AWS Case Drafter
MCP server，让客户在 AI 对话中自然地完成 AWS Support 工单的起草与提交。
不需要离开对话窗口，不需要手动整理信息 —— 一句"帮我开个工单"即可。
当前支持范围：目前聚焦 AWS 中国区（aws-cn，北京 / 宁夏）。已针对 API Gateway、Lambda、IoT Core 三个服务做了诊断信息收集与工单模板的特别适配；其他服务可用通用模板起草。
解决什么
- 跳出对话：不再需要切回控制台手动填写工单
- 重复劳动：对话中已经说过的问题，不用重新组织一遍
- 反复补充：自动收集 TSE 需要的诊断信息，减少来回追问
MCP 工具
| 工具 | 功能 | 凭证 |
|---|---|---|
fetch_lambda_context |
Lambda 函数 ARN + 最近错误日志 | 需要 |
fetch_iot_context |
IoT Core 诊断信息（V2日志/加密配置/自定义域名/Command/Topic Rule） | 需要 |
fetch_apigw_context |
API Gateway REST API 日志 + VPC Link/Usage Plan | 需要 |
draft_support_case |
根据诊断数据生成结构化工单草稿 | 不需要 |
submit_support_case |
客户确认后通过 Support API 提交工单 | 需要 + Business Plan |
快速开始
1. 准备 uv 运行环境
多数 AI 客户端已集成 uv。Cherry Studio 在 设置 → MCP 服务器 点"安装"即可（用其内置 uv）。
2. 新建 stdio 类型的 MCP 服务器
在客户端 MCP 配置中添加：
- 命令：
uvx - 参数：
aws-case-drafter@latest - 包管理源：国内建议选清华/阿里云镜像加速
3. 配置环境变量
支持 AWS SDK 标准环境变量：
- 已配置 AWS CLI 时：
AWS_PROFILE（profile 中一般已包含 region） - 未配 CLI 时：
AWS_ACCESS_KEY_ID+AWS_SECRET_ACCESS_KEY+AWS_REGION
凭证可选 —— 无凭证时退化为仅基于对话历史生成草稿。
设计亮点
- 适配多模型：工具描述简洁直观，适配 DeepSeek、千问等国产模型
- 自动脱敏：日志中的敏感信息（IP、密钥、邮箱）在进入工单前自动脱敏
- 日志自动附件：大量错误日志写入临时文件随工单提交，正文保持简洁
技术栈
- Python 3.10+
- MCP SDK (FastMCP)
- boto3
- 打包：hatchling → PyPI →
uvx运行
兼容客户端
- Cherry Studio + DeepSeek/千问 (国内首选)
- ChatBox + 任意模型 API
- Claude Desktop / Kiro / Cursor
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for aws-case-drafter 0.2.2
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