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。
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Lotus Wisdom

作者:linxule版本 0.9.1i★ –i电脑或云端
注册名称io.github.linxule/lotus-wisdom

安装

概览

作者提供的说明(英文原文)

Contemplative reasoning with Lotus Sutra wisdom framework and ext-apps visualization.

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。

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

你需要

  • 在云端运行无需安装任何东西,通过互联网连接
  • 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 …”。

适用于网页版、桌面版和手机版 Claude:

  1. 打开 Settings → Connectors
  2. 点击 Add custom connector
  3. 粘贴下面的地址,然后点击 Add
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Add2https://…3
https://lotus-wisdom-mcp.linxule.workers.dev/mcp

或者在你的电脑上运行

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

{
  "mcpServers": {
    "lotus-wisdom": {
      "command": "npx",
      "args": [
        "-y",
        "lotus-wisdom-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add --transport http lotus-wisdom https://lotus-wisdom-mcp.linxule.workers.dev/mcp

或者在你的电脑上运行

claude mcp add lotus-wisdom -- npx -y lotus-wisdom-mcp

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": {
    "lotus-wisdom": {
      "url": "https://lotus-wisdom-mcp.linxule.workers.dev/mcp"
    }
  }
}

或者在你的电脑上运行

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": {
    "lotus-wisdom": {
      "command": "npx",
      "args": [
        "-y",
        "lotus-wisdom-mcp"
      ]
    }
  }
}

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": {
    "lotus-wisdom": {
      "type": "http",
      "url": "https://lotus-wisdom-mcp.linxule.workers.dev/mcp"
    }
  }
}

或者在你的电脑上运行

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": {
    "lotus-wisdom": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "lotus-wisdom-mcp"
      ]
    }
  }
}

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。

ChatGPT 只能连接互联网上的服务器:

  1. 打开网页版 ChatGPT → Settings → Connectors (Apps)
  2. 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
  3. 粘贴下面的地址,起个名字,然后保存
  4. 如果要求登录,请登录作者的服务
SettingsConnectors1+ Create2https://…3
https://lotus-wisdom-mcp.linxule.workers.dev/mcp

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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

工具名称和描述与服务器在 2026年11月6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。

  • lotuswisdom

    Contemplative reasoning tool. Use for complex problems needing multi-perspective understanding, contradictions requiring integration, or questions holding their own wisdom. **Workflow:** Always start with tag='begin' (returns framework). Then continue with contemplation tags. Do

  • lotuswisdom_summary

    Get a summary of the current contemplative journey

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 linxule 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

  • ✓ 通过

    端点有响应

    在 218 毫秒内响应(HTTP 200)

  • – 不适用

    使用 OAuth 登录

    无需登录

  • ✓ 通过

    工具描述中没有隐藏指令

    已读取 2 个工具描述,未发现针对 AI 的隐藏指令

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32742 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32742 个服务器的 87% 更新
  • 基础检查结果等于或优于此分类中其他 32742 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

Lotus Wisdom 安全吗?

它在 3 项适用的基础检查中通过了 3 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?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

两种方式都可以:安装在你的电脑上,或者连接云端版本。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.9.1)于5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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Asset Notation

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Asset Notation

作者:assetnotation

Read and maintain an Asset Notation file on disk: net worth, holdings, valuations, CSV import.

在你的电脑上运行今天更新
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。

🪷 Lotus Wisdom MCP Server

An MCP server implementation that provides a tool for problem-solving using the Lotus Sutra's wisdom framework, combining analytical thinking with intuitive wisdom.

Available at: https://lotus-wisdom-mcp.linxule.workers.dev/mcp

Features

  • Multi-faceted problem-solving approach inspired by the Lotus Sutra
  • Step-by-step thought process with different thinking techniques
  • Meditation pauses to allow insights to emerge naturally
  • Interactive visualization via MCP ext-apps (Claude Desktop, Cursor, ChatGPT) — a pixel halo that lights one segment per step, in night and day variants that follow the host theme; keyboard-accessible and respects reduced motion
  • MCP Prompts (contemplate, deep-inquiry) for one-step guided contemplative sessions
  • Structured tool output (structuredContent + outputSchema) alongside the text response
  • Tracks both tag journey and wisdom domain movements
  • Available as a local stdio package (npx) or a hosted remote Connector
  • Final integration of insights into a clear response

Background

This MCP server was developed from the Lotus OS prompt, which was designed to implement a cognitive framework based on the Lotus Sutra. The MCP server format makes this framework more accessible and easier to use with Claude and other AI assistants.

