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slim-sheet

作者:j4flmao版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.j4flmao/slim-sheet

安装

概览

作者提供的说明(英文原文)

Spreadsheet MCP for any agent: reads xlsx/xls/ods/csv, SQL, cleaning, formulas, safe edits

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 文档、表格与办公
  • 你需要填写:SLIM_SHEET_PASSWORD

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: SLIM_SHEET_TIER, SLIM_SHEET_ROOTS, SLIM_SHEET_MAX_TOKENS, SLIM_SHEET_PASSWORD

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "slim-sheet": {
      "command": "uvx",
      "args": [
        "slim-sheet",
        "mcp"
      ],
      "env": {
        "SLIM_SHEET_TIER": "your-value",
        "SLIM_SHEET_ROOTS": "your-value",
        "SLIM_SHEET_MAX_TOKENS": "your-value",
        "SLIM_SHEET_PASSWORD": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add slim-sheet --env SLIM_SHEET_TIER=your-value --env SLIM_SHEET_ROOTS=your-value --env SLIM_SHEET_MAX_TOKENS=your-value --env SLIM_SHEET_PASSWORD=your-value -- uvx slim-sheet mcp

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "slim-sheet": {
      "command": "uvx",
      "args": [
        "slim-sheet",
        "mcp"
      ],
      "env": {
        "SLIM_SHEET_TIER": "your-value",
        "SLIM_SHEET_ROOTS": "your-value",
        "SLIM_SHEET_MAX_TOKENS": "your-value",
        "SLIM_SHEET_PASSWORD": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "slim-sheet": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "slim-sheet",
        "mcp"
      ],
      "env": {
        "SLIM_SHEET_TIER": "your-value",
        "SLIM_SHEET_ROOTS": "your-value",
        "SLIM_SHEET_MAX_TOKENS": "your-value",
        "SLIM_SHEET_PASSWORD": "your-value"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • SLIM_SHEET_TIER env
    Tool tier: full (28 tools, default), standard (16) or lite (7, for small local models)
  • SLIM_SHEET_ROOTS env
    Folders the server may read and write, separated by the OS path separator
  • SLIM_SHEET_MAX_TOKENS env
    Default response budget in tokens
  • SLIM_SHEET_PASSWORD 机密 env
    Password for encrypted workbooks (needs the crypto extra)

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。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 j4flmao 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 2194 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2194 个服务器的 78% 更新
  • 基础检查结果等于或优于此分类中其他 2194 个服务器的 100%

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。

常见问题

slim-sheet 安全吗?

它在 1 项适用的基础检查中通过了 1 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。

它需要哪些密钥或代码?

你需要填写:SLIM_SHEET_PASSWORD

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于8天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ 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

Agent-Native Calendar

作者:BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

在云端运行★ 7,620MIT2个月前更新
安装

Excel MCP Server

作者:haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

在你的电脑上运行★ 4,276MIT6天前更新
安装

MCP Server for Excel

作者:sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

在你的电脑上运行★ 847MIT4天前更新
安装

作者的 README

打开 README

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。

slim-sheet

A spreadsheet MCP server that small local models can actually use. It reads xlsx xlsm xltx xltm xlsb xls ods numbers csv tsv parquet json locally (no Office, no network), keeps every response under a token budget, and gives agents SQL, cleaning, anomaly detection, a formula copilot, Excel-correct editing and one-call branded dashboards — through 8, 18 or 30 tools depending on how capable the model is.

Works with Claude Desktop / Claude Code (Free or Pro), OpenCode, Codex, Cursor, Cline, Continue, LM Studio, Ollama (via mcpo or Open WebUI) — and as a plain CLI for agents without MCP.

Install

uvx slim-sheet mcp                          # MCP server over stdio

uvx slim-sheet overview sales.xlsx # or use any tool from the shell uvx --from "slim-sheet[all]" slim-sheet mcp # + offline formula engine, encrypted files, Apple Numbers

Host configuration for every client (Claude, Cursor, OpenCode, Codex, LM Studio, Ollama/mcpo, Open WebUI, Cline, Continue) is in docs/hosts.md.

{

"mcpServers": { "slim-sheet": { "command": "uvx", "args": ["slim-sheet", "mcp"], "env": { "SLIM_SHEET_TIER": "lite", "SLIM_SHEET_ROOTS": "/path/to/your/data" } } } }

Tiers

TierToolsFor
full (default)every tool belowany model that should be able to do everything
liteoverview, read, find, query, profile, write, explain_formula, build_report3B–8B local models
standardlite + clean, anomalies (+formula audit), merge, convert (+split), diff, undo, evaluate (+check), describe_cell (+trace), style_sheet, what_ifmid-size and frontier models
fullstandard + create_workbook, sheet_ops, range_ops, name_ops, format_range, set_table, rules, add_chart, sheet_layout, annotate, pivot, split, recalcfrontier models building workbooks

Pick exact tools with SLIM_SHEET_TOOLS=overview,read,query.

Design: professional output with almost no description

The model names *what* to show; slim-sheet decides *how* it looks — layout, colours, fonts, number formats, chart type, sort order and an insight title — from a brand. One call:

build_report(path="sales.xlsx", data_sheet="Sales", title="Sales performance 2025",

kpis=["Revenue=sum:Revenue", "Margin=ratio:Profit/Revenue", "Orders=count"], charts=["trend:Month:Revenue", "rank:Region:Revenue", "share:Product:Revenue"])

gives a one-page dashboard: KPI tiles with live formulas (7.1m · 20.4% · 144), a line titled "Revenue rose 58% from 2025-01 to 2025-12", a sorted bar with the leader highlighted, a labelled doughnut, a source footer. style_sheet(path, sheet, preset="report") does the same for any table and reports the number formats it inferred.

