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

Draugr

by draugr-devversion 0.178.0i★ 29iRuns on your computer
Registry namedev.draugr/draugr

How to install

What it does

Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Cybersecurity

Install

Pick the AI app you use, then copy the settings.

Passed 3/3 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Download the maker’s installer

    Download the maker’s .mcpb file

    The .mcpb file comes straight from the maker; we do not change it

  2. Double-click the file, then click Install in the Claude desktop app

  3. Try it

    Use Draugr and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Draugr or shows a Draugr tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Draugr yet

Draugr runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Draugr

  • No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone

B · Others in Cybersecurity that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Claude Code cannot connect Draugr yet

The maker only provides an installer for the Claude desktop app

What you can do instead

A · Use an app that can connect Draugr

  • No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone

Cursor cannot connect Draugr yet

The maker only provides an installer for the Claude desktop app

What you can do instead

A · Use an app that can connect Draugr

  • No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone

VS Code cannot connect Draugr yet

The maker only provides an installer for the Claude desktop app

What you can do instead

A · Use an app that can connect Draugr

  • No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Draugr💬 Discussion →

At a glance

Downloads per weeki
Not on npm/PyPI
Verified domain
✓ draugr.dev
Licencei
Apache-2.0
Connection
Runs on your computer
Latest versioni
0.178.0
Published to registryi
Nov 15, 2026
Code last changedi
Nov 15, 2026
Maker
draugr-dev
Packages
mcpb: …/draugr-0.178.0.mcpb
Website
draugr.dev
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

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 16, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain draugr.dev (the registry checks domain ownership)

  • ✓ Pass

    Still maintained

    Code last changed yesterday

  • ✓ Pass

    Has a licence

    Uses Apache-2.0

  • – 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

Published vulnerabilities (OSV.dev)

Not checked: only npm and PyPI packages with a version can be checked

What we check → · JSON

Makers: ask for a re-check or report wrong info

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

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Compared with others in Cybersecurityi

  • More stars than 95% of the other 1067 servers in this category
  • Published to the registry more recently than 98% of the other 1067 servers in this category
  • Basic checks equal to or better than 100% of the other 1067 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 Draugr safe?

It passed 3 of 3 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 yesterday, and the latest version (0.178.0) reached the registry yesterday.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need MCPB on your computer.

What can I use instead?

In the same category: GitHits, Dependency Management MCP Server, Snyk MCP, Spotdb, EchelonGraph CVE & Exposure

Similar alternatives

Same category, other makers, commands already checked. Official ones first, then by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

GitHits

Search public open-source code, documentation, metadata, vulnerabilities, changelogs, and examples.

by githits-comGrowing↓ 3.8K/wk★ 136Updated 7 days ago

Computer or cloud✓ service owner · githits.com

Snyk MCP

Easily find and fix security issues in your applications leveraging Snyk platform capabilities.

by snykWidely used↓ 762.1K/wk★ 62Updated 6 months ago

Runs on your computer✓ service owner · snyk.io

Spotdb

Ephemeral data sandbox for AI workflows with guardrails and security

by aliengiraffeEarly★ 21Updated 13 months ago

Runs on your computer✓ aliengiraffe.ai

EchelonGraph CVE & Exposure

CVE, KEV, EPSS, SBOM and advisory lookups; per-CVE exposure from Shodan data (© Shodan). Keyless.

by echelongraphGrowing↓ 3.8K/wk★ 21Updated yesterday

Computer or cloud✓ service owner · echelongraph.io

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.

Draugr

Know which security findings to fix first, across the scanners you already run. SAST, SCA, secrets, IaC and containers, every finding ranked by exposure, criticality, exploitability and, for Go, reachability.

Describe your app in one file, and Draugr hands back the findings in the order to fix them.

Every application carries problems nobody put there on purpose: a library that turned out to have a hole in it, a password committed by accident, a server setting that leaves a door open. Draugr finds them, works out which ones actually matter for *your* app, and answers the question you are really asking before a release, is this safe to ship?

It runs the established open-source scanners for you, Trivy, Semgrep, Gitleaks and others, so there is nothing to choose between, wire up, or read five of. You describe what you built, once, in one file: where the repositories are, what images it builds, what it exposes, what infrastructure it runs on. Draugr picks the checks that apply, runs the right tool for each, and produces evidence you can hand to somebody else. Bring the scanners you already pay for, or use the open-source defaults.

Findings are ranked, not listed. A scanner's "critical" describes a flaw in the abstract, how bad it could be at its worst, anywhere. The same flaw is act-now in the service strangers can reach and backlog in the internal tool three people use, and no scanner can tell those apart because the difference is in the file you wrote, not in the code. And draugr diff gates a pull request on new findings only, so inheriting two hundred existing ones does not block every change.

[Quickstart](#quickstart) · See it in action · What it checks · In your pipeline · Documentation · What Draugr doesn't promise · Security

See it in action

Priority (P1–P4) is not severity. Severity says how bad a flaw is at its worst, anywhere. Priority weighs that against how exposed and how important the part of your app it sits in is, which no scanner can work out, because it is not in the code.

[draugr-dev/draugr-demo](https://github.com/draugr-dev/draugr-demo) is a deliberately vulnerable app wired to Draugr: every control lights up, findings land in the repo's Security → Code scanning tab, and its example pull requests show the new-vs-fixed diff.

