mcp-chain-of-draft-prompt-tool

Overview

The MCP Chain-of-Draft Prompt Tool transforms standard prompts into Chain-of-Draft format for enhanced reasoning while reducing token usage by up to 92.4%. It supports multiple LLM providers including Anthropic Claude, OpenAI GPT models, Mistral AI, and local models via Ollama or custom endpoints. The tool automatically handles prompt transformation, LLM processing, and result formatting back into clear, concise responses while maintaining high accuracy.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• chain_of_draft_solve

  Solve a problem using Chain of Draft reasoning

  Try:Solve this complex problem using Chain of Draft reasoningTry:Apply CoD to answer: What causes climate change?
• math_solve

  Solve a math problem with Chain of Draft

  Try:Calculate 247 + 394 using Chain of DraftTry:Solve: What is the square root of 144?
• code_solve

  Solve a coding problem with Chain of Draft

  Try:Debug this Python code using Chain of DraftTry:Write a function to sort an array with CoD
• logic_solve

  Solve a logic problem with Chain of Draft

  Try:Solve this riddle using Chain of Draft reasoningTry:Apply CoD to: If all roses are flowers, and some flowers fade, do some roses fade?
• get_performance_stats

  Get performance statistics for Chain of Draft vs Chain of Thought

  Try:Show me performance stats between CoD and CoTTry:Compare token usage between reasoning methods
• get_token_reduction

  Get token reduction statistics when using Chain of Draft

  Try:How many tokens did Chain of Draft save?Try:Show token reduction statistics
• analyze_problem_complexity

  Analyze the complexity of a given problem

  Try:Analyze the complexity of this math problemTry:How complex is this coding challenge?

Comparable tools

Installation

{
    "mcpServers": {
        "chain-of-draft-prompt-tool": {
            "command": "python3",
            "args": ["/absolute/path/to/cod/server.py"],
            "env": {
                "ANTHROPIC_API_KEY": "your_api_key_here"
            }
        }
    }
}

FAQ

What is Chain-of-Draft (CoD) reasoning?

Chain-of-Draft is a reasoning approach that uses very concise steps (typically 5 words or less) to maintain accuracy while significantly reducing token usage compared to traditional Chain-of-Thought (CoT).

Which LLM providers are supported?

The tool supports Anthropic Claude, OpenAI GPT models, Mistral AI, and local models through Ollama or custom endpoints with OpenAI-compatible APIs.

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