MCP Chain of Draft Server
by bsmi021
Chain of Draft Server is an AI-driven tool that helps developers make better decisions through systematic refinement. It integrates with AI agents and provides a structured approach to reasoning and design.
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What is MCP Chain of Draft Server?
The Chain of Draft Server is a tool designed to facilitate systematic and iterative refinement of thoughts and designs, particularly in the context of software development. It leverages AI agents to assist in reasoning, API design, architecture decisions, code reviews, and implementation planning.
How to use MCP Chain of Draft Server?
To use the server, first clone the repository and install the dependencies using npm. Configure the server settings in initialize.ts
. Then, utilize the Chain of Draft protocol by providing input data, such as the thoughtData
example, and iterate through drafts based on the critiques generated. The server provides real-time logging for debugging and monitoring.
Key features of MCP Chain of Draft Server
Iterative Reasoning
Thought History
Branching Support
TypeScript Support
Error Handling
Real-time Logging
Use cases of MCP Chain of Draft Server
Reasoning Improvement
API Design
Architecture Decisions
Code Reviews
FAQ from MCP Chain of Draft Server
How does the Chain of Draft protocol work?
How does the Chain of Draft protocol work?
The protocol guides you through systematic improvement of your thinking through iterative drafts and focused critiques.
Can I customize the critique dimensions?
Can I customize the critique dimensions?
Yes! Each tool supports custom critique focuses tailored to your specific needs.
How many drafts should I plan for?
How many drafts should I plan for?
We recommend 3-5 drafts for most tasks, but you can adjust based on complexity.
How can I contribute to the project?
How can I contribute to the project?
We welcome contributions! Please check our Contributing Guidelines.
Where can I report bugs or suggest features?
Where can I report bugs or suggest features?
You can report bugs or suggest features on our GitHub Issues page.