
Lotus Wisdom MCP server
online · 100% uptimeContemplative reasoning with Lotus Sutra wisdom framework and ext-apps visualization.
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34 stars249 downloads/wk
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How Lotus Wisdom compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 88/100
- higher than 75% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 338 ms
- faster than 43% of 30,031 servers
- GitHub stars
- 34
- more than 92% of 28,688 servers
- Downloads a week
- 249
- more than 78% of 12,191 servers with a package
Release history: 5 versions in the registry since 2026-09-14, latest 2026-11-02, typically one every 14 days.
Install Lotus Wisdom in Claude Code, Cursor or VS Code
claude mcp add --transport http lotus-wisdom https://lotus-wisdom-mcp.linxule.workers.dev/mcp
What the publisher says
From the Lotus Wisdom repository's README, as published. We do not edit it. Read it on GitHub
🪷 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) — adapts to the host light/dark theme and is keyboard-accessible
- 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 "Living Trace" (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
- The user submits a problem to solve
- The model begins with tag='begin' to receive the full framework
- The model continues with contemplation tags (open, examine, integrate, etc.)
- Each thought builds on previous ones and may revise understanding
- The tool tracks both the tag journey and wisdom domain movements
- Meditation pauses can be included for clarity
- When status='WISDOM_READY' is returned, the tool's work is complete
- 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.
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Lotus Wisdom: common questions
- Is Lotus Wisdom MCP server safe?
- Yes, by our scan: it is graded A (88/100). Read the Lotus Wisdom safety report
- How do I install Lotus Wisdom?
- It runs remotely at lotus-wisdom-mcp.linxule.workers.dev. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Lotus Wisdom need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Lotus Wisdom maintained?
- The last commit was 37 days ago (2026-09-28). The latest release is v0.9.1.
- Is Lotus Wisdom up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- How does Lotus Wisdom compare with other MCP servers?
- safety score 88/100 (higher than 75% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 338 ms (faster than 43% of 30,031 servers). Full comparison.