The MCP server exposes the framework through tools and prompts. How well a model follows that framework depends on the model and host.

Implementation Details

The server implements a structured thinking process using wisdom domains inspired by the Lotus Sutra:

Wisdom Domains and Tags

The server organizes thoughts using wisdom domains (all valid values for the tag input parameter):

  • Entry (🚪): begin
  • Begin your journey here - receives the full framework before contemplation starts
  • Skillful Means (🔆): upaya, expedient, direct, gradual, sudden
  • Different approaches to truth - sometimes direct pointing, sometimes gradual unfolding
  • Non-Dual Recognition (☯️): recognize, transform, integrate, transcend, embody
  • Aspects of awakening to what's already present - recognition IS transformation
  • Meta-Cognitive (🧠): examine, reflect, verify, refine, complete
  • The mind watching its own understanding unfold
  • Process Flow (🌊): open, engage, express
  • A natural arc that can contain any of the above approaches
  • Meditation (🧘): meditate
  • Pausing to let insights emerge from stillness
Thought Visualization

In clients that support MCP ext-apps, each step renders inline as an interactive halo (see Interactive Visualization below). For every client, each step also returns:

  • Journey tracking showing both the tag path and the wisdom-domain movements
  • Domain-specific labels and the current contemplation text
  • Structured output (structuredContent + outputSchema) for programmatic consumers

Note: The local stdio server can emit per-step trace lines to its console (stderr) when run with LOTUS_DEBUG=true, helping developers follow the thinking process.

Process Flow
  1. The user submits a problem to solve
  2. The model begins with tag='begin' to receive the full framework
  3. The model continues with contemplation tags (open, examine, integrate, etc.)
  4. Each thought builds on previous ones and may revise understanding
  5. The tool tracks both the tag journey and wisdom domain movements
  6. Meditation pauses can be included for clarity
  7. When status='WISDOM_READY' is returned, the tool's work is complete
  8. The model then expresses the final wisdom naturally in its own voice

Available Tools

lotuswisdom

A tool for problem-solving using the Lotus Sutra's wisdom framework, with various approaches to understanding.

Begin your journey with `tag='begin'` - this returns the full framework (philosophy, domains, guidance) to ground your contemplation. Then continue with the other tags.

Inputs:

  • tag (string, required): The current processing technique (must be one of the tags listed above)
  • content (non-empty string, required): The content of the current processing step, including begin
  • stepNumber (integer, optional, default 1): Current number in sequence
  • totalSteps (integer, optional, default 5): Estimated total steps needed
  • nextStepNeeded (boolean, optional, default true): Whether another step is needed
  • isMeditation (boolean, optional): Whether this step is a meditative pause
  • meditationDuration (integer, optional): Duration for meditation in seconds (1-10)
  • previousJourney (string, optional): The journey string from a previous response, e.g. "begin → open → examine". Lets the AI carry journey continuity forward in stateless clients (such as the remote Worker), where the server keeps no session state.

Returns: a JSON text block and structuredContent validated against the tool's outputSchema. Every successful response includes journey for continuity, including begin and completion. Completion also retains finalJourney for compatibility. For begin, the full framework is in the text block; structured output contains its status, welcome, contemplation, journey, domain journey, and step counts. Other result variants retain their fields in both representations.

A meditation step with nextStepNeeded: false completes the inquiry with WISDOM_READY; ongoing meditation steps return MEDITATION_COMPLETE.

Response statuses include:

  • Processing status with current step information, wisdom domain, and journey tracking
  • FRAMEWORK_RECEIVED status on a begin step
  • MEDITATION_COMPLETE status for meditation steps
  • WISDOM_READY status when the contemplative process is complete

The tool declares readOnlyHint, idempotentHint, destructiveHint: false, and openWorldHint: false. These are host hints, not a guarantee of zero side effects: local stdio calls update the in-memory journey, and the hosted worker records usage analytics. The tools do not modify user files or external business data.

lotuswisdom_summary

Get a summary of the current contemplative journey.

Inputs:

  • previousJourney (string, optional): The journey string from a previous response, used to reconstruct the summary in stateless clients.

Returns:

  • Journey length
  • Domain journey showing movement between wisdom domains
  • Summary of all steps with their tags, domains, and brief content

MCP Prompts

The server registers two prompts that scaffold a guided contemplative session (surfaced as slash commands or prompt pickers in clients that support MCP Prompts):

  • `contemplate` — argument question: opens a single-question contemplation, instructing the model to start with tag='begin', iterate, and speak the wisdom only once status='WISDOM_READY'.
  • `deep-inquiry` — argument topic: begins a longer inquiry that moves deliberately across the wisdom domains (process → meta-cognitive → non-dual → meditation).

