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

Agentscore

by Thezenmonsterversion 2.2.0i★ –iRuns on your computer
Registry nameio.github.Thezenmonster/agentscore

Install

Overview

Description from the maker (original English)

MCP security trust layer: scan packages, inspect repos, check exposure, monitor changes.

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": {
    "agentscore": {
      "command": "npx",
      "args": [
        "-y",
        "@agentscore-xyz/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add agentscore -- npx -y @agentscore-xyz/mcp-server

Open in Cursor

Or copy the settings yourself

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

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

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": {
    "agentscore": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@agentscore-xyz/mcp-server"
      ]
    }
  }
}

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 Thezenmonster, 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 32564 servers in this category
  • Published to the registry more recently than 7% of the other 32564 servers in this category
  • Basic checks equal to or better than 100% of the other 32564 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 Agentscore 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 (2.2.0) reached the registry 7 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, Tools MCP

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
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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
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Tools MCP

by First-CH

Web production tools for AI agents: contrast, JP text, WebP, JSON-LD, slugs, dates and 40+ more

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.

@agentscore-xyz/mcp-server

MCP security trust layer. Scan packages, get trust verdicts, inspect repo-wide MCP dependencies, generate Policy Gate setup, install the CI workflow directly, check incident exposure, and query the abuse database. Eight tools for MCP security decisions. No API key, zero config.

Scan any MCP package for security issues: agentscores.xyz

Quick Start

Claude Desktop

Add to your claude_desktop_config.json:

{

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

Cursor / Any MCP Client
npx @agentscore-xyz/mcp-server

What This Does

Your AI can now make security decisions about MCP packages:

You: "Is exa-mcp-server safe to install?"

Claude: *calls get_verdict* "Verdict: ALLOW. Score 90/100, LOW risk. No provenance attestations (published by personal account). 9 tools exposed including web_search_exa and crawling_exa."

You: "The axios package was compromised. Which MCP servers are affected?"

Claude: *calls check_exposure* "Multiple monitored MCP servers depend on axios, including exa-mcp-server, tavily-mcp, and figma-mcp."

You: "Scan @azure-devops/mcp for security issues"

Claude: *calls scan_package* "Score 75/100, MODERATE risk. Found: preinstall script modifying npm registry config. No provenance attestations."

You: "Check this repo for MCP dependencies"

Claude: *calls check_my_repo* "MCP dependencies found: 5. Two are warnings. Run generate_policy_gate_setup to turn these checks into a CI gate."

You: "Set up AgentScore Policy Gate for this repo"

Claude: *calls install_policy_gate* "The workflow file is written to .github/workflows/agentscore-policy-gate.yml. Commit and push. GitHub OIDC will auto-provision the repo on first run."

Available Tools

ToolWhat it does
scan_packageFull security scan: install scripts, prompt injection, source code patterns, provenance posture, MCP tool extraction
get_verdictTrust decision: allow, warn, or block based on scan findings. Also reports monitoring status and publisher posture.
check_my_repoInspect the current repo for MCP dependencies and summarise verdicts for every package detected locally.
generate_policy_gate_setupGenerate the exact OIDC-based GitHub Actions workflow needed to enforce Policy Gate in CI.
install_policy_gateWrite .github/workflows/agentscore-policy-gate.yml directly into the repo so the gate is ready to commit.
check_exposureIncident response: which monitored MCP servers depend on a given package?
check_abuseQuery the KYA abuse database for reported packages or agents
monitor_statusCheck if a package is under continuous monitoring and get scan history

From Ad-Hoc Scans To CI Enforcement

The MCP server now bridges one-off package checks into the sticky product:

  1. Run check_my_repo to see every MCP package used in a repo.
  2. Run generate_policy_gate_setup to preview the OIDC-based GitHub Actions workflow.
  3. Run install_policy_gate to write the workflow file directly into the repo.
  4. Commit and push. The first run auto-provisions through GitHub OIDC.

That turns "is this package safe?" into "this repo now enforces MCP dependency policy on every PR."

Risk Levels

ScoreRiskMeaning
85-100LOWClean or minor issues only
70-84MODERATESome findings, review recommended
50-69ELEVATEDSignificant findings, use with caution
30-49HIGHSerious issues, not recommended
0-29CRITICALDo not use

What the Scanner Checks

  • Install scripts (postinstall/preinstall hooks with network calls or code execution)
  • Prompt injection patterns in package metadata
  • Suspicious URLs (sketchy TLDs, ngrok, raw IPs)
  • Source code patterns (command injection, unsafe eval, hardcoded secrets)
  • Publisher provenance (trusted publishing, attestations)
  • Dependency count and metadata completeness
  • MCP tool definitions extracted from published source

Monitoring

AgentScore continuously monitors hundreds of MCP packages. The check_exposure and monitor_status tools use this live dataset. When a package like axios gets compromised, you can instantly find which MCP servers are affected.

Links

Licence

MIT

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