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Mcpaudit

by CloudCorpRecordsversion 0.1.2i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/mcpaudit

Install

Overview

Description from the maker (original English)

Audit any MCP server: handshake, schemas, descriptions, error handling, scored.

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": {
    "mcpaudit": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/mcpaudit",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add mcpaudit -- npx -y @reneturcios/mcpaudit mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "mcpaudit": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/mcpaudit",
        "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": {
    "mcpaudit": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/mcpaudit",
        "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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 32466 servers in this category
  • Published to the registry more recently than 75% of the other 32466 servers in this category
  • Basic checks equal to or better than 100% of the other 32466 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 Mcpaudit 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 (0.1.2) 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 Node.js, Docker on your computer.

What can I use instead?

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

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 yesterday
Install

HotCodePush

by hotcodepush-team

Manage over-the-air (OTA) updates for React Native, Expo, Capacitor and Cordova apps.

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.

mcpaudit

Point it at any MCP server. Get a score, and the receipts.

The MCP Registry is filling up with servers nobody has ever audited. A server can list tools with no descriptions (so models never call them correctly), schemas that contradict themselves (required fields that don't exist), or — the dangerous one — cheerfully return success when you call a tool that doesn't exist. None of that shows up until a user's agent does something weird in production.

mcpaudit launches the server the way a real client does, runs the full handshake, inspects every tool, deliberately makes a bad call, and prints one scored report with named, evidence-backed issues. No LLM anywhere in the audit: every check is deterministic and repeatable.

What it checks

checkwhat it proves
handshakeThe server completes initialize — and how long it took
protocol versionThe negotiated version is present and one this build knows
server infoserverInfo.name and serverInfo.version are present
tool namesPresent, unique, and inside the MCP character/length guidance
descriptionsEvery tool described, in more than a token gesture, not just its own name repeated
input schemasPresent, an object schema, valid properties, required fields that actually exist
parameter docsTools whose parameters are *all* undescribed get flagged — models guess semantics from descriptions
error handlingA call to a nonexistent tool returns a proper error, fast, without killing the server
prompts / resourcesA server with no tools is not failed for it: when it advertises prompts/resources, mcpaudit lists them and audits it as what it is

Scoring: start at 100, each error costs 8, each warning costs 3. Verdicts: PASS (clean), WARN (works, but the issues will cost it users or correctness), FAIL (error-severity issues), UNREACHABLE (the handshake never completed — reported with the launch error, never a guessed score).

mcpaudit audits stdio servers. Remote (HTTP) servers — config entries with a url, or a URL passed as the command — are reported as UNREACHABLE with that explanation, never silently skipped and never spawned.

New in 0.1.1, from the first real-production validation battery (25+ external servers, three runs each, findings hand-checked against raw ground truth): server arguments starting with -- pass through verbatim (see Usage), prompt/resource-only servers pass, the default per-step timeout is 60s so npx/uvx cold starts are not mistaken for dead servers, and --json always emits one parseable document.

Usage

CLI
# Audit a server by its launch command

npx @reneturcios/mcpaudit audit npx -y @reneturcios/shipcheck mcp npx @reneturcios/mcpaudit audit node dist/cli.js mcp

Audit every server in an MCP client config (or one named entry)

npx @reneturcios/mcpaudit audit --config ~/.claude/claude_desktop_config.json npx @reneturcios/mcpaudit audit --config ./mcp.json --server greenlight

Server arguments that start with -- pass through untouched

npx @reneturcios/mcpaudit audit uvx mcp-server-git --repository /path/to/repo

Use a literal -- to force everything after it into the server command

(even flags that share a name with mcpaudit's own, like --timeout)

npx @reneturcios/mcpaudit audit node server.js -- --timeout 5000

Quoted command line, machine-readable output, custom timeout

npx @reneturcios/mcpaudit audit --cmdline "npx -y @scope/pkg mcp" --json --timeout 30000

Offline: validate a tools/list dump without launching anything

npx @reneturcios/mcpaudit tools tools.json

Example output:

mcpaudit npx -y @reneturcios/shipcheck mcp: PASS (score 100/100, grade A)

server: shipcheck 0.1.0 · protocol 2025-11-25 · 3 tool(s) · initialize 1813ms · tools/list 16ms error handling: bad tool call returned a proper error No issues found. PASS: handshake, schemas, and error handling all check out.

(That is a real run, from the first MCP Server Index seed, 2026-10-22. Initialize time is measured from spawn and includes npx cold-start overhead, and the report says so. A slow initialize is only scored when the server itself is slow once running: if tools/list answers within 5s, a 30s+ initialize is reported as unscored launch path evidence, because that time went to the launcher or to first-run downloads.)

Exit codes: 0 for PASS/WARN, 1 for FAIL/UNREACHABLE, 2 for usage errors — CI-ready.

MCP server

Add to your MCP client config:

{

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

Tools:

  • audit_server: launch and audit one server from a command + args (+ optional env, timeout).
  • audit_config: audit every server in a config file, or one named entry.
  • audit_tools: offline validation of a tools/list array.
Docker
docker run -i ghcr.io/cloudcorprecords/mcpaudit mcp

docker run --rm ghcr.io/cloudcorprecords/mcpaudit audit node server.js mcp

The MCP Server Index

mcpaudit is the engine behind a growing public dataset, the MCP Server Index: scored audits of real, published MCP servers, run with the published binary and refreshed as servers ship. The seed — the author's own tool family, audited first because you audit yourself before you audit anyone else — lives in the 100-packages workspace and grows with every wave.

The toolkit

mcpaudit is Wave 1, package 4 of a planned family of small, single-purpose developer tools by the same author, all built the same way: one bin that serves a CLI and an MCP server, deterministic checks with evidence, no invented answers.

  • greenlight: pre-flight checks for open-source contributions: is this issue actually landable?
  • shipcheck: release verification — git tag, GitHub release, npm, MCP Registry, and GHCR must all agree, or NO-GO.
  • cidiff: base-vs-head CI differ for PRs.
  • reprocheck: red-first repro verifier.
  • prwatch: attention report for your open PRs.
  • claimcheck: stale-claim states and parked fixes on forks.
  • gatefile: extract hidden contribution gates into machine-readable contribution-gates.json.
  • pkgverdict: pre-install verdicts for npm packages: GO, RISKY, FAKE, or MISSING.

Development

npm install

npm run build npm test # validator/scoring unit tests + live probes against fixture servers

License

MIT

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