原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Mindwtr

作者:dongdongbh版本 1.1.14i★ –i在你的电脑上运行
注册名称io.github.dongdongbh/mindwtr

安装

概览

作者提供的说明(英文原文)

Task automation via SQLite, desktop Local API, or Mindwtr Cloud; read-only by default.

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:MINDWTR_MCP_CLOUD_TOKEN, MINDWTR_MCP_API_TOKEN

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: MINDWTR_DB_PATH, MINDWTR_MCP_CLOUD_URL, MINDWTR_MCP_CLOUD_TOKEN, MINDWTR_MCP_API_URL, MINDWTR_MCP_API_TOKEN

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

  • npm已安装 Node.js(用于 npx 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": {
    "mindwtr": {
      "command": "npx",
      "args": [
        "-y",
        "mindwtr-mcp"
      ],
      "env": {
        "MINDWTR_DB_PATH": "your-value",
        "MINDWTR_MCP_CLOUD_URL": "your-value",
        "MINDWTR_MCP_CLOUD_TOKEN": "your-value",
        "MINDWTR_MCP_API_URL": "your-value",
        "MINDWTR_MCP_API_TOKEN": "your-value"
      }
    }
  }
}

在终端中运行这条命令

claude mcp add mindwtr --env MINDWTR_DB_PATH=your-value --env MINDWTR_MCP_CLOUD_URL=your-value --env MINDWTR_MCP_CLOUD_TOKEN=your-value --env MINDWTR_MCP_API_URL=your-value --env MINDWTR_MCP_API_TOKEN=your-value -- npx -y mindwtr-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": {
    "mindwtr": {
      "command": "npx",
      "args": [
        "-y",
        "mindwtr-mcp"
      ],
      "env": {
        "MINDWTR_DB_PATH": "your-value",
        "MINDWTR_MCP_CLOUD_URL": "your-value",
        "MINDWTR_MCP_CLOUD_TOKEN": "your-value",
        "MINDWTR_MCP_API_URL": "your-value",
        "MINDWTR_MCP_API_TOKEN": "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": {
    "mindwtr": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mindwtr-mcp"
      ],
      "env": {
        "MINDWTR_DB_PATH": "your-value",
        "MINDWTR_MCP_CLOUD_URL": "your-value",
        "MINDWTR_MCP_CLOUD_TOKEN": "your-value",
        "MINDWTR_MCP_API_URL": "your-value",
        "MINDWTR_MCP_API_TOKEN": "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

  • MINDWTR_DB_PATH env
    Optional path to the local Mindwtr SQLite database.
  • MINDWTR_MCP_CLOUD_URL env
    Optional self-hosted Mindwtr Cloud base URL for Cloud mode.
  • MINDWTR_MCP_CLOUD_TOKEN 机密 env
    Bearer token for self-hosted Mindwtr Cloud mode.
  • MINDWTR_MCP_API_URL env
    Desktop Local API origin, e.g. http://127.0.0.1:3456. Selects API mode.
  • MINDWTR_MCP_API_TOKEN 机密 env
    Bearer token from the desktop Local API settings; required in API mode.

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 dongdongbh 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 3527 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3527 个服务器的 90% 更新
  • 基础检查结果等于或优于此分类中其他 3527 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

Mindwtr 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:MINDWTR_MCP_CLOUD_TOKEN, MINDWTR_MCP_API_TOKEN

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(1.1.14)于3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 Node.js。

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★ 4,276MIT7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。

Mindwtr MCP Server

MCP server for Mindwtr. Connect MCP clients (Claude Desktop, etc.) to your local SQLite database, the desktop Local API, or a self-hosted Mindwtr Cloud endpoint.

By default this is a stdio server: MCP clients launch it as a subprocess and talk over JSON-RPC on stdin/stdout. It also has an opt-in HTTP transport (see Remote access (HTTP)) for self-hosters who want to expose it at a URL instead.


App Binaries vs. MCP Helper

The desktop app includes a built-in MCP server in Settings → Integrations → Local MCP server (advanced). It requires no separately installed runtime or helper. The desktop installer does not add a standalone mindwtr-mcp command to your PATH; mobile apps do not host MCP.

You do not need to run the whole app from source to use MCP. You can use the normal desktop app binary for your tasks, then run this separate MCP helper from the repository with Bun, or build the helper once and run it with Node. Point the helper at the desktop app's local mindwtr.db, or use the Local API backend below.

On desktop, find the database in the default database locations listed under Requirements. Mobile binaries do not expose a local MCP server surface.


Requirements

These requirements apply to the standalone helper, not the built-in desktop server.

