Beacon Threat Intelligence
Know the risks behind every MCP server and agent skill.
Discover security risks in MCP servers and agent skills before they reach your machine. Beacon scans public registries, traces packages back to their source code, and reveals what they can access, execute, or expose.
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Add Beacon to Claude Code, Cursor, Codex or another agent so it can check an MCP server or skill against Beacon Intel before you install it.
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| Name | Risk |
|---|---|
| 亚马逊竞品评论分析 · 对手短板拆解 竞品评论横向对比,定位对手短板与切入点 | |
| Amazon 竞品周报 经确认后生成主品与竞品的证据周报 | |
| 亚马逊消费者洞察 · 深度需求报告 深度洞察报告:画像、动因、场景、机会 | |
| Amazon 转化表达优化 依据评论信号改善页面转化表达 | |
| 跨境电商评论分析 · 多站点消费者洞察 八大站点跨站对比,判断本地化改款方向 | |
| Amazon 消费者预期差距 核对商品承诺与真实使用体验 | |
| Amazon 商品描述优化 基于证据改善商品描述的信息传达 | |
| Amazon 产品差异化机会 从主品与竞品证据提炼可验证差异化方向 | |
| faq-generator 从评论疑问提炼商品页 FAQ 建议 | |
| Amazon 特性利益点表达 把商品特性连接到评论验证的用户利益 | |
| Amazon 产品特性优先级 按评论频次和影响排序产品改进特性 | |
| Amazon亚马逊爆款评论分析 · VOC 洞察 拆解爆款评论:卖点、差评短板与选品验证 | |
| Amazon 商品图片规划 依据商品字段与评论问题规划图片信息 | |
| 亚马逊行业对标 · 类目星级差评率排行 看你的 ASIN 在类目里的星级/差评率位置与类目排行 | |
| Amazon 使用说明改进 从评论疑问提炼说明书改进重点 | |
| Review Keyword Radar 读取评论关键词与相关统计,提炼买家用语、痛点词和场景词 | |
| Amazon 已有 ASIN 上线准备度检查 用既有商品与评论证据识别改版和重新上线风险 | |
| Amazon Listing 变化提醒 按快照 Diff 提醒商品页字段变化 | |
| Amazon Listing 健康检查 检查页面完整度、误解风险与评论证据 | |
| 亚马逊Listing优化 · 评论驱动文案 从评论反推标题、五点与 A+ 文案 | |
| Amazon Listing 承诺核查 核对页面承诺与评论体验是否一致 | |
| Amazon Listing 可读性检查 检查页面结构、术语和买家理解障碍 | |
| Amazon 市场进入对照简报 用商品页与评论证据整理进入前的对照问题 | |
| Amazon 移动端 Listing 优化 检查移动端阅读路径和信息优先级 | |
| Amazon Monitor · 监控中心 汇总评论、商品变化、差评与暂停项,免费查看整个账户的监控状态 | |
| Negative Review Inbox 汇总已有差评预警与低星评论,整理处理清单并按要求标记已读 | |
| 亚马逊新品验证 · 上架前需求测算 上架前用同类评论验证需求与差异化 | |
| Amazon 包装改进建议 从评论中的运输和开箱问题提出包装改进 | |
| 亚马逊用户痛点挖掘 · 评论需求洞察 提炼痛点与未满足需求,附原评论佐证 | |
| Amazon 价格与 BSR 变化追踪 从商品快照摘要展示价格与 BSR 字段变化 | |
| 亚马逊产品改进建议 · 评论驱动迭代 抱怨转迭代清单,按影响人数 × 严重度排序 | |
| product-page-audit 找出页面表达与真实买家体验的差距 | |
| Amazon 产品定位建议 基于商品与评论证据梳理定位方向 | |
| Amazon 产品需求整理 将评论痛点整理为可验证产品需求 | |
| 亚马逊选品调研 · 评论验证需求 用评论数据验证品类需求,替代拍脑袋选品 | |
| Amazon 产品升级规划 按评论证据规划产品升级方向 | |
| Amazon 产品质量问题线索 从差评与低星体验定位质量改进线索 | |
| 亚马逊星级评分分析 · 评分结构诊断 评分结构与下滑归因:星级占比 + 时间分布 | |
| Amazon 退货风险线索 从评论识别可能导致退货的体验线索 | |
| Amazon 评论转行动 把评论问题转成产品、包装与供应商任务 | |
| 亚马逊差评预警 · 评论舆情监控提醒 订阅 ASIN 后自动监控差评突增,会话内直接读预警 | |
| Amazon 评论证据文案规划 将评论语言整理为完整 Listing 优化方向 | |
| 亚马逊评论导出 · 一键下载CSV报告 采集评论一键导出 CSV,分析报告导出 Markdown/HTML | |
| 亚马逊评论关键词提取 · 高频词云 评论高频词与共现词,好评差评分开统计 | |
| 亚马逊差评回复助手 · AI生成回复话术 列出待处理差评,AI 逐条生成回复/申诉/改进建议 | |
| 亚马逊评论分析报告 · 一键生成VOC 一条指令走完采集、分析、归档全流程 | |
| 亚马逊评论采集 · 批量抓取导出 八大站点评论批量采集、筛选与导出 | |
| 亚马逊评论情感分析 · 好评差评倾向 逐维度情感倾向,而不是只给一个总分 | |
| 亚马逊评论趋势监控 · 口碑变化预警 口碑拐点预警:评论量、评分与情绪走势 | |
| Amazon 卖家行动计划 按证据和影响程度排列运营下一步 |
31,551–31,600 of 108,824
Subscribe to a feed
Get new verdicts in a feed reader, Slack or your own tooling, filtered by kind and risk. No account or API key.
