MCP server for step-by-step contemplative problem-solving based on a Lotus Sutra-inspired wisdom framework.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent โ or use 1-click editor setup below.
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๐ก Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Lotus Wisdom MCP.
tagCallable MCP tool function
contentCallable MCP tool function
stepNumberCallable MCP tool function
totalStepsCallable MCP tool function
nextStepNeededCallable MCP tool function
isMeditationCallable MCP tool function
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
contemplate, deep-inquiry) for one-step guided contemplative sessionsstructuredContent + outputSchema) alongside the text responsenpx) or a hosted remote ConnectorThis 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.
Note: The original prompt framework may work less effectively with newer Claude models, but this MCP server implementation provides consistent functionality across model versions.
The server implements a structured thinking process using wisdom domains inspired by the Lotus Sutra:
The server organizes thoughts using wisdom domains (all valid values for the tag input parameter):
Entry (๐ช): begin
Skillful Means (๐): upaya, expedient, direct, gradual, sudden
Non-Dual Recognition (โฏ๏ธ): recognize, transform, integrate, transcend, embody
Meta-Cognitive (๐ง ): examine, reflect, verify, refine, complete
Process Flow (๐): open, engage, express
Meditation (๐ง): meditate
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:
structuredContent + outputSchema) for programmatic consumersNote: 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.
tag='begin' to receive the full frameworkA 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 (string, required): The content of the current processing stepstepNumber (integer, required): Current number in sequencetotalSteps (integer, required): Estimated total steps needednextStepNeeded (boolean, required): Whether another step is neededisMeditation (boolean, optional): Whether this step is a meditative pausemeditationDuration (integer, optional): Duration for meditation in seconds (1-10)previousJourney (string, optional): The journey string from a previous response, e.g. "begin โ open โ examine". Lets the AI carry journey continuity forward in stateless clients (such as the remote Worker), where the server keeps no session state.Returns: both a JSON text block and matching structuredContent (validated against the tool's outputSchema):
FRAMEWORK_RECEIVED status (with the full framework) on the first begin stepMEDITATION_COMPLETE status for meditation stepsWISDOM_READY status when the contemplative process is completeThe tool also declares behavioral annotations โ readOnlyHint, idempotentHint, destructiveHint: false, openWorldHint: false โ so hosts can treat it as a safe, side-effect-free call.
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:
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 โ 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 โ argument topic: begins a longer inquiry that moves deliberately across the wisdom domains (process โ meta-cognitive โ non-dual โ meditation).The Lotus Wisdom tool is designed for:
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:
โ Returns FRAMEWORK_RECEIVED with full framework
When the tool returns status: 'WISDOM_READY', Claude then speaks the final wisdom naturally, integrating all the insights from the contemplative journey.
Install via Smithery for one-click setup, or follow the manual instructions below.
Requires Node.js 18+. The server runs locally via npx.
Add to your claude_desktop_config.json:
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