Advanced Reasoning MCP Server

An elegant, self-contained MCP server that builds on the sequential thinking pattern with advanced cognitive capabilities including meta-reasoning, hypothesis testing, integrated memory libraries, and structured data storage.

🧠 Features

Meta-Cognitive Assessment: Confidence tracking and reasoning quality evaluation
Hypothesis Testing: Systematic formulation, testing, and validation of hypotheses
Integrated Memory Libraries: Graph-based memory with named library management for different contexts
SystemJSON Storage: Structured data storage for workflows, instructions, and domain-specific knowledge
Enhanced Visualization: Rich console output with confidence bars and quality indicators

🚀 Quick Start

Installation

cd /advanced-reasoning-mcp npm install npm run build

Usage

MCP Client Integration

Add to your MCP client configuration:

{ "mcpServers": { "advanced-reasoning": { "command": "node", "args": ["/path-to/advanced-reasoning-mcp/build/index.js"] } } }

🔧 Tools

Core Reasoning

`advanced_reasoning`

Enhanced reasoning with cognitive features:

All sequential thinking capabilities (branching, revisions, dynamic thought counts)
Confidence tracking (0.0-1.0)
Reasoning quality assessment (low/medium/high)
Meta-cognitive reflection
Hypothesis formulation and testing
Evidence tracking and validation
Memory integration with session context

`query_reasoning_memory`

Search integrated memory:

Find related insights and hypotheses
Discover connections between ideas
Build on previous reasoning sessions
Context-aware memory retrieval

Memory Library Management

`create_memory_library`

Create named memory libraries for organized knowledge:

Separate libraries for different projects/domains
Clean architectural separation
Library name validation

`list_memory_libraries`

List all available memory libraries:

Shows library metadata (name, size, last modified)
Organized, searchable library information

`switch_memory_library`

Switch between different memory libraries:

Maintains session state during switches
Context-aware library management

`get_current_library_info`

Get information about currently active library:

Current library name and statistics
Node count and session information

SystemJSON Structured Storage

`create_system_json`

Create structured data storage for workflows and instructions:

Domain categorization
Searchable content with tags
JSON-serializable data storage
Atomic write operations with validation

`get_system_json`

Retrieve structured data by name:

Complete data retrieval with metadata
Timestamp and modification tracking

`search_system_json`

Search through structured data:

Relevance scoring and ranking
Multi-field search capability

`list_system_json`

List all available structured data files:

Organized by domain and description
Complete metadata overview

📝 Example Usage

Basic Advanced Reasoning

// Create a new memory library for this project const library = await callTool("create_memory_library", { library_name: "database_optimization" }); // Advanced reasoning with meta-cognition (no session creation needed) const result = await callTool("advanced_reasoning", { thought: "I need to analyze the query execution plan first", thoughtNumber: 1, totalThoughts: 5, nextThoughtNeeded: true, confidence: 0.8, reasoning_quality: "high", meta_thought: "This is a logical first step, high confidence approach", goal: "Optimize database query performance" });

Hypothesis Testing

const result = await callTool("advanced_reasoning", { thought: "The bottleneck appears to be in the JOIN operations", thoughtNumber: 2, totalThoughts: 5, nextThoughtNeeded: true, confidence: 0.6, reasoning_quality: "medium", meta_thought: "Need to verify this with actual data", hypothesis: "JOIN operations are causing 80% of query time", test_plan: "Run EXPLAIN ANALYZE and check execution times" });

Memory Integration

// Query related memories (no session_id needed) const memories = await callTool("query_reasoning_memory", { query: "database optimization techniques" });

SystemJSON Usage

// Store a workflow for reuse const workflow = await callTool("create_system_json", { name: "api_testing_workflow", domain: "software_development", description: "Complete API testing methodology", data: { phases: ["setup", "unit_tests", "integration_tests", "performance_tests"], tools: ["jest", "supertest", "newman"], checklist: ["auth validation", "error handling", "rate limiting"] }, tags: ["testing", "api", "workflow"] }); // Retrieve the workflow later const storedWorkflow = await callTool("get_system_json", { name: "api_testing_workflow" });

🏗️ Architecture

Built on proven sequential thinking with dual storage systems:

┌─────────────────────────────────────────────────────────────┐ │ MCP Interface │ ├─────────────────────────────────────────────────────────────┤ │ Advanced Reasoning Server │ │ │ │ ┌──────────────────┐ ┌──────────────────┐ │ │ │ CognitiveMemory │ │ SystemJSON │ │ │ │ (Graph-Based) │ │ (Document-Based) │ │ │ │ │ │ │ │ │ │ • Named Libraries │ │ • Domain-Indexed │ │ │ │ • Session Context │ │ • Searchable │ │ │ │ • Node Relations │ │ • Tagged Content │ │ │ │ • Hypothesis │ │ • Workflows │ │ │ │ Tracking │ │ • Instructions │ │ │ └──────────────────┘ └──────────────────┘ │ │ │ │ │ │ ┌──────────────────┐ ┌──────────────────┐ │ │ │ Meta-Cognitive │ │ Enhanced │ │ │ │ Assessment │ │ Sequential │ │ │ │ │ │ Thinking │ │ │ │ • Confidence │ │ │ │ │ │ • Quality Rating │ │ • Branching │ │ │ │ • Evidence │ │ • Revisions │ │ │ │ • Hypothesis │ │ • Dynamic Counts │ │ │ │ Testing │ │ • Meta-Thoughts │ │ │ └──────────────────┘ └──────────────────┘ │ └─────────────────────────────────────────────────────────────┘

🎯 Advanced Features

Meta-Cognitive Assessment

Confidence Tracking: Self-assessment of reasoning certainty (0.0-1.0)
Quality Evaluation: Low/medium/high reasoning quality indicators
Meta-Thoughts: Reflection on the reasoning process itself
Evidence Integration: Systematic collection and validation

Hypothesis Testing Framework

Hypothesis Formulation: Explicit statement of working theories
Test Planning: Define validation/refutation strategies
Evidence Tracking: Collect supporting/contradicting evidence
Result Integration: Incorporate test outcomes into reasoning

Dual Storage Architecture

CognitiveMemory (Graph-Based)

Named Libraries: Separate contexts for different projects
Graph Storage: Connected thoughts, hypotheses, evidence
Session Management: Persistent reasoning contexts
Memory Queries: Find relevant insights across sessions
Storage: memory_data/{library_name}.json

SystemJSON (Document-Based)

Structured Storage: JSON-serializable workflows and instructions
Domain Organization: Categorized by domain/purpose
Search & Discovery: Full-text search with relevance scoring
Tag System: Flexible content organization
Storage: memory_data/system_json/{name}.json

Enhanced Visualization

Confidence Bars: Visual certainty representation
Quality Indicators: Color-coded reasoning assessment
Rich Formatting: Clear structure for complex reasoning
Meta-Information: Display confidence, quality, connections

🔄 Compatibility

Fully compatible with sequential thinking patterns:

All branching and revision capabilities preserved
Dynamic thought count adjustment supported
Familiar parameter structure with optional enhancements
Backward compatible with existing sequential thinking workflows

📊 Benefits Over Sequential Thinking

Self-Awareness: Track confidence and reasoning quality
Systematic Validation: Explicit hypothesis testing framework
Organized Memory: Named libraries for different contexts
Structured Storage: Workflows and instructions as searchable data
Enhanced Clarity: Rich visualization of reasoning process
Progress Tracking: Monitor advancement toward defined goals
Evidence-Based: Systematic collection and evaluation of evidence

🗂️ File Structure

memory_data/ ├── cognitive_memory.json # Default reasoning library ├── {library_name}.json # Named reasoning libraries └── system_json/ # Structured data storage ├── {workflow_name}.json # Workflow definitions ├── {instruction_set}.json # Instruction sets └── {domain_data}.json # Domain-specific data

📚 Use Cases

Memory Libraries

Project-specific reasoning: Separate libraries per project
Domain expertise: Different libraries for different knowledge domains
Context switching: Clean separation between reasoning contexts

SystemJSON Storage

Workflow documentation: Store reusable process definitions
Instruction sets: Step-by-step procedures and guidelines
Domain knowledge: Structured information for specific fields
Configuration data: Settings and parameters for different scenarios

This server transforms sequential thinking into a sophisticated dual-storage cognitive reasoning system, providing both graph-based memory for reasoning sessions and structured document storage for workflows and instructions, while maintaining the elegant simplicity that made the original sequential thinking pattern so effective.

Made by angrysky56 (Ty Hall) and Claude

License- MIT

Deploy Server

HTTP connection URL

security – no known vulnerabilities

license - permissive license

quality - confirmed to work

How are these scores calculated?

hybrid server

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

Tools

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An MCP server that enhances sequential thinking with meta-cognitive capabilities including confidence tracking, hypothesis testing, and organized memory storage through graph-based libraries and structured JSON documents.

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