Usage

The Lotus Wisdom tool is designed for:

  • Breaking down complex problems requiring multi-faceted understanding
  • Questions that benefit from both direct and gradual approaches
  • Problems where apparent contradictions need integration
  • Situations requiring both analytical and intuitive understanding
  • Tasks that benefit from meditative pauses to allow insight
  • Questions containing their own inherent wisdom

Example Usage

Here's how a conversation with Claude might flow when using the Lotus Wisdom MCP server:

User: "Help me understand the relationship between freedom and responsibility."

Claude would begin the journey with tag='begin' to receive the framework, then continue:

  1. First, enter the contemplative space:
{

"tag": "begin", "content": "Entering contemplation on freedom and responsibility.", "stepNumber": 1, "totalSteps": 6, "nextStepNeeded": true }

→ Returns `FRAMEWORK_RECEIVED` with full framework
  1. Then, establish an opening thought:
{

"tag": "open", "content": "The question explores the relationship between freedom and responsibility, which contain an apparent tension but also deep connection.", "stepNumber": 2, "totalSteps": 6, "nextStepNeeded": true }

  1. Engage with different perspectives:
{

"tag": "direct", "content": "Freedom and responsibility are two sides of the same coin. True freedom isn't absence of constraints but the capacity to choose our response within constraints.", "stepNumber": 3, "totalSteps": 6, "nextStepNeeded": true }

  1. Perhaps take a meditation pause:
{

"tag": "meditate", "content": "Contemplating how freedom without responsibility becomes chaos, and responsibility without freedom becomes oppression.", "stepNumber": 4, "totalSteps": 6, "nextStepNeeded": true, "isMeditation": true }

  1. Integrate the understanding:
{

"tag": "integrate", "content": "Freedom and responsibility mutually enable each other. Our freedom to choose gives rise to our responsibility for what we choose, and our willingness to take responsibility expands our freedom.", "stepNumber": 5, "totalSteps": 6, "nextStepNeeded": true }

  1. Express the final understanding:
{

"tag": "express", "content": "The paradox resolves when we see that authentic freedom includes responsibility as its natural expression.", "stepNumber": 6, "totalSteps": 6, "nextStepNeeded": false }

When the tool returns status: 'WISDOM_READY', Claude then speaks the final wisdom naturally, integrating all the insights from the contemplative journey.

Installation

Install via Smithery for one-click setup, or follow the manual instructions below.

Requires Node.js 18+. The server runs locally via npx.

CLI Install (one-liner)
# Claude Code

claude mcp add lotus-wisdom -- npx -y lotus-wisdom-mcp

Codex CLI (OpenAI)

codex mcp add lotus-wisdom -- npx -y lotus-wisdom-mcp

Gemini CLI (Google)

gemini mcp add lotus-wisdom npx -y lotus-wisdom-mcp

Claude Desktop

Add to your claude_desktop_config.json:

OSConfig path
macOS~/Library/Application Support/Claude/claude_desktop_config.json
Windows%APPDATA%\Claude\claude_desktop_config.json
Linux~/.config/Claude/claude_desktop_config.json
{

"mcpServers": { "lotus-wisdom": { "command": "npx", "args": ["-y", "lotus-wisdom-mcp"] } } }

VS Code

Add to .vscode/mcp.json (workspace) or open Command Palette > MCP: Open User Configuration (global):

{

"servers": { "lotus-wisdom": { "command": "npx", "args": ["-y", "lotus-wisdom-mcp"] } } }

Note: VS Code uses "servers" as the top-level key, not "mcpServers". Other VS Code forks (Trae, Void, PearAI, etc.) typically use this same format.

Cursor

Add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project):

{

"mcpServers": { "lotus-wisdom": { "command": "npx", "args": ["-y", "lotus-wisdom-mcp"] } } }

Windsurf

Add to ~/.codeium/windsurf/mcp_config.json (Windows: %USERPROFILE%\.codeium\windsurf\mcp_config.json):

{

"mcpServers": { "lotus-wisdom": { "command": "npx", "args": ["-y", "lotus-wisdom-mcp"] } } }

Cline

Open MCP Servers icon in Cline panel > Configure > Advanced MCP Settings, then add:

{

"mcpServers": { "lotus-wisdom": { "command": "npx", "args": ["-y", "lotus-wisdom-mcp"] } } }

Cherry Studio

In Settings > MCP Servers > Add Server, set Type to STDIO, Command to npx,

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