  • Node.js 20+ to run the helper. Prefer Node.js 22+ for prebuilt SQLite binaries on supported platforms; Node 20 requires a native build toolchain.
  • Node-based SQLite mode uses the optional better-sqlite3 native addon. API-only installs can omit it with --omit=optional. If no prebuilt binary is available for your platform, npm needs a working C/C++ build toolchain and Python for node-gyp.
  • Bun (recommended for development in this repo)
  • A local database (mindwtr.db) for SQLite mode, a running desktop Local API and bearer token for API mode, or a self-hosted Mindwtr Cloud URL and bearer token for Cloud mode

For SQLite mode with npm 12, approve the SQLite dependency's install script; otherwise a successful install can still fail at startup with a missing native binding. For npx or global installs, allow only better-sqlite3:

npx --allow-scripts=better-sqlite3 -y mindwtr-mcp --db "/path/to/mindwtr.db"

npm install -g --allow-scripts=better-sqlite3 mindwtr-mcp

In MCP client configurations using npx, add "--allow-scripts=better-sqlite3" before "mindwtr-mcp" in args. For an existing project-local install, run npm install-scripts approve better-sqlite3, then npm rebuild better-sqlite3 from that project. Review the dependency before approving; do not enable all dependency scripts.

Default database locations. The installed Windows and macOS apps keep the database in a data subfolder from version 1.3.2 on; Linux and the portable builds are unchanged. The server looks in both places, so it finds the database either way.

  • Linux: ~/.local/share/mindwtr/mindwtr.db (Flatpak: ~/.var/app/tech.dongdongbh.mindwtr/data/mindwtr/mindwtr.db; Snap: ~/snap/mindwtr/current/.local/share/mindwtr/mindwtr.db)
  • macOS, 1.3.2 and later: ~/Library/Application Support/mindwtr/data/mindwtr.db
  • macOS, 1.3.1 and earlier: ~/Library/Application Support/mindwtr/mindwtr.db
  • Windows, 1.3.2 and later: %APPDATA%\mindwtr\data\mindwtr.db
  • Windows, 1.3.1 and earlier: %APPDATA%\mindwtr\mindwtr.db

Additional macOS paths for sandboxed builds:

  • 1.3.2 and later: ~/Library/Containers/tech.dongdongbh.mindwtr/Data/Library/Application Support/mindwtr/data/mindwtr.db
  • 1.3.1 and earlier: ~/Library/Containers/tech.dongdongbh.mindwtr/Data/Library/Application Support/mindwtr/mindwtr.db

A --db path pinned in an MCP client configuration keeps working across that move: if the file is not at the configured path, the server checks the matching data subfolder (or the parent folder) and reports on stderr which database it opened.

If mindwtr.db is missing but data.json exists in the same desktop data folder, the MCP server will bootstrap a fresh SQLite database from that local data snapshot on first start. The desktop data folder is the folder that holds mindwtr.db in the default locations above.

You can override local mode with:

  • --db /path/to/mindwtr.db
  • MINDWTR_DB_PATH=/path/to/mindwtr.db
  • MINDWTR_DB=/path/to/mindwtr.db

For self-hosted Cloud mode, use:

  • --cloud-url https://mindwtr.example.com or MINDWTR_MCP_CLOUD_URL
  • --cloud-token or MINDWTR_MCP_CLOUD_TOKEN
  • optional --cloud-allow-insecure-http=true for trusted private HTTP deployments

Start / Stop

Run from npm

After installing the published package, run it directly:

mindwtr-mcp --db "/path/to/mindwtr.db"

Or let an MCP client launch it through npx:

{

"mcpServers": { "mindwtr": { "command": "npx", "args": [ "-y", "mindwtr-mcp", "--db", "~/.local/share/mindwtr/mindwtr.db" ] } } }

The npm package is read-only by default. Add --write only when you explicitly want add/update/complete/delete tools enabled.

Desktop Local API mode

Requires mindwtr-mcp 1.1.11 or later.

Enable the desktop app's Local API in Settings and copy its bearer token. Keep the app and API running. This backend uses the app's REST endpoints and never opens a database or falls back to SQLite.

For an API-only installation, omit the optional native SQLite addon:

npm install -g --omit=optional mindwtr-mcp

Configure your MCP client to pass the token through its environment, rather than putting it in command-line arguments:

{

"command": "mindwtr-mcp", "args": ["--api-url", "http://127.0.0.1:3456"], "env": { "MINDWTR_MCP_API_TOKEN": " " } }

Use the port shown in Settings. MINDWTR_MCP_API_URL can replace --api-url. URLs must use literal 127.0.0.1 or [::1], with no credentials, path, query or fragment; redirects are refused. Do not combine API and Cloud/--db options. Existing database-path environment variables are ignored in API mode.

Writes remain disabled unless explicitly enabled with --write. If the app is closed or the token is invalid, the helper returns an error. A timed-out write may have reached the app: inspect the task before retrying, as the helper does not retry writes automatically.

