Robin: AI-Powered Dark Web OSINT
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.
使っているAIアプリを選んで、設定をコピーしてください。
チェック 3/3 合格 · あなたのパソコンで動きます
まず:どの AI を使っていますか?
使っているアプリを選ぶと、下に手順が表示されます。
Claude につなげますが、先に準備が必要です
キー不要、インストール不要 · パソコン版 Claude アプリ(Windows または Mac)のみ。Web やスマホでは使えません
Draugr を使って、私に何ができるか教えて、1 つやってみせて✓ Claude が Draugr を使っていると言うか、回答に Draugr のツール名が出れば接続成功です
メニュー名は 2026年11月11日 に Anthropic のヘルプページで確認 · アプリのバージョンにより画面が少し違うことがあります
ChatGPT はまだ Draugr につなげません
Draugr はパソコンに入れて使うものですが、ChatGPT は Web 上で動くサーバーにしかつなげません
A · Draugr につなげるアプリを使う
B · サイバーセキュリティ の中で ChatGPT につなげる別のサーバー
同じカテゴリでよく使われているものから、キーなしでアドレスだけでつなげるものを選びました
Claude Code はまだ Draugr につなげません
提供元はパソコン版 Claude アプリ用のインストールファイルしか用意していません
A · Draugr につなげるアプリを使う
Cursor はまだ Draugr につなげません
提供元はパソコン版 Claude アプリ用のインストールファイルしか用意していません
A · Draugr につなげるアプリを使う
VS Code はまだ Draugr につなげません
提供元はパソコン版 Claude アプリ用のインストールファイルしか用意していません
A · Draugr につなげるアプリを使う
mcpb: …/draugr-0.175.0.mcpbこのサーバーのつなぎ方と、各アプリの公式ドキュメントに基づきます。2026年11月10日に確認。
パソコン上で動かせるアプリ
ClaudeGooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月14日にチェック
レジストリ名はドメイン draugr.dev で確認済みです(レジストリがドメインの所有を確認しています)
コードの最終更新:昨日
Apache-2.0を使用
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
質問、コツの共有、使えないことの報告ができます。「役に立った」の多い順です。
まだレビューはありません
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は昨日、最新バージョン(0.175.0)がレジストリに届いたのは昨日です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにMCPBも必要です。
同じカテゴリには:Robin: AI-Powered Dark Web OSINT, HOL Guard, SonarQube MCP Server
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
Analyze code quality and security with SonarQube Server or Cloud directly in AI assistants.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
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.
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:
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.
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.
| Control | Looks for | By default |
|---|---|---|
sca | known flaws in the libraries you depend on | Trivy, Grype and Mend opt-in |
secrets | passwords and keys committed by accident, history included | Gitleaks |
sast | patterns in the code you wrote that let somebody in | Semgrep, gosec opt-in for Go |
iac | settings that leave a door open, in Terraform, Kubernetes and Dockerfiles | Trivy |
images | what is baked into your container images | Trivy, Grype opt-in |
licenses | terms attached to code you did not write | Trivy |
dast | problems only visible from outside a running app | Nuclei, authenticated, and from an OpenAPI spec |
headers | how your site answers a browser | native |
tls | certificates and encryption | native |
kubernetes | your Kubernetes cluster, against the CIS benchmarks | native, kube-bench opt-in |
cloud | your cloud account as it is, against the CIS benchmarks | Prowler |
threats | whether anything you talk to is on a public blocklist | abuse.ch URLhaus |
provenance | whether an image is signed by the builder you expect | Sigstore 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.
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:
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 index →](docs/README.md)
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.
A security tool should hold itself to what it checks. Draugr does:
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).