Chain of Draft (CoD) MCP Server
by stat-guy
This MCP server implements the Chain of Draft (CoD) reasoning approach, a novel paradigm that allows LLMs to generate minimalistic yet informative intermediate reasoning outputs while solving tasks. It significantly reduces token usage while maintaining accuracy.
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What is Chain of Draft (CoD) MCP Server?
The Chain of Draft (CoD) MCP Server is an implementation of the Chain of Draft reasoning approach, designed to optimize LLM performance by reducing token usage while maintaining accuracy. It provides a server that can be integrated with tools like Claude Desktop to enable CoD reasoning.
How to use Chain of Draft (CoD) MCP Server?
To use the server, you need to clone the repository, install the dependencies (Python or JavaScript), configure your API keys, and run the server. You can then integrate it with Claude Desktop or use the provided client libraries in your Python or JavaScript code to solve problems using Chain of Draft reasoning.
Key features of Chain of Draft (CoD) MCP Server
Core Chain of Draft Implementation with concise reasoning steps and format enforcement
Performance Analytics including token usage tracking and solution accuracy monitoring
Adaptive Word Limits for dynamic adjustment of reasoning step length
Comprehensive Example Database with CoT to CoD transformations
OpenAI API Compatibility for easy integration into existing workflows
Hybrid Reasoning Approaches for automatic selection between CoD and CoT
Use cases of Chain of Draft (CoD) MCP Server
Solving math problems with reduced token usage
Solving coding problems with faster response times
Solving logic problems efficiently
Integrating CoD reasoning into Claude Desktop
Analyzing problem complexity to optimize reasoning approach
Reducing API costs for LLM calls across various reasoning tasks
FAQ from Chain of Draft (CoD) MCP Server
What is Chain of Draft (CoD)?
What is Chain of Draft (CoD)?
CoD is a novel reasoning paradigm that allows LLMs to generate minimalistic yet informative intermediate reasoning outputs, reducing token usage while maintaining accuracy.
What are the key benefits of using CoD?
What are the key benefits of using CoD?
The key benefits include efficiency (reduced token usage), speed (faster responses), cost savings (lower API costs), maintained accuracy, and flexibility across various tasks.
How do I install the CoD server?
How do I install the CoD server?
You can install the server using either Python or JavaScript. Follow the instructions in the README to clone the repository, install dependencies, configure API keys, and run the server.
How do I integrate CoD with Claude Desktop?
How do I integrate CoD with Claude Desktop?
You can integrate CoD with Claude Desktop by editing the Claude Desktop config file and adding the server configuration, specifying the command and arguments to run the server.
What tools are available in the CoD server?
What tools are available in the CoD server?
The server provides tools such as chain_of_draft_solve, math_solve, code_solve, logic_solve, get_performance_stats, get_token_reduction, and analyze_problem_complexity.