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Optimize prompts and run regression tests with visual score and revision tracking.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Prompt Lab MCP Server" yet — see the docs or source repo.
Use Prompt Lab MCP Server to iteratively optimize this Claude Code prompt for better accuracy and conciseness in code explanations. Output each round's score, revision rationale, and the final recommended version: 'Explain this Python code and suggest improvements.'
Provides multi-round prompt revisions, score comparisons, change rationales, and the best final version.
Create a regression test suite for my Claude Code prompt covering correctness, stability, and output format consistency. List test cases, scoring criteria, and failure analysis examples.
Generates a structured test suite plan with sample cases, evaluation dimensions, and failure analysis.
Using Prompt Lab's visualization capabilities, summarize the key changes from the first prompt version to the current one, the score trend, and which edits were most effective.
Returns a revision history summary, performance trend explanation, and high-impact improvement insights.
Manage and search prompt repositories directly from Claude Code or Codex.
Rewrite rough prompts into optimized structured prompts for better LLM outputs.
Provide code review, fixes, testing, and refactoring help in Claude Code.
Run prompt and RAG evaluations through MCP clients with hosted backend execution.
Delegate web research and image generation to ChatGPT through browser automation.
Demo MCP server for calculations, time checks, notes, and code review prompts.