官方说明7 个来源MCP 服务8 天前

embeddedlayers/mcp-analytics

The statistical analyst in your AI chat — bring data and a question, own a citable, re-runnable analysis. Four depth tiers, from instant Snapshot to full Deck study. Works in Claude, Cursor, and any MCP client.

在 GitHub 查看 ↗直链 · 无中转页

配置模板（请按你的客户端调整）

claude mcp add mcp-analytics -- npx -y mcp-analytics

这是根据仓库名生成的可粘贴骨架，命令行参数与包名请以该项目 README 为准。

★ 数取值: 8 ★ · embeddedlayers/mcp-analytics · 取自该仓库的 GitHub 页面 · （2026-10-16 20:00:20 核对）
来源明细: 收录自 punkpeye/awesome-mcp-servers 榜单（我们从中收集的条目之一） · 条目类型：MCP 服务
收录与活跃: 收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
评分构成: 综合分 703 · 8 ★ · 7 个来源 · mcp

常见问题（答案都来自我们的记录）

怎么安装？

我们【没有】从该仓库取到安装命令（我们的 install 覆盖率只有约 4%）。请看它的 README 或 releases 页。

它适合谁 / 用来做什么？

我们把它归在这些标签下: MCP 服务。标签来自条目自身，不是我们强加的分类。

谁维护它、还在更新吗？

仓库 embeddedlayers/mcp-analytics；我们收录于 2026-10-09；最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。

第三方质量标记

MCP Analytics

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

**A statistical analyst in your AI chat.** Bring a dataset and a question, get back a citable, re-runnable report with its method named.
MCP Analytics is a Model Context Protocol server that answers business and statistical questions about your data, as deep as each question needs:
- **Answer:** a quick question about the data, read from all of it, shown with how we got it, and saved.
- **Analytics:** a tested statistical method runs on the data, and we interpret it with charts and a written report.
- **Custom Analytics:** a question only your business asks, built for your data from proven models, yours to re-run on next month's file.
Intelligent routing picks the depth: you describe the question, and the server says which path answers it and why. Analytics is repeatable: same data, same numbers. Every report names its method and the code that ran it, and runs again on new data.
It is for business and statistical questions about data, not a general-purpose assistant.
Website: mcpanalytics.ai · Free tools you can try in the browser: mcpanalytics.ai/free
Connect
**Endpoint:** https://api.mcpanalytics.ai/mcp/api-key (Streamable HTTP, JSON-RPC)
**Authentication:** an API key in the X-API-Key header. Create an account at mcpanalytics.ai and copy your key from your account settings.
**Claude Code:**
**Browse before you sign up.** Without a key the server answers in discovery mode: you can connect and list the tools, but not run anything.
Start
Ask your AI assistant a question about your data, for example:
- "Upload sales.csv. What changed in revenue from May to June, and which channel drove it?"
- "Which customers are most likely to churn?"
- "Forecast next quarter's sales from this file."
The first call is the resolver: it reads your question and your data, executes nothing and charges nothing, and names the path that answers it (an answer, a library analysis, or a custom build) with the reason. Then it runs that path.
What you get
- A report with charts, tables and a written interpretation, with its method named and the code that ran it.
- Re-runs on new data: run the same analysis on next month's file.