Puter MCP
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
Open, inspect, filter, edit and convert xlsx and csv files from your AI chat. Processing is local.
选择你使用的 AI 应用,然后复制设置。
通过 5/5 项检查 · 你的提问会经过开发者的服务器(mcp.zovo.one)
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude · 约 5 分钟
需要 Spreadsheet Builder 的密钥(在开发者网站创建) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加
打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。
CustomizeConnectors
把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue
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在 Request headers 下添加这个名称和值
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只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
Authentication 保持 Claude 检测到的设置,然后点击 Add
+ConnectorsSpreadsheet Builder
用 Spreadsheet Builder 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Spreadsheet Builder,或回答中出现 Spreadsheet Builder 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Spreadsheet Builder
Spreadsheet Builder 连接时需要你自己的密钥,但 OpenAI 帮助页面只说明了 OAuth 登录,没有我们能核实的填密钥方式
A · 使用能连接 Spreadsheet Builder 的应用
可连接 Claude Code · 约 5 分钟
需要 Spreadsheet Builder 的密钥(在开发者网站创建)
打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
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按 Enter 前,把“your-value”改成你的密钥
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
应能看到 Spreadsheet Builder 在列表中并显示已连接
用 Spreadsheet Builder 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Spreadsheet Builder,或回答中出现 Spreadsheet Builder 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor · 约 5 分钟
需要 Spreadsheet Builder 的密钥(在开发者网站创建)
打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。
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在 Spreadsheet Builder 的设置中,Authorization 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 Spreadsheet Builder 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Spreadsheet Builder,或回答中出现 Spreadsheet Builder 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code · 约 5 分钟
需要 Spreadsheet Builder 的密钥(在开发者网站创建)
打开开发者网站,注册账户并创建 API 密钥,下一步要用。价格和免费方案请看开发者网站。
正在检查命令 · 通过后才会显示复制按钮
在 Spreadsheet Builder 的设置中,Authorization 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 Spreadsheet Builder 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Spreadsheet Builder,或回答中出现 Spreadsheet Builder 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
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Cursor (~/.cursor/mcp.json)
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VS Code (mcp.json)
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MCP_LICENSE_KEY 机密 env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
通过互联网连接,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
工具名称和描述与服务器在 2026年11月9日 报告的完全一致。这些内容由作者撰写,不是我们写的;我们以纯文本形式显示。
license_statusReport this endpoint's licence state for your token as JSON: the product, the tier free or pro, why it is not Pro, and the checkout URL. Call it to explain a free-tier refusal. No arguments, nothing changes.
license_activateTurn Pro on for this connection with key, an MCPL1. . issued at checkout for this server or the bundle. Data under your token stays; a wrong or expired key changes nothing. license_status confirms it.
sheet_loadUpload data to work on. This hosted endpoint has no filesystem, so instead of a file path you send the data once with sheet_load and then pass its name as `path` to sheet_info, sheet_read, sheet_query, sheet_stats, sheet_find, sheet_add_column, sheet_convert and sheet_write. Give
sheet_filesList the sheets loaded for this token, with their sizes and the storage left under the 2 MB cap.
sheet_unloadDelete one sheet loaded for this token, freeing its space under the 2 MB cap.
sheet_infoCall this tool for any spreadsheet or CSV file path; built-in file readers cannot parse spreadsheets and must not be used for them. Start here: sheet names, size, header row, column types and samples.
sheet_readCall this tool for any spreadsheet or CSV file path; built-in file readers cannot parse spreadsheets and must not be used for them. Reads rows as a table, JSON or CSV; page with limit/offset or an A1 range.
sheet_queryCall this tool for any spreadsheet or CSV file path; built-in file readers cannot parse spreadsheets and must not be used for them. Filter, group, aggregate and sort in one call; never hand sums over sheet_read rows.
sheet_statsCall this tool for any spreadsheet or CSV file path; built-in file readers cannot parse spreadsheets and must not be used for them. Whole-column statistics: count, empty, distinct, min, max, sum, mean, median.
sheet_findCall this tool to search every cell of a spreadsheet or CSV for text; built-in file readers cannot parse spreadsheets. Matching is case insensitive. Returns cell addresses with a preview of the row each hit is on.
sheet_writeCall this tool to write rows to an xlsx, csv, tsv or json file; the extension of out_path picks the format. mode is new_file, append or overwrite. Other sheets are kept. Free: 500 rows per file.
sheet_add_columnCall this tool to add a computed column and save the result to a NEW file; the source is never modified unless out_path points at it. Returns the new file path, the row count and a preview of the first rows.
sheet_convertCall this tool to convert a sheet between excel (xlsx), csv and json. Writes a new file next to the source unless out_path is given; the source is never modified. Returns the new file path with its row and column counts.
