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Wisdom Layer MCP

by PV-Bhat
GitHub
TypeScript
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Integrations

  • Leverages Google's LearnLM/Gemini API to provide metacognitive guidance for Claude, analyzing thinking processes and offering targeted advice to improve reasoning outcomes.

Wisdom Layer MCP

A metacognitive advisor for Claude powered by LearnLM.

Overview

The Wisdom Layer MCP is a specialized Model Context Protocol server designed to enhance Claude's reasoning capabilities. It creates a "wisdom layer" that acts as a strategic questioner, advisor, and complexity reducer for Claude, helping it to avoid recurring mistakes and achieve better results.

Features

  • Strategic Metacognitive Advisor: Analyzes Claude's thinking process and provides targeted advice
  • Plan Distillation: Forces ultra-simplified summaries for clarity and focus
  • Mistake Tracking: Learns from past mistakes to avoid future ones
  • LearnLM Integration: Powered by Google's LearnLM/Gemini API for metacognitive guidance

Tools

1. wisdom_advise

A constraint-free strategic advisor that works like a challenging mentor:

  • Takes raw, unfiltered context to avoid Claude's cognitive biases
  • Provides user alignment checks and complexity reduction
  • Offers pattern-breaking questions and perspectives
  • Suggests appropriate MCP tools to use
  • Learns from past mistake patterns
<use_mcp_tool> <server_name>wisdom</server_name> <tool_name>wisdom_advise</tool_name> <arguments> { "plan": "My current plan is...", "userRequest": "Original request from user", "thinkingLog": "Raw sequential thinking output", "availableTools": ["tool1", "tool2"] } </arguments> </use_mcp_tool>

2. wisdom_canvas

A distillation tool for final plans:

  • Forces ultra-simplified plan representation
  • Includes "why" section to justify approach
  • Creates a checkpoint before implementation
  • Serves as a reference during execution
<use_mcp_tool> <server_name>wisdom</server_name> <tool_name>wisdom_canvas</tool_name> <arguments> { "plan": "Detailed plan to distill", "userRequest": "Original request from user" } </arguments> </use_mcp_tool>

3. wisdom_log

A mistake tracking system:

  • One-sentence descriptions of mistakes made and corrected
  • Categorizes and tallies recurring mistakes
  • Creates a persistent learning feedback loop
  • Read by LearnLM to provide targeted guidance
<use_mcp_tool> <server_name>wisdom</server_name> <tool_name>wisdom_log</tool_name> <arguments> { "mistake": "One-sentence description of the mistake", "category": "mistake-category", "solution": "How it was corrected" } </arguments> </use_mcp_tool>

Installation

Prerequisites

  • Node.js (v18.0.0 or higher)
  • npm (v7.0.0 or higher)
  • A Gemini API key for LearnLM functionality

Installation Steps

# Install globally npm install -g wisdom-layer-mcp # Or run directly npx wisdom-layer-mcp

MCP Configuration

Add the server to your MCP settings file. For Claude/Cline, this is typically located at:

  • For Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS)
  • For VSCode Cline: ~/.config/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json (Linux)

Add the following configuration:

{ "mcpServers": { "wisdom": { "command": "wisdom-layer-mcp", "args": [], "env": { "GEMINI_API_KEY": "your-gemini-api-key" }, "disabled": false, "autoApprove": [] } } }

Usage Pattern

The ideal usage pattern for Claude:

  1. Claude uses sequential thinking to formulate an initial plan
  2. Claude calls wisdom_advise with raw context
  3. Claude refines its approach based on LearnLM's advice
  4. Claude finalizes with wisdom_canvas for ultra-clarity
  5. Claude implements the solution
  6. Claude logs any lessons learned in wisdom_log

This creates a metacognitive layer that helps Claude think better about its own thinking.

Development

# Clone the repository git clone https://github.com/yourusername/wisdom-layer-mcp.git cd wisdom-layer-mcp # Install dependencies npm install # Build npm run build # Start development mode npm run dev

License

MIT

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hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A metacognitive advisor for Claude that provides strategic guidance, plan distillation, and mistake tracking to enhance Claude's reasoning capabilities.

  1. Overview
    1. Features
      1. Tools
        1. 1. wisdom_advise
        2. 2. wisdom_canvas
        3. 3. wisdom_log
      2. Installation
        1. Prerequisites
        2. Installation Steps
        3. MCP Configuration
      3. Usage Pattern
        1. Development
          1. License

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