mcpbeat

stagenth · Excel 数据可视化 MCP Server

com.stagenth/excel-chart
answering

stagenth · Excel 数据可视化 is answering right now. Last checked 11 min ago. It exposes 4 tools.

Excel analytics: inspect, query (JSON rows), charts, and JSON-to-xlsx workbook writing.

Uptime history 39 hours of history
39 hours agonow
100.0%
Uptime 24h
91 of 91 checks
4
Tools
read from the server
1229 ms
Response time
average over 24h
open, no key
Access
streamable-http

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add excel-chart --transport http https://stagenth.com/mcp/excel-chart/
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "excel-chart": {
      "url": "https://stagenth.com/mcp/excel-chart/"
    }
  }
}
~/.codex/config.toml
[mcp_servers.excel-chart]
url = "https://stagenth.com/mcp/excel-chart/"
.cursor/mcp.json
{
  "mcpServers": {
    "excel-chart": {
      "url": "https://stagenth.com/mcp/excel-chart/"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "excel-chart": {
      "url": "https://stagenth.com/mcp/excel-chart/"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

excel
excel_inspect
查看 Excel 结构：各 sheet 的列名/类型/行数 + 前 N 行预览。免费(0 credit)。 出图前先调它看清有哪些 sheet、列、哪些列是数值，再据此选 chart_type 与 x/y。
excel_query
查询 / 过滤 / 分组聚合 Excel，返回**实际数据行（JSON）**供 AI 直接分析（1 credit/次）。 取数工具，区别于 excel_to_chart（出图）和 excel_inspect（只看结构）。典型用法： · 各地区销售额合计：group_by=["地区"], measures=["销售额"], agg="sum" · 销量 Top5 商品：group_by=["商品"], measures=["销量"], agg="sum", sort_by="销量", descending=true, limit=5 · 每类别多少行：group_by=["类别"], agg="count" · 筛失败订单明细：filters=[{"column":"状态","op":"eq","value":"失败"}] 返回 {ok, sheet, mode, columns, total_rows, matched_rows, returned_rows, truncated, rows[]}。 失败自动退款。
excel_to_chart
把 Excel 数据渲染成图表，产物存进你的文件中转站并返回下载 URL。 计费(生成类)：基础 3；高级图型 +2；矢量 SVG +1；大数据(>5000 行) +2。 调用失败自动退款。建议先 excel_inspect 看清列结构再出图。 返回: {ok, file_id, filename, format, credit_charged, download_url(15分钟有效), chart_type, sheet, rows}
excel_write
把 JSON 数据写成 Excel 工作簿（.xlsx），落文件中转站返下载 URL（上限 20 万单元格）。 补上「只能读不能写」的缺口：AI 算完的结果一步落成正式 Excel 交付。失败自动退款。

Endpoints

URLTransportStateLatencyChecked
https://stagenth.com/mcp/excel-chart/ streamable-http answering 1838 ms 11 min ago

stagenth · Excel 数据可视化 — questions

Answers built from our own checks of this server.

What can stagenth · Excel 数据可视化 do?
It exposes 4 tools, read directly from the server on our last check. Among them: excel_inspect, excel_query, excel_to_chart, excel_write. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is stagenth · Excel 数据可视化 working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 1229 ms. The bar chart above shows every period we have measured.
How do I connect stagenth · Excel 数据可视化?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does stagenth · Excel 数据可视化 need an API key?
No. stagenth · Excel 数据可视化 completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is stagenth · Excel 数据可视化?
It answers our handshake in 1229 ms on average, which is faster than 3% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.