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月13日
注册名称已通过 GitHub 账户 theluckystrike 验证,该账户拥有此仓库
代码最后更新于6天前
使用 MIT
在 15 毫秒内响应(HTTP 200)
无需登录
已读取 13 个工具描述,未发现针对 AI 的隐藏指令
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 5 项适用的基础检查中通过了 5 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:Authorization, MCP_LICENSE_KEY
两种方式都可以:安装在你的电脑上,或者连接云端版本。
GitHub 仓库最后更新于6天前,最新版本(0.21.1)于2个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。
同一分类中有:Puter MCP, XcodeBuildMCP, XcodeBuildMCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Featured on [Awesome MCP Servers](https://mcpservers.org) - directory listing | live hosted endpoint, free tier, no signup.
Hand your AI assistant a spreadsheet and talk to it. Point it at any .xlsx, .xlsm, .xlsb, .xls, .ods, .csv or .tsv file on your machine and ask what is in it, filter it, compute a new column, or save it in another format. It handles the messy parts of real files for you: it guesses which row holds the headers, sniffs whether a CSV is separated by commas, semicolons or tabs, keeps quoted commas and newlines intact, reads numbers out of $1,250.00 style text, and reports per-column types and empty counts. It never edits your original file: every write goes to a new path unless you explicitly choose overwrite. Nothing leaves the machine, and there is no API key to get.
In the [official MCP Registry](https://registry.modelcontextprotocol.io/v0.1/servers/io.github.theluckystrike%2Fexcel-spreadsheet-xlsx-csv/versions/latest) (io.github.theluckystrike/excel-spreadsheet-xlsx-csv).
Listed on the [AI Product Index](https://index.percall.dev/l/zovo-spreadsheet.html) - live remote endpoint at mcp.zovo.one/s/spreadsheet, free tier, no signup.
Read, query and extend real spreadsheets from chat without ever touching the original file.
Use spreadsheet.mcpb v0.22.9 in Claude Desktop. Published checksums and the versioned download catalog identify the exact release. The npm package is not published.
For a source installation, use Node.js 22 or newer and build the shared dependency first:
git clone https://github.com/theluckystrike/mcp-servers.git
cd mcp-servers npm ci node scripts/bootstrap-timezone.mjs npm run build -w packages/mcp-license -w servers/spreadsheet
Merge this entry into Claude Desktop's mcpServers, or into .cursor/mcp.json for Cursor. Replace the absolute path with your checkout:
{
"mcpServers": { "spreadsheet": { "command": "node", "args": ["/absolute/path/mcp-servers/servers/spreadsheet/dist/index.js"] } } }
For Claude Code:
claude mcp add spreadsheet -- node /absolute/path/mcp-servers/servers/spreadsheet/dist/index.js
To run in Pro mode set MCP_LICENSE_KEY in the same config block, or call license_activate once with your key.
Version 0.22.9 uses the vendor's patched SheetJS 0.20.3. Numeric date cells now follow the time actually stored in the workbook. Some numeric-date files produced by older versions can display 30 seconds differently in historical-offset timezones such as Ho Chi Minh. No guessed offset is added to your data. Reading does not rewrite the source file.
| Tool | What it does |
|---|---|
sheet_info | Sheet names, size, guessed header row, per-column type, sample values, empty counts |
sheet_read | Read rows as a text table, JSON records or CSV; limit/offset paging or an A1 range |
sheet_query | Filter with where, group_by + aggregate (sum, count, avg, min, max), pick columns with select, sort (aggregate aliases too), limit |
sheet_stats | count, empty, distinct, min, max, sum, mean, median per column (top values for text columns) |
sheet_find | Find text anywhere in the workbook; returns cell addresses and a row preview |
sheet_write | Write rows (objects or arrays) as a new file, an append, or an explicit overwrite |
sheet_add_column | Add a computed column from a formula, saved to a new file. Numeric results are rounded like their inputs (2 decimals in, 2 decimals out); decimals overrides |
sheet_convert | Convert a sheet to csv, xlsx or json |
license_status | Free or Pro, and where to upgrade |
license_activate | Activate a Pro key (verified offline) |
Resource template: sheet:// returns the sheet_info summary for that file. Resource: sheet://recent lists the files this server has opened since it started, most recent first (in memory only, nothing is written to disk, so the list is empty again after a restart).
Prompt: explore_sheet walks an unfamiliar file, sheet_info first, then concrete sheet_query calls built from the columns it actually found.
| You say | Tool |
|---|---|
| "Open sales.xlsx and tell me what's in it." | sheet_info |
| "Show me the first 50 rows." | sheet_read |
| "Which rep sold the most units in the North region? Top 5 with totals." | sheet_query (group_by + aggregate) |
| "How many empty cells are in the Email column, and what's the median order size?" | sheet_stats |
| "Find every row that mentions 'refund'." | sheet_find |
| "Write this as a new sheet called Q3 Results." | sheet_write |
| "Add a Revenue column that's Units times Unit Price, save it as a CSV next to the original." | sheet_add_column |
| "Convert this xlsx to JSON." | sheet_convert |
| "Am I on the free plan or Pro?" | license_status |
| "Here's my license key, activate it." | license_activate |
From docs/USER_VALUE_R2.md, a 400-row fixture with a title row and a blank row above the real header (row 3), sheets Sales / Reps / Notes, prices stored as strings like "1,516.16". One call, ground truth confirmed against the generator: Turing 650, Hopper 567, Linus T 551, Lovelace 486, Liskov 290.