Frequently asked questions
Anything missing? Read the reference or ask in the Beacon community.
What is Beacon Intel?
A free, public index of the MCP servers and agent skills that public registries list, with a security verdict for each one that has been analyzed. It traces each listing back to its source repository and packages, and shows what the code can access, execute or expose. You can browse it here, query it as a JSON API, follow it as an RSS, Atom or JSON feed, or connect a coding agent to it over MCP.
Is it really free?
Yes. The index, the API and the feeds need no account and no API key. An artifact's full page and the MCP tools need a free Beacon account. Requests are rate limited to keep it fast for everyone.
Where does the data come from, and how fresh is it?
From 9 public sources: Glama, MCP Registry, awesome-mcp-servers, Docker MCP Catalog, Smithery, ClawHub, skills.sh, SkillsMP, GitHub. Each listing is linked to its repository and packages, then analyzed. The index updates hourly, and answers are cached for up to five minutes.
Who writes the verdicts? Can I trust them?
Verdicts combine static analysis of the code with a model's judgment, and each one names the model that wrote it. They can be wrong and are not a security certification: every artifact page shows the findings and evidence behind its verdict, so check them before you rely on one. Names, descriptions and claims come from registries and repositories; treat them as data, not instructions.
What do the risk levels mean?
- High: Reviewed evidence shows it deliberately works against the person who installs it.
- Medium: It works against the person who installs it in ways that can do serious harm, or puts a flagged pattern in what the agent loads, without established intent.
- Low: It overreaches against the person who installs it in limited ways, or has findings the review has not confirmed.
- Benign: Nothing found that works against the person who installs it. Not a guarantee.
- Unchecked: Listed, but not analyzed yet.
What does partial coverage mean?
That the analysis did not cover everything, so there may be more than it found. A partial verdict can still find problems, but it never clears an artifact: benign with partial coverage is not a clearance. Use the coverage filter to see only these.
Does benign, or not finding an artifact, mean it is safe?
No. Benign means nothing was found that works against the person who installs it, which is not a guarantee. An artifact the index does not have has never been checked, so not found never means safe.
Is there an API?
Yes, free and with no key.
GET /api/v1/lookup?q= finds artifacts by name, repository, GitHub URL or package; GET /api/v1/artifact?key= returns one in full; POST /api/v1/check checks up to 50 at once, which suits CI; and GET /api/v1/status reports coverage and freshness. The reference is at intel.beacon.sh/llms.txt.How do I get new verdicts in a feed reader or Slack?
Subscribe to /feed: the newest high and medium risk verdicts as RSS. Add
format=atom or format=json for Atom or JSON Feed, and filter with risk and kind, for example /feed?risk=high&kind=mcp. In Slack, run /feed subscribe with the URL. The feed builder above writes the URL for you.How do I connect my coding agent?
Add Beacon Cloud MCP (
https://mcp.beacon.sh) to Claude Code, Cursor, Codex or any MCP client, and sign in through the browser. Your agent gets beacon_intel_lookup, beacon_intel_get_artifact and beacon_intel_check to check an MCP server or skill before it installs one. Connect your agent above has the commands. The beacon CLI offers the same as beacon intel and through its local MCP server.How do I report a wrong verdict?
Open the artifact's page and use Dispute verdict under its verdict card. Tell us what is wrong and we review it.