Desktop 1.3.8 adds optional protection for task creation and edits in Local API mode:

  • mindwtr_add_task accepts idempotencyKey, 1–128 visible ASCII characters without spaces. Keep the same key and identical input when retrying an uncertain create, including attachment links. The desktop retains the original result for seven days, even if that task is later edited or deleted. Different input with the same key returns idempotency_conflict. A full receipt store returns idempotency_capacity; retry later with the same key and input.
  • mindwtr_get_task, task creation, and task edits return { "task": { ... }, "version": "sha256-..." }. Pass the version unchanged as expectedVersion to mindwtr_update_task. A stale edit returns task_version_conflict; read the task again and review the changes before retrying. An edit that changes nothing preserves the version.

Both arguments are optional. Without them, writes keep their existing behavior. Protected requests use versioned desktop endpoints and fail on older desktop versions without falling back to an unprotected write. Older desktop reads can omit version. These arguments are unavailable in Cloud and direct SQLite mode; unsupported task input fields are rejected. Attachment replacement and lifecycle restrictions below still apply.

MCP capabilityDesktop Local API support
List/get tasksSupported, including rich search operators, date filters, sorting and pagination
Create tasksExplicit title and fields; quickAdd is unavailable
Update/complete/delete/restore tasksSupported through the API's corresponding endpoints; terminal status changes cannot be submitted as ordinary edits
List/get/create/update/delete projectsSupported for the API's basic project fields: title, color, status, Area and sequential behavior
List areasSupported
View section catalogue and project assignmentsUnavailable; task assignments by known ID are supported
Sections, managed people, Area writesUnavailable; these tools are hidden in API mode
GTD availability viewUnavailable because the API does not expose the required section snapshot
Replacing attachment linksUnavailable because the API does not provide conditional attachment updates

Other unsupported fields are rejected before a write. The desktop API's recurrence limitations also apply; some recurring completions must be performed in the app. This backend does not promise full SQLite/Cloud tool parity.

--api-url selects the helper's data source. --http instead selects how an MCP client connects to the helper; it can be used with any backend and has a separate authentication token.

Self-hosted Cloud mode

Use Cloud mode when you run your own Mindwtr Cloud server and want MCP tools without pointing the helper at a local SQLite database:

npx -y mindwtr-mcp \

--cloud-url "https://mindwtr.example.com" \ --cloud-token "$MINDWTR_TOKEN"

Or pass the same values through environment variables:

MINDWTR_MCP_CLOUD_URL="https://mindwtr.example.com" \

MINDWTR_MCP_CLOUD_TOKEN="$MINDWTR_TOKEN" \ npx -y mindwtr-mcp

Cloud mode uses the self-hosted Cloud API. Reads come from the current /v1/data snapshot; with --write, task/project/section/area writes go through the Cloud server's per-resource REST endpoints (POST /v1/tasks, PATCH /v1/tasks/:id, and so on), so they get the same validation and revision stamping as any other client. Without --write, write tools return read_only. Person edits and restoring deleted tasks are not available in Cloud mode yet.

This does not make Mindwtr Cloud itself a hosted MCP server. It is still the same stdio helper, backed by a Cloud URL that you operate.

For private HTTP test deployments, local/private HTTP URLs are allowed by the shared Cloud client rules. Use --cloud-allow-insecure-http=true only for a self-hosted endpoint you intentionally trust.

Remote access (HTTP)

By default mindwtr-mcp only speaks stdio. Pass --http to also (instead of stdio) serve a stateless streamable-HTTP MCP endpoint, so you can point a remote MCP client at a URL — the motivating case is Gemini Spark "custom apps", which take an MCP server URL. HTTP mode works with all three backends.

mindwtr-mcp --http --http-token "$(openssl rand -hex 32)" --db "/path/to/mindwtr.db"

Flags (all have MINDWTR_MCP_HTTP* env var equivalents):

  • --http / MINDWTR_MCP_HTTP — enable HTTP mode. Also implied by setting --http-host, --http-port, or --http-token.
  • --http-token / MINDWTR_MCP_HTTP_TOKEN — required whenever HTTP mode is on, at least 16 characters. Generate one with openssl rand -hex 32. The server refuses to start without it — there is no way to expose HTTP mode unauthenticated, even on loopback.
  • --http-host / MINDWTR_MCP_HTTP_HOST — bind address, default 127.0.0.1.
  • --http-port / MINDWTR_MCP_HTTP_PORT — bind port, default 8722.

The desktop app's built-in MCP server also uses port 8722. If it is on, pass another port with --http-port, for example --http-port 8723.

The MCP endpoint is POST /mcp and requires Authorization: Bearer on every request; GET /healthz returns 200 ok without auth for reverse-proxy health checks. Requests without a valid token get 401; repeated authentication failures get 429 with a Retry-After header. Bodies over 1 MiB get 413. When HTTP mode is on, the server does not also connect a stdio transport — it

只显示了开头部分;其余内容请在仓库中阅读

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