response design, discoverability.

audit_context_packing

Paste a representative context payload (or describe it structurally). Get back the three most important efficiency and quality issues.

Covers: content inventory, redundancy across sections, freshness/relevance, ordering, truncation risk, prompt-cache utilization.

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{

"mcpServers": { "archonics-audit": { "command": "npx", "args": ["-y", "@archonics/mcp-audit"], "env": { "ANTHROPIC_API_KEY": "your-anthropic-api-key-here" } } } }

Cursor

Add to your .cursor/mcp.json:

{

"mcpServers": { "archonics-audit": { "command": "npx", "args": ["-y", "@archonics/mcp-audit"], "env": { "ANTHROPIC_API_KEY": "your-anthropic-api-key-here" } } } }

Claude Code
claude mcp add archonics-audit npx -y @archonics/mcp-audit

Then set ANTHROPIC_API_KEY in your environment.

Why does it need my Anthropic API key?

The audit engine runs on Claude. You bring your own API key so:

  1. Audit submissions go directly from your machine to Anthropic's API, never through Archonics servers.
  2. Your costs are transparent — a typical audit uses 2,000–4,000 tokens, well under a penny.
  3. There's no "free but actually limited" rate-limit surprise. Your API key, your limits.

If you'd rather not bring your own key, use the $49 Instant Audit at agent.market — we cover the API costs and return a full-methodology audit PDF.

Privacy

Submitted content is processed ephemerally. No prospect content is retained on Archonics infrastructure or used to train any model. The API call pattern is: your client → your Anthropic API key → Anthropic → your client. Archonics servers are not in this path.

Aggregated, anonymized patterns across many audits may inform improvements to the methodology — "18 of 20 audited systems lacked prompt-regression tests" — but specific content never feeds that process.

Details: archonics.ai/privacy

Upgrade paths

If the free scan surfaces issues worth fixing, two paid tiers go deeper:

  • Instant Audit — $49 USDC via x402. Full methodology applied programmatically to a system you submit. 5-10 page PDF report covering all four dimensions (prompt, tools, context, eval) rather than just three findings in one dimension. Listed at agent.market/archonics.
  • Full Audit — $750. Human-reviewed audit of a complete agent system. 15-25 page report tuned to your team's context. Contact audits@archonics.ai.

Contact

License

MIT. Use it, fork it, audit yourself.

Ask PopNx