retrieval-augmented-thinking
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The Retrieval-Augmented Thinking MCP Server is an advanced server implementation designed to improve AI model reasoning and problem-solving capabilities using structured, retrieval-augmented thinking processes. It supports adaptive thought chains, hypothesis generation, and dynamic scope adjustments to enhance logical analysis.
Retrieval-Augmented Thinking MCP Server
An MCP server implementation that enhances AI model capabilities with structured, retrieval-augmented thinking processes. It offers features such as adaptive thought chains, iterative hypothesis generation, and dynamic scope adjustment for enhancing reasoning and problem-solving.
Features
- Adaptive Thought Chains: Coherent reasoning flows with branching and revision
- Iterative Hypothesis Generation: Implements validation cycles
- Context Coherence
- Dynamic Scope Adjustment
- Quality Assessment: Real-time evaluation
- Branch Management: Parallel exploration paths
- Revision Tracking: Recursive refinement cycles
Tool Configuration
- Thought Chain parameters include 'thought', 'thoughtNumber', 'totalThoughts', and more for managing reasoning processes.
Advanced Features
- Thought Chain Analytics: Effectiveness, impact, quality metrics
- Pattern Recognition: Analyzes structures, validation, coherence
Installation
See npm installation details in the Markdown.
Contributing
Contributions are welcome; please refer to the contributing guidelines.
License
MIT