Your company's look, set once. Built-in brands: slim (default), office, modern (Aptos), mono (IBCS-style), gov (UK government statistics style). Or point SLIM_SHEET_BRAND at a JSON file — only name is required:

{ "name": "Acme", "primary": "#C8102E", "body_font": "Arial", "currency": "$", "profile": "finance" }

Every workbook then carries the brand as a real Office theme, so Excel's own table and chart styles follow it too. Rules behind the defaults (IBCS, finance colour coding, UK spreadsheet accessibility guidance, chart-choice tables): PLAN.md §16.

What makes it different

  • Reads everything with one interface, including .xls, .xlsb, .ods, Apple Numbers and password-protected xlsx.
  • Budgeted output: Markdown tables with A1 coordinates, ~1,500 tokens per response, next cursors to continue.
  • Errors that teach: every error has a code, a message and a corrected example call.
  • SQL over sheets with DuckDB; messy sheets are split into regions with detected headers ("Report.2").
  • Never destroys data: edits go to .slim.xlsx unless overwrite=true, writes are atomic, every replaced file is journaled, and undo steps back.
  • Excel-correct structure edits: inserting/deleting rows or renaming a sheet rewrites formulas, names, merges, validations, conditional formats, tables and charts the way Excel does.
  • Model checking: anomalies scope='formulas' finds hardcoded numbers, broken patterns, double counting and where an error starts; describe_cell trace= follows formulas across sheets; what_if runs delta, goal seek and sensitivity grids without touching the file.
  • Formula copilot: 514-function catalog, version checks (XLOOKUP in Excel 2016 → suggests INDEX/MATCH), offline evaluation with dependency chasing.
  • Macros, read-only: read sheet='#vba' shows VBA source, anomalies scope='macros' rates risk, and agents redo a macro's job with tools (prompt replace_macro). slim-sheet never runs macros.
  • Excel-exact formulas: newer functions are stored with Excel's _xlfn. prefixes and spilling formulas as real dynamic arrays, with a warning when something blocks the spill.
  • Flexible paths, safe by default: give any folder in chat (no config change); system folders, AppData, dot-folders such as .ssh and non-spreadsheet files are refused. Read-only SQL with file access locked, no model-written code is executed, no network.

Configuration

VariableDefaultMeaning
SLIM_SHEET_TIERfullfull, standard or lite
SLIM_SHEET_TOOLS—explicit comma-separated tool list
SLIM_SHEET_ROOTScurrent directorydefault folders for relative paths and overview() (; on Windows, : elsewhere)
SLIM_SHEET_STRICT_ROOTSoff1 = only paths inside SLIM_SHEET_ROOTS (the old allow-list)
SLIM_SHEET_MAX_TOKENS1500default response budget
SLIM_SHEET_TOKEN—bearer token for --transport streamable-http (required off loopback)
SLIM_SHEET_PASSWORD—password for encrypted workbooks (never passed through chat)
SLIM_SHEET_SOFFICEautodetectLibreOffice binary for recalc
SLIM_SHEET_AUDIT_LOG—JSONL audit log of every tool call (contents redacted)
SLIM_SHEET_RATE_LIMIT120HTTP tool calls per minute per client (0 = off)
SLIM_SHEET_MAX_CELLS3000000refuse workbooks declaring more cells (0 = off)
SLIM_SHEET_BRANDslimbrand name (slim, office, modern, mono, gov) or path to a brand .json

Extras: formula (offline evaluate and what_if), crypto (encrypted xlsx), numbers (Apple Numbers), images (insert pictures with annotate), all.

Prompt library

Ready-made, data-agnostic prompts — a shared CORE method, thirteen ROLES (nine analyst roles: sales, finance, marketing, customer, operations, HR, reconciliation, data quality, general; plus model auditor, workbook editor, macro migrator and file reviewer) and eight OUTPUT patterns (dashboard, dashboard pack, report workbook, clean dataset, reconciliation report, quick answer, audit report, edited workbook), with filled-in example sets, about 50 one-paste task recipes in 8 packs (finance, sales, HR, operations, data prep, Excel tasks, reporting, Vietnam) and compact blocks for small local models: docs/prompts.

Skill packs

skills/building-client-reports turns the tools into client-ready reports: a report brief, role presets (CFO, board, sales, marketing, operations, HR, market research), a standards checklist and evals. Copy it into ~/.claude/skills/ or attach it to any agent (skills/README.md).

Non-MCP hosts

slim-sheet schema --format openai --tier lite      # function-calling schemas for any OpenAI-compatible API

slim-sheet schema --format anthropic --tier full # Messages API tool definitions SLIM_SHEET_TOKEN=... slim-sheet mcp --transport streamable-http --host 0.0.0.0 --port 8765

Development

uv sync --all-extras

uv run pre-commit install # ruff, mypy, manifests, commit-message rule, tests on push uv run python scripts/make_demo.py # sample workbooks in ~/Documents/slim-sheet-demo uv run ruff check . && uv run ruff format --check . && uv run mypy src && uv run pytest -q

Issues and pull requests use the templates in .github/; security reports go through SECURITY.md.

Design and roadmap: PLAN.md · agent rules: AGENTS.md · MIT licensed.

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