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Lotus Wisdom MCP

by linxule

Guides multi-step problem solving with Lotus Sutra-inspired domains, meditation pauses, journey tracking, and structured MCP output.

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Install Lotus Wisdom MCP

Pick your client, then add it in one click or paste the config.

STDIONode.js
~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "linxule-lotus-wisdom-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "lotus-wisdom-mcp"
      ]
    }
  }
}

Settings → Developer → Edit Config, merge this into mcpServers, then fully quit and reopen Claude Desktop.

Install not yet sandbox-tested— we haven't run this command through our automated sandbox yet. Not a red flag; we're working through the catalog.

Overview

linxule/lotus-wisdom-mcp applies a Lotus Sutra-inspired framework to contemplative problem solving through the `lotuswisdom` and `lotuswisdom_summary` MCP tools. Models start with `begin`, move through tags such as `open`, `examine`, `integrate`, or `meditate`, and receive journey and wisdom-domain tracking at each step. It supports local stdio through `npx` and a hosted Cloudflare Worker endpoint, with MCP prompts and interactive visualizations available in compatible hosts. Reach for it when a question benefits from multiple perspectives, contradiction integration, analytical reflection, or deliberate pauses.

Use cases

  • Break down complex questions using several reasoning perspectives
  • Explore apparent contradictions and integrate competing views
  • Pause during an inquiry to allow reflective insight
  • Guide a model through analytical and intuitive problem solving

Key features

  • Lotus Sutra-inspired multi-domain reasoning workflow
  • Step-by-step tags with journey and domain tracking
  • Meditation pauses with completion statuses
  • Structured output validated by an MCP output schema
  • Guided MCP prompts for contemplation and deep inquiry
  • Local stdio and hosted Cloudflare Worker modes

Tools14

What Lotus Wisdom MCP lets your agent do. Expand a tool for its parameters.

Self-reported~39 tokens of context

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked 1d ago

Recent health check succeeded.

21/21 checks healthy over the last 90d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

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Scanned 4d ago via OSV.dev · lotus-wisdom-mcp (npm)

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars37Stargazers on the source repository.
npm downloads846Package downloads in the last 30 days.
Last commit5d agoMost recent push to the default branch.
Tools exposed14Callable tools this server registers over MCP.
Directory activity2 viewsConfig copies, upvotes, and views on AllMCPs.

How Lotus Wisdom MCP works

What linxule/lotus-wisdom-mcp does

linxule/lotus-wisdom-mcp exposes a contemplative problem-solving workflow based on a cognitive framework inspired by the Lotus Sutra. Rather than producing a single response immediately, the workflow gives a model a sequence of processing techniques and asks it to develop understanding across several steps.

The framework groups tags into wisdom domains. Skillful Means covers direct, gradual, sudden, and related approaches. Non-Dual Recognition addresses recognition, transformation, integration, transcendence, and embodiment. Meta-Cognitive tags support examination, reflection, verification, refinement, and completion. Process Flow includes opening, engaging, and expressing; meditation is represented by the meditate tag.

How it works

A model begins by calling lotuswisdom with tag='begin' and non-empty content. That first response supplies the framework for the inquiry and returns a FRAMEWORK_RECEIVED status. Subsequent calls carry the current tag, content, step number, estimated total steps, and whether another step is needed.

Each successful response includes a journey string and domain movement information. The optional previousJourney value lets a model continue the path when using the stateless hosted Worker. A meditation step can pause for one to ten seconds; an ongoing pause returns MEDITATION_COMPLETE, while a completed inquiry returns WISDOM_READY. The model is expected to express the final answer in its own voice after completion.

Setup and configuration

The server can run locally as an stdio package through npx, or remotely through the hosted MCP endpoint at https://lotus-wisdom-mcp.linxule.workers.dev/mcp. The remote form is suitable for clients that connect to hosted MCP servers, while the local form keeps the process on the developer's machine.

The LOTUS_DEBUG=true environment setting enables per-step trace lines from the local stdio process on stderr. These traces help inspect the thinking sequence without placing diagnostic output in the tool response.

Tools and capabilities

  • lotuswisdom processes one contemplative step and returns both JSON text and schema-validated structuredContent.
  • lotuswisdom_summary reconstructs a journey summary from previousJourney, including its length, domain path, tags, and brief step content.
  • The contemplate MCP prompt starts a guided, single-question session.
  • The deep-inquiry MCP prompt scaffolds a longer movement through process, meta-cognitive, non-dual, and meditation domains.
  • MCP ext-apps clients can display an interactive pixel halo with one segment illuminated per step. The visualization includes day and night variants, keyboard access, and reduced-motion support.
  • Tool responses expose domain labels, current contemplation text, journey tracking, status values, and an output schema for programmatic consumers.

Limitations and notes

The framework's results depend on how the connected model and host follow the process. The local server keeps journey information in memory; the hosted Worker does not retain session state, so callers should pass previousJourney when continuity is needed. Local calls do not modify user files or external business data, while the hosted Worker records usage analytics. Read-only and idempotency declarations are host hints rather than an absolute guarantee of side-effect-free execution.

Read the full README View source on GitHub

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Frequently Asked Questions about Lotus Wisdom MCP

linxule/lotus-wisdom-mcp is an MCP server that connects AI assistants to a Lotus Sutra-inspired contemplative reasoning framework. Its main tools, `lotuswisdom` and `lotuswisdom_summary`, guide multi-step inquiries, track wisdom-domain journeys, support meditation pauses, and return structured results for compatible MCP clients.

Run it locally as an stdio package through `npx`, or connect to the hosted MCP endpoint at `https://lotus-wisdom-mcp.linxule.workers.dev/mcp`. The local and remote forms expose the same contemplative workflow through MCP.

Yes, it works with Cursor. The repository names Cursor as an MCP ext-apps client, so it can use the server and display its interactive step visualization when the relevant host support is available.

Pass the `journey` string returned by an earlier response as the next call's `previousJourney` value. This lets the hosted, stateless Worker reconstruct continuity across contemplative steps.

It returns a summary of the contemplative journey, including its length, movement across wisdom domains, and each step's tag, domain, and brief content. In a stateless client, provide the prior response's `journey` string through `previousJourney`.

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