Quickstart

curl -fsSL https://draugr.dev/install.sh | sh

Installs to ~/.local/bin, no sudo, and installs nothing if the archive fails verification. The script is readable in the repo; a download by hand, the GitHub CLI and go install are in the install guide.

draugr init            # describe this project in a draugr.saga.yaml

draugr tools install # fetch the scanners it needs, pinned and verified draugr scan # scan what the descriptor describes

tools install takes its answer from the descriptor beside it, so a small service gets three scanners rather than every one Draugr can provision. --all when you are preparing a machine for several projects.

Then describe what you actually ship:

project: my-app

release: version: "1.0" config: controls: images: enabled: true components:

  • name: web images:
  • image: alpine:3.19
draugr scan draugr.saga.yaml            # console summary; exits non-zero on fail

draugr scan draugr.saga.yaml -o out/ # also writes report.json + results.sarif draugr scan draugr.saga.yaml --format markdown # or html, junit, json, sarif

Your editor already knows this file. Draugr's JSON Schema is registered with SchemaStore, so any *.saga.yaml gets completion, hover docs and typo warnings on open with nothing to configure.

Or let discovery write the descriptor for you:

draugr survey github repos --org my-org -o draugr.saga.yaml

draugr survey k8s images --namespace prod -o draugr.saga.yaml

Full walkthrough: quickstart.

Setting it up on a real repository? Reply to the pinned discussion with what the repository is and which scanners you run, and we'll write the descriptor with you, including the exposure and criticality that take judgment.

What it checks

Each control is backed by a tool Draugr executes rather than bundles, so every scanner stays under its own license, and you can swap it.

ControlLooks forBy default
scaknown flaws in the libraries you depend onTrivy, Grype and Mend opt-in
secretspasswords and keys committed by accident, history includedGitleaks
sastpatterns in the code you wrote that let somebody inSemgrep, gosec opt-in for Go
iacsettings that leave a door open, in Terraform, Kubernetes and DockerfilesTrivy
imageswhat is baked into your container imagesTrivy, Grype opt-in
licensesterms attached to code you did not writeTrivy
dastproblems only visible from outside a running appNuclei, authenticated, and from an OpenAPI spec
headershow your site answers a browsernative
tlscertificates and encryptionnative
kubernetesyour Kubernetes cluster, against the CIS benchmarksnative, kube-bench opt-in
cloudyour cloud account as it is, against the CIS benchmarksProwler
threatswhether anything you talk to is on a public blocklistabuse.ch URLhaus
provenancewhether an image is signed by the builder you expectSigstore cosign

Every scanner, what it sends and whose terms it carries: integrations catalog.

Alongside them: content-hash caching, an SBOM per repository and image, KEV/EPSS enrichment, per-control gate thresholds, and suppressions that stay in the report with the reason someone gave rather than disappearing.

In your pipeline

The first-party GitHub Action installs Draugr, and with tools: true the scanners the descriptor needs. On a pull request it compares the head with the base, posts the findings the change adds and fixes as one comment, and fails on a new P1 finding. On a push to main it runs the full scan, fails on any P1 finding, and sends every finding to the Security tab as one Draugr tool.

name: Security

on: push: branches: [main] pull_request: permissions: contents: read pull-requests: write # the pull-request comment security-events: write # the Security tab, on a push jobs: draugr: runs-on: ubuntu-latest steps:

  • uses: actions/checkout@v4 with: fetch-depth: 0 # the comparison needs the base commit
  • id: draugr uses: draugr-dev/draugr@v0 # pin @vX.Y.Z for reproducible CI with: saga: draugr.saga.yaml tools: true # provision the scanners the controls need fail-on-new: P1 # fail a pull request on a new P1 finding
  • if: always() && github.event_name == 'push' # even when the gate fails uses: github/codeql-action/upload-sarif@v3 with: sarif_file: ${{ steps.draugr.outputs.sarif }}

Save it as .github/workflows/draugr.yml and commit it with the draugr.saga.yaml that draugr init wrote. The upload needs code scanning, which public repositories have and private ones get with GitHub Advanced Security; without it, delete the last step. To block a merge on a failing run, make the draugr check a required status check in the branch's protection rule or ruleset.

GitHub Actions · Code scanning: findings in the Security tab · GitLab: an include, GitLab's own report formats, a sticky merge-request comment · Azure Pipelines: a step template

From an AI coding assistant. Ask one to check a change and it will, using whatever scanner it finds over a scope it chose. draugr mcp serves Draugr over the Model Context Protocol so it reads your *committed* descriptor instead. A scan that does more than read the checkout, such as probing a live host or sending data to a third party, asks you first.

claude mcp add draugr -- draugr mcp

See use Draugr from an AI coding assistant.

Documentation

[Documentation index →](docs/README.md)

What Draugr doesn't promise

A passing verdict means the controls you configured found nothing they were looking for. It is not a statement that your software is secure. It is silent about anything your descriptor does not declare, controls you did not enable, and whatever the underlying scanners miss. License findings are information, not legal advice. Draugr is provided under Apache-2.0 without warranty.

The details, including whose terms the scanners carry and your responsibility for authorization when scanning live endpoints: scope and disclaimer.

Security & supply chain

A security tool should hold itself to what it checks. Draugr does:

  • Standard output. Every finding is normalized to SARIF 2.1.0 (OASIS), so results flow into GitHub / GitLab / Azure DevOps code scanning and any SARIF-aware tool.
  • Signed releases and provenance. Release archives' checksums.txt is keyless-signed with cosign (Sigstore) into a checksums.txt.sigstore.json bundle, and each release publishes SLSA build-provenance attestations (gh attestation verify …); verify before installing (recipe).
  • SBOMs. A Syft SBOM is published for every release archive.
  • **Verified

Only the beginning is shown; read the rest in the repo