DugganUSA CLI — Local STDIO MCP
io.github.pduggusa由 GitHub 帳號 pduggusa 發布v1.3.4更新於 Oct 24, 2026
Local STDIO MCP for DugganUSA threat intel. 1.13M IOCs. Read-only. npm: dugganusa-cli.
概覽
一個本機唯讀 MCP 伺服器,讓助理搜尋 DugganUSA 威脅情報指標、豐富 IP 資訊並彙整 STIX 饋送。
- 可以做什麼
- 以本機 STDIO MCP 伺服器方式執行,提供三個唯讀工具:search 可在 IOC、pulse、部落格、攻擊者、CISA KEV 及約 70 個索引中全文檢索;enrich-ioc 回傳 IP 的國家、ASN、威脅類型、惡意軟體家族及跨索引關聯;stix-feed-summary 提供索引統計及 STIX 2.1 / TAXII 2.1 饋送指引。README 稱沒有寫入、存取檔案系統或執行命令的工具。選用的 --dredd-gate 旗標會預檢工具呼叫並將允許的呼叫記錄到 stderr。
- 適用情境
- 當助理需要判斷某個 IP、網域、CVE 或套件是否為已知威脅指標,或在安全工作上取得威脅情報背景時使用。鎖定希望在 Claude Desktop、Cursor 或 Claude Code 等 MCP 用戶端中使用該語料庫的分析師與開發者。
- 執行需求
- 需要 Node.js 與 npx,因為透過 npx -y -p dugganusa-cli dugganusa-mcp 在本機執行。需要連線至提供方分析端點的網路存取。選用的 DUGGANUSA_API_KEY 可提高速率限制;README 說明免費層是免費註冊金鑰而非匿名存取,每天 500 次查詢。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 DugganUSA CLI — Local STDIO MCP,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
dugganusa-cli
Docs: https://docs.dugganusa.com/quickstart/
You do you. I do me. We share contexts.
Your terminal and your agent keep their own context; the DugganUSA Feed lends them its context, read-only, from a binary you own.
Two binaries. One install. Threat intelligence you can check. Corpus size: live counts.
What's New (v1.5.1)
- Supply-chain scanning leveled up. The corpus now ingests OSV malicious-package feeds for both npm and PyPI — named-malicious packages, zero-heuristic, daily — alongside daily GitHub Hunt detections of malware-staging repos and install-time execution signatures. Pipe a lockfile or
--file package.jsonand known-bad packages surface next to network IOCs. This is the CI angle: catch a poisoned dependency before it ships. - Four live, no-auth, deploy-durable validation endpoints now prove feed quality:
- Novelty — feed-uniqueness: how much of what we publish adds to ThreatFox, which we also carry and credit (measured live).
- Timeliness — kev-lead: when an exploited CVE reached our corpus relative to CISA KEV, including same-day and no-receipt cases.
- Accuracy — spamhaus-validation: Spamhaus independently checks our first-hand contributions.
- Liveness — feed-efficacy: opt-in consumer reports of when our indicators actually fire on real traffic — proof the feed is operationally live, not just large.
A two-person Minnesota LLC. Most of what is in the corpus comes from other people's good work: abuse.ch, Spamhaus, CISA, OSV and the researchers we cite by name. We join it with our own GitHub hunting and edge sensors, correlate it, and hand it back with the source attached.
What it asks of you: nothing you cannot read. No agent to install, no inbound access, none of your data leaves your machine except the indicators you look up. Keep every tool you already use; this adds a second opinion beside them.
Bin rename (since v1.3.0): the scanner bin was
dugganusa-lookupin v1.2.0. It is nowdugganusa-cli. The olddugganusa-lookuppackage is dead — usedugganusa-cli. The MCP bin (dugganusa-mcp) is unchanged. Update any pinned scripts.
Install
Scanner usage
Output
The full-enrichment (correlate) link is key-gated (free key required).
Exit codes
Exit 1 on match is the whole point. Block deployments containing known-bad indicators before they ship.
