Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者による説明(英語の原文)
Security tools for coding agents: dependency advisory audits and evidence for remediation.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
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。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
ウェブ、デスクトップ、モバイルのClaudeで使えます:
https://offense.sh/mcpターミナルでこれを実行します
claude mcp add --transport http offense https://offense.sh/mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"offense": {
"url": "https://offense.sh/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"offense": {
"type": "http",
"url": "https://offense.sh/mcp"
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
ChatGPTがつなげるのは、インターネット上のサーバーだけです:
https://offense.sh/mcpメニューの名前は、プランや時期によって少し違うことがあります。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
このサーバーのツール一覧はまだ読み取っていません。エンドポイントは順番にチェックしています。
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6日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント offense-research で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントは順番にチェックしています
まだチェックしていません。エンドポイントをチェックするときにツール一覧を読み取ります
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1項目のうち1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。
作者のクラウドで動きます。インストール不要でインターネット経由でつながりますが、送った内容は作者のサーバーを通ります。
GitHubリポジトリの最終更新は–、最新バージョン(0.7.0)がレジストリに届いたのは6 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。
同じカテゴリには:Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
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:★ 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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
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。
Security tools your AI agent can discover, call and verify.
Offense is a product by [Offense Research, Inc.](https://offenseresearch.com). Open-source software, optional paid hosting.
Give Pi, OMP, Hermes, Codex, Claude Code, Crush or another coding agent the tools to audit dependencies, inspect source and workflows, and test a proposed fix. Offense returns structured security evidence through CLI, MCP and HTTP. Your agent reads that evidence, investigates your code, makes authorized changes and runs your tests—with its existing model, repository access and permissions.
Open-source repository · Discord · Hosted service · Self-hosting · Contributing · Report a vulnerability
Start here: Give this to your agent · Add with a PR · Recipes · Install the CLI · Agent installation · Choose a mode · Local quick start · MCP setup · Self-hosted platform · Documentation · Troubleshooting · Community
Enter your GitHub repository and base branch. The installer opens GitHub's prefilled workflow editor; review the file, choose Create a new branch, then open a pull request. No Offense account, API key or GitHub token is required. Offense prepares the link; you create and approve the PR on GitHub.
The starter adds free npm/pnpm dependency audits on pull requests using pinned, read-only GitHub Actions. It never installs or runs your app, edits code or calls paid Offense tools. Dependency metadata goes to OSV/npm; reports are retained as GitHub artifacts for seven days. Advisories are report-only; coverage warnings and scan errors fail the check. GitHub Actions usage limits and charges still apply. This is a dependency check, not the full tool catalog.
Review the template · Manual installation, privacy and updates
Paste this into your coding agent in the project you want to check:
Set up Offense for this project. Read the installation instructions at
https://github.com/offense-research/offense#install-the-offensesh-agent-skill and review the skill at https://raw.githubusercontent.com/offense-research/offense/main/.agents/skills/scanning-with-offense/SKILL.md
Reuse an existing reviewed Offense checkout or connection if available. Otherwise inspect the public source before using its helpers. Install the skill in this agent's project-local skill directory, preserving custom files and other agent settings. Tell me if a new session or project trust is needed.
Run only the offline dependency-input preview. Show the selected lockfiles, unsupported inputs and which execution mode would perform the real audit. Do not upload data, run a paid scan, install the target project's dependencies, edit application code, commit or push.
The first success is a real preview and an explicit scope, not “installed” without a command result. The agent needs terminal/filesystem access and Node; copying a skill does not give a chat-only client those capabilities. If it cannot read GitHub pages, use the raw skill URL or a reviewed local checkout.
Already configured? Ask: “Use Offense to check my app for security problems, explain the findings and consequences, and help me decide what to fix.” Offense infers relevant checks from the project, reports missing coverage, and asks only for the inputs or authorization those checks need. Assessment alone does not authorize application edits or paid calls. Narrow dependency and local-only requests keep their scope.
Start with one of the task prompts below. Prefer manual setup? Use the per-agent instructions.
The native plugin is built from the same maintained skill and CLI in this repo. To try a local checkout with Codex:
codex plugin marketplace add /absolute/path/to/offense
codex plugin add offense@offense
Start a new Codex session, then ask $offense:offense to check your app and explain the findings. Installing does not log in, scan, buy credit or register MCP. The plugin reuses existing connections or its bundled CLI. Codex owns updates; credentials stay in the CLI's private configuration. If you already installed a manual Offense skill, choose which entry point to keep; customized skills and project instructions are never removed automatically.
Once these files are published on the repository's default branch, the intended remote registration is codex plugin marketplace add offense-research/offense, followed by codex plugin add offense@offense. The local path has been smoke tested; the remote command requires verification against that published ref. Public OpenAI directory listing is a separate submission, not part of this build.
Put the examples on offense.sh to work. Each recipe includes an agent prompt, prerequisites, commands, approval boundaries and the evidence to return. Start with a single reviewed run before adding recurring automation.
| Build or run | Recipe |
|---|---|
| Your dependency bot / a pre-release audit | Audit dependencies and verify reviewed upgrades |
| Your first reviewer | Review a PR with source evidence |
| Your secrets guard | Check staged or tracked contents without confusing the snapshots |
| A SQL-injection review | Trace request input, parameterize and test |
| Your CI reviewer | Review Actions YAML without executing workflows |
| Your API tester | Exercise a disposable local API with bounded requests |
These are recipes for your agent, not installed schedules, hooks or bots. Local scanners need their pinned engines; hosted Gitleaks needs availability, upload approval and a spending ceiling. See the shared setup and limits.
Offense is not an autonomous permission grant. A finding is not a confirmed exploit, an advisory match is not proof of reachability, and a partial scan is not a clean bill of health. Your agent remains responsible for reviewing changes and obtaining authorization before active testing, paid calls or publication.
See From a finding to a reviewed fix.
See Ask for the outcome you want.
See What your agent should read and return.
See Export a PDF report locally.
| Mode | Best for | Requirements | Execution and cost |
|---|---|---|---|
| Local dependency engine | Auditing a project from your terminal or coding agent | Node.js 24+, npm; no Docker or Offense account for dependency analysis | Runs on your machine; queries public OSV/npm metadata; no Offense usage charge |
| Self-hosted platform | Running your own API, MCP endpoint and isolated source scanners | Linux amd64, Node.js 24+, npm, Git and Docker Engine | Your infrastructure; dependency audits, Opengrep and Zizmor enabled; Offense billing disabled |
| Hosted service | Using managed tool execution without operating the scanner infrastructure | An Offense account for authenticated tools | Runs on the service; enabled paid tools use quoted prepaid credit |
The local engine and self-hosted profile do not require an Offense subscription or model-provider key. Advisory lookup still needs network access; “local” does not mean an offline advisory database. You pay your own infrastructure costs when self-hosting.
See Install the CLI.
See Homebrew — macOS and Linux.
See Stable GitHub release — Node.js 20+.
See Ubuntu and Arch Linux.
See npx / npm exec — run without a global install.
See npm — install the command globally.
See pnpm or Bun — one-off execution.
See From a reviewed checkout — no package manager install.
See After installation.
Use Node.js 24 or newer, npm and Git. This path does not start a server, install Docker scanners or require an account.
git clone https://github.com/offense-research/offense.git
cd offense npm --prefix offense ci --ignore-scripts
node offense/bin/offense.mjs doctor /absolute/path/to/your-project node offense/bin/off
冒頭だけを表示しています。続きはリポジトリで読めます