MetaCog MCP Server

Multi-strategy reasoning and problem-solving server implementing the Model Context Protocol. Provides structured cognitive processing with 20+ reasoning strategies, cognitive state management, and unified reasoning chains.

Overview

The MetaCognition MCP Server orchestrates multiple reasoning strategies for complex problem-solving and analysis. It manages reasoning chains, cognitive states, and provides tools for autonomous decision-making, debugging, research, and optimization.

Core Features

• Multi-Strategy Reasoning: 20+ specialized strategies including Abductive, Bayesian, Causal, Sequential, Financial, and Ethical reasoning
• Cognitive State Management: Parallel hypothesis exploration with superposition states and resolution mechanisms
• Reasoning Chain Orchestration: Sequential strategy execution with convergence optimization
• Thought Management: Dynamic branching, revision, and refinement of reasoning paths
• MCP Protocol Compliance: Full WebSocket/stdio transport integration

Available Tools

| Tool | Function | |------|----------| | metacognition | Multi-strategy reasoning and cognitive state management | | autonomous | Decision engine with comprehensive strategy orchestration | | debugger | Code analysis and error resolution | | markdown_master | Markdown content creation and refactoring | | research_pro | Research synthesis with online search integration | | deep_analysis | Codebase and system analysis | | optimus_prime | Performance and resource optimization | | wildcard | Dynamic strategy selection |

Reasoning Strategies

Logical: Abductive, Deductive, Inductive, Analogical, ForwardChaining, BackwardChaining, Defeasible
Probabilistic: Bayesian, FuzzyLogic
Structural: PatternAnalysis, ConstraintSatisfaction
Causal: Causal, Counterfactual, Empirical
Specialized: Financial, Ethical, Sequential, CaseBased, HypothesisGeneration
Control: MetacognitiveControl

Installation

NPM

npm install @modelcontextprotocol/metacog
npm run build
npm start

Docker

docker build -t mcp/metacog
docker run --rm -i mcp/metacog

Configuration

Claude Desktop

{
  "mcpServers": {
    "metacognition": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/metacog"]
    }
  }
}

VS Code MCP

{
  "mcp": {
    "servers": {
      "metacognition": {
        "command": "npx",
        "args": ["-y", "@modelcontextprotocol/metacog"]
      }
    }
  }
}

Usage Examples

Basic Strategy Application

{
  "thought": "Analyzing market data for trend identification",
  "thoughtNumber": 1,
  "totalThoughts": 3,
  "nextThoughtNeeded": true,
  "strategy": "Bayesian",
  "strategy_input_data": {
    "prior": 0.6,
    "evidence_threshold": 0.8
  }
}

Cognitive Superposition

{
  "thought": "Exploring multiple causal hypotheses",
  "thoughtNumber": 1,
  "totalThoughts": 4,
  "nextThoughtNeeded": true,
  "cognitive_superposition_concepts": [
    "supply chain disruption",
    "demand fluctuation", 
    "competitive pressure",
    "regulatory changes"
  ]
}

Unified Reasoning Chain

{
  "thought": "Comprehensive problem analysis",
  "thoughtNumber": 1,
  "totalThoughts": 1,
  "nextThoughtNeeded": false,
  "unified_reasoning_chain": true,
  "strategies": ["Causal", "Bayesian", "Sequential"],
  "convergence_target": 0.95,
  "cognitive_enhancement": true
}

API Reference

Core Inputs

• thought (string): Current reasoning step or analysis
• thoughtNumber (integer): Current step number
• totalThoughts (integer): Estimated total steps (adjustable)
• nextThoughtNeeded (boolean): Whether additional steps are required

Advanced Features

• cognitive_superposition_concepts (array): Create parallel hypothesis states
• cognitive_resolve_state_id (string): Collapse superposition to single concept
• strategy (enum): Select specific reasoning strategy
• unified_reasoning_chain (boolean): Execute multi-strategy reasoning
• convergence_target (number): Target confidence level (0.0-1.0)

Strategy Parameters

Different strategies accept specific input parameters via strategy_input_data:

• Bayesian: { prior: number, evidence_threshold: number }
• Causal: { cause: string, effect: string }
• Counterfactual: { original_condition: string, altered_condition: string }
• Financial: { market_data: object, risk_tolerance: number }
• Sequential: { time_horizon: string, world_branches: boolean }

Environment Variables

• DISABLE_THOUGHT_LOGGING: Disable console output of reasoning steps
• COGNITIVE_ENHANCEMENT: Enable/disable cognitive superposition features
• CONVERGENCE_TARGET: Default convergence threshold for reasoning chains

Development

Prerequisites

• Node.js 18+
• TypeScript 4.9+

Build

npm install
npm run build
npm test

Testing

npm run test:strategies    # Strategy validation
npm run test:cognitive     # Cognitive features
npm run benchmark          # Performance tests

License

MIT & Apache-2.0