CI/CD examples
API key
The STIX feed is API-key-enforced: anonymous requests and unregistered keys get 401; a registered key past its daily limit gets 429. The free tier is a free registered key — not anonymous. Register here: analytics.dugganusa.com/stix/register
Free tier: 10 queries/day (pricing). Set the key via --key flag or DUGGANUSA_API_KEY env var.
What's in the index
Indicators sourced from external feeds (abuse.ch SSLBL, URLhaus, Spamhaus, CISA KEV, OSV malicious-package feeds for npm + PyPI, and more), plus DugganUSA original research, our exploit harvester, daily GitHub Hunt detections, and our edge honeypots. Cross-correlated across the whole corpus (live counts).
Same corpus, your terminal.
MCP server (dugganusa-mcp)
Local STDIO MCP server. Wire it into any MCP client, your AI assistant gets the DugganUSA threat-intel corpus as read-only tools.
A small MCP server you can read end to end, so adding it to your agent costs you very little trust.
Three tools, that's it
- search — full-text across IOCs, blog, adversaries, CISA KEV and the rest of the corpus (live counts).
- enrich-ioc — IP enrichment: country, ASN, threat type, malware family, cross-index correlations.
- stix-feed-summary — index stats + pointers to our STIX 2.1 / TAXII 2.1 feeds.
No tools that write. No tools that touch your filesystem. No tools that exec. Read-only, all the way down.
Wire it into Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):
Restart Claude Desktop. Three tools appear in the picker. Same pattern works for Cursor, Windsurf, Claude Code, or any MCP client that speaks STDIO.
Local policy enforcement: --dredd-gate
Pre-flights every tool call: validates tool name, required arguments, logs allowed calls to stderr. Read the verdict function in mcp/lib/serve.js (function dreddVerdict). This is the hook where you wire stricter policy: deny lists, IP allow-lists, per-tool rate limits, or a remote dredd verdict endpoint.
Default is off. Turn it on if your environment is anything more than your laptop.
Why this MCP exists
A STDIO MCP server runs on your machine with your permissions, so the question to ask of any of them, ours included, is how much you have to trust it. We tried to make the answer "very little":
- Read-only tool surface only — no write, no exec
- No third-party MCP SDK dependency (every line is in this repo)
- Customer owns the binary, runs it locally, sees every request before it leaves the machine
- Optional
--dredd-gatelocal policy hook - Zero npm runtime dependencies
This is that MCP.
Auditing the binary
Read the bytes you're running:
Should return nothing.
Source layout under mcp/:
mcp/serve.js— bin entry, argv parser (~45 LOC)mcp/lib/serve.js— JSON-RPC 2.0 over STDIO (~125 LOC)mcp/lib/tools.js— three tool schemas + handlers (~80 LOC)mcp/lib/upstream.js— HTTPS request to analytics.dugganusa.com (~40 LOC)
Tests:
10 tests covering the dispatch surface and live network calls. Every release runs them in CI before publishing.
Provenance
Releases ≥ v1.3.0 are published via npm Trusted Publishing (GitHub Actions OIDC) with --provenance. Verify:
You get signed attestation that the published bytes came from a specific commit in a specific GitHub workflow run. No long-lived tokens involved.
Checking our work
We get things wrong and say so in public: corrections are dated and kept next to the original claim at dugganusa.com. Every verdict carries the source it came from, so you can check it against that source instead of taking our word. If something here is wrong, open an issue; that is the most useful thing you can send us.
Part of the DugganUSA ecosystem
- VS Code Extension
- DugganUSA Feed
- AIPM — AI Presence Management: what AIs say about you
- dugganusa.com — research, methodology, receipts
License
MIT — DugganUSA LLC, Minnesota. Contact: [email protected].
Free tier means free. Audit it. Fork it. Tell us when we got something wrong.
DugganUSA Defender Family
Same DugganUSA Feed, surfaced wherever you live. Open source, MIT licensed, receipts on every repo.
Backed by the DugganUSA Feed. Numbers are live: /api/v1/search/stats. Pricing: analytics.dugganusa.com/pricing. Contact: [email protected].
Threat intelligence you can check.
來源:README.md,提交 71d3783
工具
0版本歷史
1- v1.3.4最新Sep 16, 2026
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