amazon-data-core
Syncs Amazon order, FBA inventory, Sponsored Products advertising, and settlement data to local storage, with validation of data completeness, timeliness, and traceability for analysis.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@amazon-data-coreHow many orders did I have last week, and is the data complete and fresh?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Amazon Data Core
把 Amazon 订单、库存、广告和结算数据同步到本地,并先验证数据是否完整、及时、可追溯,再交给你选择的 AI 或分析工具使用。
Amazon Data Core 是本地数据引擎和只读 MCP Server,不是广告优化 Agent,也不是聊天界面。它负责提供可信的经营事实,不替用户或模型做主观经营决策。
适合谁
没有研发团队,希望让现有 Agent 使用自己真实店铺数据的 Amazon 卖家和运营人员;
需要统一数据口径、质量检查和本地存储的服务商与技术团队;
希望更换 AI 工具时,不必重新同步和解释全部数据的用户。
Related MCP server: mcp-cn-commerce
当前支持
数据集 | 当前能力 | 重要范围 |
订单 | SP-API Orders 2026 增量同步、分页恢复、原始与标准化数据 | 不请求买家或收件人信息 |
库存 | 当前 FBA 完整快照、版本切换、血缘 | 不包含 FBM/MFN,也不是历史库存 |
广告 | Sponsored Products Campaign、搜索词、购买商品报表 | 使用独立 Ads 授权;不同粒度不可相加 |
结算 | 已闭账结算报告、金额解析与逐行对账 | 不等于实时收入或利润 |
FBM/MFN 库存、Sponsored Brands/Display、Targeting、Ads Unified Reporting 和 Finances v2024 实时流水尚未支持。完整边界见项目范围和路线图。
交给 Agent 安装
前提是 Agent 能读取 GitHub 仓库并在你的电脑上执行 Shell 命令。把仓库地址和下面这句话交给它:
请克隆这个仓库,并严格按照 AGENT_INSTALL.md 运行现有的 Amazon Data Core。
不要重新开发应用或生成前端。需要 Amazon 凭证时把终端交给我输入,不要让我把凭证发送到聊天中。Agent 专用的完整执行契约见 AGENT_INSTALL.md。不具备本机终端能力的聊天产品不能代替你安装;这时请使用下面的终端入口。
在终端安装
需要 Git、Docker Desktop 和 Docker Compose:
git clone https://github.com/yanghanson801-rgb/amazon-data-core.git
cd amazon-data-core
./scripts/onboard.shonboard.sh 会安装服务、执行数据库迁移和自检,然后在本机终端引导 Amazon 授权与首次同步。凭证只写入权限为 0600 且已被 Git 忽略的本机 .env;不要把 Client Secret 或 Refresh Token 发给任何聊天模型。
只安装空白 Core、暂不连接 Amazon:
./scripts/install.sh首次连接真实店铺前,你仍需拥有自己组织的 Amazon private SP-API 应用并完成自授权。广告数据还需要单独的 Amazon Ads 应用授权和 Profile ID。开源代码不能绕过 Amazon 审核、OAuth 同意或所需角色,详见 Amazon 授权说明。
如何确认安装完成
完整的新用户流程只有在终端最终显示 First sync passed 时才算完成。如果某个数据集失败,脚本会列出失败项并返回非零退出码,不会把“部分成功”描述成“全部完成”。
空白 Core 可以用以下命令验证:
curl --fail http://localhost:8080/health
docker compose exec -T core amazon-data-core doctor
docker compose exec -T core python scripts/verify_mcp.py
docker compose exec -T core amazon-data-core status本地服务启动后提供:
API 文档:http://localhost:8080/docs
只读 MCP Server:
amazon-data-core mcp
数据为什么可以核验
每次同步都会保留数据来源、店铺、站点、业务日期、抓取时间、源更新时间、原始引用和处理版本,并明确记录:
同步是否完整,源记录数与标准化、去重数量是否相符;
数据是否过期、仍在归因窗口内或后来被 Amazon 修正;
迟到数据是否比当前版本更新,是否可以切换为当前事实;
检查是
passed、failed、skipped还是error;当前问题是否仍然开放,以及后续成功是否已经关闭旧问题。
缺失数据不会被解释为零销售、零广告或零库存。经营数据摘要类 MCP 查询会同时返回相应的数据覆盖范围和 safe_to_analyze 判断。
文档
通用 Skill 位于 skills/amazon-data-core/SKILL.md,可以通过 amazon-data-core install-skill --host generic 安装。不同 Agent 的 MCP 配置入口可能不同;项目提供标准 MCP stdio 服务,但不声称所有产品都使用同一个配置文件或都具备本机执行权限。
开发验证
python3 -m pytest许可证:Apache-2.0
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
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