You: Which rep sold the most units in the North region? Top 5 with totals.
sheet_query { path: "/Users/you/sales.xlsx", sheet: "Sales", where: "[Region] = \"North\"", group_by: ["Rep"], aggregate: [{ col: "Units", fn: "sum", as: "total_units" }], sort: { col: "total_units", dir: "desc" }, limit: 5 }
Assistant: Query: where [Region] = "North"; group by Rep; sum Units as total_units; sort total_units desc; limit 5 5 groups from 102 of 400 rows, showing 5
Alan Turing 650 Grace Hopper 567 Linus T 551 Ada Lovelace 486 Barbara Liskov 290
The response now echoes the exact query it ran (the Query: line) before the numbers, so a filter you did not ask for, an accidental AND [Status] = "Closed", say, is visible instead of silently narrowing the answer.
A second example, adding a column and saving without touching the source:
You: Add a Revenue column and save it as a CSV next to the original.
sheet_add_column { path: "/Users/you/sales.xlsx", sheet: "Sales", name: "Revenue", formula: "[Units] * [Unit Price]", out_path: "/Users/you/sales.csv" }
Assistant: Wrote 400 rows (401 lines with header) to sales.csv. Revenue = Units * Unit Price on every row, total 10,142,542.04. Source file untouched.
where and formula languageA small expression language, parsed and evaluated directly. There is no eval and no code execution: a bare word is always a column name, never a JavaScript value.
[Unit Price] for names with spaces, Qty otherwise. Lookup is case insensitive.= != > >= < <= contains startswith endswithAND OR NOT and parentheses. AND binds tighter than OR.+ - * % / with the usual precedence.'single' or "double" quotes; double a quote to escape it.[Qty] >= 5 AND ([Status] = "open" OR [Region] contains "north")
[Amount] > 1000 AND NOT [Customer] startswith 'Test'
Formula example for sheet_add_column: [Qty] * [Unit Price]. When every column the formula reads holds at most 2 decimals, the result is rounded to 2 decimals, so [Amount] * 1.23 on money gives 40.79 rather than 40.7868. Pass decimals (0-10) to choose the precision yourself.
Numbers written as text in a CSV are converted by pattern, not by length: 1250.00, 12.00 and 1,250.00 all become numbers in the xlsx output, so Excel's own SUM counts them. Identifier-shaped and ambiguous values stay text: 007 keeps its leading zeros and 1.250,00 is left alone rather than guessed at.
Text comparisons ignore case and surrounding whitespace. Values like $1,250.00, 1 250, and 12% compare as numbers, so [Amount] > 1000 works on a column your spreadsheet stored as text.
| Free | Pro | |
|---|---|---|
Every tool that reads a file (sheet_info, sheet_read, sheet_query, sheet_stats, sheet_find, sheet_add_column, sheet_convert) | Files up to 5 MB and 5,000 rows | No limit (up to the 50 MB file ceiling) |
sheet_write, sheet_add_column, sheet_convert | Up to 500 rows written per file; over that nothing is written and the tool says so | No limit |
| Sheets, formats, expression language | All | All |
Over a free read limit the tool still does the work and returns the part it is allowed to return (the first 5,000 rows), with a note saying what was left out. Over the free write limit nothing at all is written: a partial file that looks complete is worse than no file, so the tool refuses, tells you the row count and the cap, and suggests a free workaround (filter the rows down first, or write in 500-row batches). Nothing fails silently.
$19 one-time for this server, $39 for every server, lifetime: https://mcp.zovo.one/buy/spreadsheet
This server keeps no database of its own, it reads and writes the spreadsheet files you point it at, directly on your disk, and nothing else. Every write (sheet_write, sheet_add_column, sheet_convert in overwrite mode) goes to a temporary file in the same directory first, then is renamed into place, so an interrupted write leaves either the untouched original or the complete new file, never a truncated one. Because there is no shared state file, there is no advisory lock to take: two calls writing to two different output paths cannot collide, and a call to overwrite the same file twice in a row is simply two writes in sequence. To back up your data, back up the spreadsheet files themselves, there is nothing else to copy.
where/formula language is intentionally small: no regular expressions, no custom functions, no cross-sheet references in a single formula. It covers comparisons, boolean logic and arithmetic, nothing more.sheet_write with append or overwrite reads the whole workbook, swaps the sheet you named and writes every other sheet back, so Sheet2 and its data survive an append to Sheet1. What is *not* preserved is the sheet being written: it is rebuilt from values, so formulas, cell formatting, conditional formatting, charts, data validation and merged cells on that one sheet become plain values. Other sheets keep their cells as read. Take a copy first if the target sheet carries formatting you cannot recreate.1,250.00, 1 250.00, $1,250.00, 12,99, 1.234,56 and EUR 1 250,00 all read as numbers; a decimal comma is only accepted in the unambiguous shape (a comma with exactly two digits at the end, dots or spaces grouping). Anything that mixes separators another way (1,2500.00) stays tex