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

Vector Store Scanner

by GuardBeeversion 0.3.1i★ –iRuns on your computer
Registry nameio.github.GuardBee/vector-store-scanner

Install

Overview

Description from the maker (original English)

Probes vector-database endpoints for unauthenticated exposure of embeddings/RAG data

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: Search & AI memory

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": {
    "vector-store-scanner": {
      "command": "npx",
      "args": [
        "-y",
        "@guardbee/mcp-vector-store-scanner"
      ]
    }
  }
}

Run this in your terminal

claude mcp add vector-store-scanner -- npx -y @guardbee/mcp-vector-store-scanner

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "vector-store-scanner": {
      "command": "npx",
      "args": [
        "-y",
        "@guardbee/mcp-vector-store-scanner"
      ]
    }
  }
}

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": {
    "vector-store-scanner": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@guardbee/mcp-vector-store-scanner"
      ]
    }
  }
}

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 GuardBee, 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 Search & AI memoryi

  • More stars than 0% of the other 7231 servers in this category
  • Published to the registry more recently than 84% of the other 7231 servers in this category
  • Basic checks equal to or better than 100% of the other 7231 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 Vector Store Scanner 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 (0.3.1) reached the registry 7 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 on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated 3 days ago
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 20 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 44 days ago
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.

@guardbee/mcp-vector-store-scanner

🇬🇧 English | 🇹🇷 Türkçe | 🇨🇳 中文 | 🇯🇵 日本語 | 🇰🇷 한국어 | 🇧🇷 Português | 🇪🇸 Español | 🇩🇪 Deutsch

An MCP (Model Context Protocol) server that probes a vector-database (or vector-index-capable) endpoint for unauthenticated exposure — the same class of misconfiguration behind repeated real-world incidents of open Elasticsearch/MongoDB/Redis instances leaking data, now aimed at the RAG-era stack: Weaviate, Qdrant, Chroma, Elasticsearch/OpenSearch, Redis, and Postgres/pgvector.

Every RAG pipeline's embeddings live somewhere. If that vector store is reachable on the network without authentication, anyone who finds it can read (and often write) every document your retrieval pipeline was ever given — including anything sensitive that made it into a chunk.

Telemetry is off by default. With GUARDBEE_TELEMETRY=1 it sends the server, tool, success, duration and short parameter values such as a file path; longer strings and fields like content, token or password are replaced with a placeholder. See @guardbee/mcp-telemetry.

Claude ──► vector-store-scanner ──► Your vector-store endpoint

│ ├─ weaviate / qdrant / chroma / elasticsearch (HTTP fingerprint) │ info ──► schema/collections ──► actual stored data ├─ redis (raw RESP: PING, no AUTH sent) └─ postgres (raw wire protocol: SSLRequest + StartupMessage, no password sent)


How it escalates

Each HTTP-based probe doesn't stop at "is this thing up" — it walks the same path an attacker would, in increasing order of impact, and only reports what actually succeeded:

  1. Instance info (medium) — version/build details readable without auth. Low impact alone, but confirms the service is exposed and helps fingerprint known CVEs.
  2. Schema / collection listing (high) — class or collection names readable without auth. Reveals your data model even before any real data is read.
  3. Actual stored data (critical) — a real object/point/document comes back without auth. This is the finding that matters: your embeddings (and whatever they were built from) are readable by anyone who can reach this port.

Redis and Postgres get the same treatment via their native wire protocols instead of HTTP — a PING (Redis) or a StartupMessage (Postgres) is enough to learn whether authentication is enforced, without ever sending a real password. No credential is ever guessed, brute-forced, or sent — every check here is read-only fingerprinting, the same category of probing dns-intelligence and ssl-inspector already do elsewhere in this monorepo.


Features

  • 6 target types: Weaviate, Qdrant, Chroma, Elasticsearch/OpenSearch (HTTP), Redis (raw RESP), Postgres/pgvector (raw wire protocol)
  • Auto-detection — fingerprints the endpoint by trying each known type in turn when type isn't specified
  • From-scratch protocol implementations for Redis and Postgres — no client library dependency, no real credentials ever sent, includes a TLS-upgrade path for Postgres's SSLRequest handshake
  • Escalating checks (info → schema → data) so a "critical" finding always means real data was actually read, not just that a port responded
  • SARIF 2.1.0 output — CI/CD integration (GitHub Code Scanning, etc.)
  • Config file support via guardbee.yml
  • 22 unit tests against local mock HTTP/TCP servers, covering every probe's matched/unmatched fingerprint and each escalation level

Quick Start

Claude Desktop / MCP Client
{

"mcpServers": { "guardbee-vector-store-scanner": { "command": "npx", "args": ["-y", "@guardbee/mcp-vector-store-scanner"] } } }

CLI (CI/CD)
npx @guardbee/mcp-vector-store-scanner scan my-qdrant.internal --type=qdrant --fail-on=high --format=sarif > results.sarif

MCP Tools

ToolDescription
scan_endpointProbes a single host/port for unauthenticated exposure
list_patternsLists the supported store types and what each check looks for

What it catches

StoreCheckSeverity
Weaviate/v1/meta readable without authmedium
Weaviate/v1/schema readable without auth — reveals class nameshigh
Weaviate/v1/objects returns real data without authcritical
Qdrant/ instance info readable without authmedium
Qdrant/collections readable without authhigh
Qdrant/collections/ /points/scroll returns real data without authcritical
Chromaheartbeat reachable without authmedium
Chroma/collections readable without authhigh
Elasticsearch/OpenSearchcluster info readable without authmedium
Elasticsearch/OpenSearch/_cat/indices readable without authhigh
Elasticsearch/OpenSearch/ /_search returns real documents without authcritical
RedisPING accepted without AUTHcritical
Postgres/pgvectorno TLS offeredmedium
Postgres/pgvectorAuthenticationOk with no password challengecritical

Configuration (guardbee.yml)

vector-store-scanner:

fail-on: high # any | critical | high | medium | low | none timeout-ms: 4000


Limitations (by design)

  • Chroma's actual-document read isn't checked — its data-read API varies significantly across versions, so this scanner stops at the collection-listing level for it (still enough to detect the primary "no auth at all" misconfiguration).
  • Milvus isn't supported — its primary API is gRPC, which doesn't fingerprint via a lightweight probe the way the others do.
  • This checks for unauthenticated read access, not authorization bugs behind a working auth layer (e.g. a valid-but-overprivileged API key) — that's out of scope for an external, credential-less probe.

Development

npm run build

npm test # 22 unit tests


License

MIT — GuardBee

Feedback

Questions, ideas, or a false positive? Start a thread in GitHub Discussions or open an issue. If GuardBee is useful to you, a ⭐ on the repository helps others find it.

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