mcp-chain-of-draft-prompt-tool
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The MCP Chain of Draft (CoD) Prompt Tool is a Model Context Protocol tool that enhances LLM reasoning by transforming standard prompts into Chain of Draft (CoD) or Chain of Thought (CoT) formats.
The MCP Chain of Draft (CoD) Prompt Tool is designed to enhance the reasoning capabilities of language models by converting standard prompts into structured formats like Chain of Draft (CoD) or Chain of Thought (CoT). This transformation process involves several steps: input transformation, LLM processing, enhanced reasoning, and result transformation. The tool supports a 'Bring Your Own LLM' approach, allowing users to integrate various language models, including cloud services like Anthropic Claude and OpenAI GPT, as well as local models like Ollama and LLama variants. The tool is optimized for efficiency, reducing token usage and improving response speed while maintaining high accuracy. It is compatible with multiple platforms and can be integrated into existing workflows with ease.
Features
- Core Chain of Draft Implementation: Provides concise reasoning steps, format enforcement, and answer extraction.
- Performance Analytics: Tracks token usage, solution accuracy, execution time, and domain-specific performance metrics.
- Adaptive Word Limits: Automatically estimates complexity and adjusts word limits dynamically.
- Comprehensive Example Database: Includes CoT to CoD transformations and domain-specific examples for various fields.
- Hybrid Reasoning Approaches: Automatically selects between CoD and CoT based on domain-specific optimization and historical performance.
Tools
chain_of_draft_solve
Solve a problem using Chain of Draft reasoning.
math_solve
Solve a math problem with CoD.
code_solve
Solve a coding problem with CoD.
logic_solve
Solve a logic problem with CoD.
get_performance_stats
Get performance stats for CoD vs CoT.
