AI Skill Hub 强烈推荐:MCP易数分析 是一款优质的MCP工具。AI 综合评分 8.0 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。
MCP易数分析 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
MCP易数分析 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/dhapat3927/mcp-edd-analytics-vantage
# 方式二:手动配置 claude_desktop_config.json
{
"mcpServers": {
"mcp----": {
"command": "npx",
"args": ["-y", "mcp-edd-analytics-vantage"]
}
}
}
# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
# 安装后在 Claude 对话中直接使用 # 示例: 用户: 请帮我用 MCP易数分析 执行以下任务... Claude: [自动调用 MCP易数分析 MCP 工具处理请求] # 查看可用工具列表 # 在 Claude 中输入:"列出所有可用的 MCP 工具"
// claude_desktop_config.json 配置示例
{
"mcpServers": {
"mcp____": {
"command": "npx",
"args": ["-y", "mcp-edd-analytics-vantage"],
"env": {
// "API_KEY": "your-api-key-here"
}
}
}
}
// 保存后重启 Claude Desktop 生效
Welcome to CommerceVault, a precision-engineered middleware layer that transforms the way SaaS platforms, subscription boxes, membership sites, and digital storefronts interact with their sales infrastructure. Inspired by the architectural clarity of MCP-EDD, CommerceVault is not merely a connector—it is a digital commerce orchestrator that abstracts, secures, and accelerates the communication between your application and any RESTful e-commerce backend.
Imagine your business as a vault: precious data flows in and out, each transaction a gem. CommerceVault is the master key—designed to authenticate, log, sanitize, and route every request with surgical precision. Whether you manage thousands of daily orders, run analytics on customer cohorts, or need to synchronize inventory across global storefronts, CommerceVault provides the trust layer that keeps your operations resilient and your data pristine.
Built by a team of engineers who value clarity over complexity, this repository consolidates decades of combined experience in digital product fulfillment, subscription management, and high-throughput API handling into a single, elegant solution. No bloat, no unnecessary abstractions—just clean, testable, and documented code that speaks directly to the problems of modern digital commerce.
---
CommerceVault employs a hexagonal architecture (ports and adapters) to maintain strict separation between business logic and external dependencies.
┌──────────────────────┐
│ Application Layer │
│ (Use Cases / Services)│
└────┬──────────┬───────┘
│ │
┌─────────▼──┐ ┌───▼──────────┐
│ Input Port │ │ Output Port │
└─────────┬──┘ └───┬──────────┘
│ │
┌─────────▼──────────▼──────────┐
│ Adapter Layer (Connectors) │
│ EDD | Woo | Shopify | Custom │
└────────────────────────────────┘
Each adapter is a self-contained module that implements a standard interface. Adding support for a new e-commerce backend requires only writing an adapter—no changes to core logic, caching, or security layers.
The request flow is:
---
CommerceVault exposes a comprehensive set of endpoints and services that mirror the most critical operations in digital commerce management:
- Product Catalog Synchronization Retrieve, filter, and cache product listings. Supports variable pricing, digital downloads, virtual goods, and subscription tiers. Delta sync ensures only changed records are fetched, reducing bandwidth and API quota consumption.
- Order Lifecycle Management From order creation, through fulfillment, to refunds and cancellations. Each state transition is logged with cryptographic fingerprints, enabling non-repudiation and compliance with financial auditing standards.
- Customer Identity & Segmentation Merge anonymous session data with authenticated profiles. Track lifetime value (LTV), purchase frequency, and recency metrics. Export segments directly to CRM or marketing automation tools.
- Analytics & Revenue Streams Real-time dashboards for gross merchandise value (GMV), churn rate, average order value (AOV), and cohort analysis. Drill down into product performance, geographic distribution, and payment method breakdowns.
- License & Entitlement Management For digital products and software-as-a-service, CommerceVault manages license keys, activation codes, and entitlement tiers. Integrates with consumer-grade key validation endpoints and enterprise PKI systems.
---
We welcome contributions that improve the quality, performance, or security of CommerceVault. Please adhere to the following protocols:
develop..editorconfig and .eslintrc files (or equivalents for other languages).All contributions are subject to the project’s Code of Conduct, which promotes respectful collaboration and inclusive language.
---
Every deployment includes a sandbox mode that simulates upstream API behavior with fake data. Use the sandbox for integration testing, load testing, and training without consuming real API quota or affecting production data.
Native clients are available for: - Python 3.9+ (synchronous and async) - Node.js 18+ (ESM and CommonJS) - Go 1.21+ - Java 17+ (with Spring Boot auto-configuration)
A self-hosted Swagger UI instance is bundled, rendering complete endpoint specifications, request/response schemas, and example flows. The documentation updates automatically when adapter configurations change.
Define custom middleware modules that execute on every request. Examples include: - Geo-fencing – Restrict product availability by region. - Fraud scoring – Evaluate order risk using configurable heuristics. - Currency normalization – Convert all monetary values to base currency.
开源MCP工具,易数下载API,销售分析功能强大
该工具未明确声明开源协议,商业使用前请联系原作者确认授权范围,避免侵权风险。
AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。
总体来看,MCP易数分析 是一款质量优秀的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。
| 原始名称 | mcp-edd-analytics-vantage |
| Topics | easy-digital-downloadsecommerceeddmcpmcp-server |
| GitHub | https://github.com/dhapat3927/mcp-edd-analytics-vantage |
| 语言 | HTML |
收录时间:2026-07-04 · 更新时间:2026-07-04 · License:未公布 · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型,复制安装指令后粘贴到对应客户端