Aribot

io.github.aristiun由 GitHub 账号 aristiun 发布v1.0.0更新于 Oct 24, 2026

Threat modeling, code/cloud/pipeline scanning, shadow-AI discovery, compliance checks and fixes.

已验证Streamable HTTP可网页运行云端与基础设施开发者工具安全与监控

概览

AI 生成的概览

Aribot 是托管的安全 MCP 服务器,让助手构建威胁模型、扫描代码、流水线与云账户、检查合规并给出修复建议。

可以做什么
根据系统图或文字描述生成并重新建模威胁模型,覆盖 STRIDE 与 LINDDUN,并可从威胁追溯到需求、控制与修复;在代码中验证威胁,检查 NIST、ISO 27001、SOC 2 等框架的覆盖情况并报告合规状态,也可评估第三方供应商。执行代码、CI/CD 流水线、云配置与 SBOM 扫描,并发现环境中扩散的影子 AI 使用与 API 端点。以代码、云配置或基础设施即代码形式获取修复方案,并查看计费与用量信息。
适用场景
适合在现有助手中完成安全工作:把设计转成威胁模型,检查代码仓库、流水线或 AWS、Azure、GCP 账户,跟踪合规缺口,或为某个发现获取修复建议而无需切换工具。
运行要求
远程 streamable HTTP 端点,需 OAuth 2.1 登录(授权码加 PKCE,动态客户端注册);无需本地包或环境变量。访问受公司许可证、授予的 OAuth 作用域和团队角色限制,因此需要已授权的账户与租户。
安装前请注意
OAuth 作用域包含写入与执行权限,如 run:scan、run:codereview、write:threatmodel 和 run:remediation;修复可在批准后实际应用,例如创建拉取请求或推送云变更。用量按量计费且每个操作都会记录日志,扫描会把代码仓库、流水线和云账户数据发送到托管服务。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Aribot,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.aristiun%2Faribot/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "aribot": {
      "type": "http",
      "url": "https://mcp.aribot.ayurak.com/mcp"
    }
  }
}

README

[Aribot]

Aribot — MCP server for security work

[Aribot MCP]

Live page: https://aristiun.github.io/aribot-mcp/ · Product: https://aribot.ayurak.com · Registry: io.github.aristiun/aribot

Aribot is a security tool from Ayurak / Aristiun, available as a remote Model Context Protocol (MCP) server. Connect it to any MCP client — ChatGPT, Gemini, Claude, or your own — and run real security work from the assistant you already use, without switching tools.

This repository is a public manifest for the hosted server. It contains no product code — only the connection details. The server requires OAuth, so listing its address exposes nothing without an authorized login.

Unified threat modeling — one model, not five tools

Aribot builds one threat model per system and layers every discipline onto it — security (STRIDE + LINDDUN), cloud posture (AWS · Azure · GCP), compliance (NIST · ISO 27001 · SOC 2), and the economics of each risk (value at risk, cost to fix, dollars saved once healed) — all kept traceable end to end:

Threat → Requirement → Control → Framework → Code → Fix

Ask for any link in that chain, in either direction, with evidence behind every finding and every fix.

What you can do with it

Threat modeling

  • Turn a diagram or a written description of a system into a full threat model
  • STRIDE and LINDDUN coverage, generated per component and per data flow
  • Threats mapped to the security controls, requirements, and compliance frameworks that address them
  • A traceability view from each threat → finding → control → requirement → remediation
  • Re-model as the design changes; link related diagrams and reuse component threat libraries

Scanning

  • Code security — static analysis of a connected repository
  • Pipeline security — CI/CD configuration and supply-chain checks
  • Cloud & compliance — posture checks across AWS, Azure, and GCP accounts
  • SBOM — generate a software bill of materials
  • Shadow AI & API discovery — find where AI/LLM use and API endpoints have spread across your estate

Compliance

  • Coverage and control status against NIST, ISO 27001, SOC 2, and other frameworks
  • See which controls a threat model or scan already satisfies, and where the gaps are

Vendors

  • Assess a third party's posture and fold it into your own risk view

Remediation

  • Get a fix for a finding — as code, cloud configuration, or infrastructure-as-code
  • Keep it advisory, or apply it (e.g. open a pull request or push a cloud change) under approval

Connect

Point any MCP client at the server and complete the OAuth prompt:

https://mcp.aribot.ayurak.com/mcp
TransportStreamable HTTP
AuthOAuth 2.1 (Authorization Code + PKCE; Dynamic Client Registration)
Homepagehttps://aribot.ayurak.com

OAuth is discovered automatically at https://mcp.aribot.ayurak.com/.well-known/oauth-authorization-server.

Example (Claude Code):

claude mcp add --transport http aribot https://mcp.aribot.ayurak.com/mcp

Access controls

Each call is checked against your company's licence, the OAuth scopes you granted (read:findings, read:threatmodel, read:insights, run:scan, run:codereview, write:threatmodel, run:remediation), your team's roles, and your tenant boundary. Usage is metered, and every action is logged. So you can run security work from an assistant without losing track of who can do what, or which company's data is which.

Tools

generate_threat_model · verify_threats_in_code · get_traceability · get_framework_coverage · compliance_status · discover_shadow_ai · get_api_security · get_cloud_compliance · get_remediation · get_billing

See the full tool list and pricing at https://ayurak.com/pricing.


© Ayurak / Aristiun. "Aribot" and "Ayurak" are trademarks of their owner. This manifest is provided for MCP discovery under the MIT License (see LICENSE).

来源:README.md,提交 429a244

工具

0
该服务器需要登录,因此 SourceWeft 无法在没有账号的情况下读取其工具,也未收录。已连接账号所能看到的内容可能因账号及其权限而异。

版本历史

1
  1. v1.0.0最新Sep 16, 2026

评分

已满足适用检查项的 85%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通必需25 分
  • 已声明认证方式必需10 分
  • 已列出工具15 分

    请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。

  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分