Lulu-The-Narwhal/dali-mcp

Overview

A Python-based Model Context Protocol (MCP) server that scores prompts before you spend credits on creative AI services. It evaluates prompt quality to help you avoid wasted generations. The tool is open source and integrates with MCP-compatible clients.

Best for

Best for
Developers building MCP-based creative AI tools who want a lightweight prompt quality gate.

Use cases

• Score prompt ideas before submitting to creative AI APIs
• Compare alternative prompt phrasings for quality
• Integrate prompt scoring into MCP-based workflows

How to use

Install

pip install dali-mcp

Tested with

Claude Code, Cursor, Windsurf, ChatGPT

Notes

A Python-based Model Context Protocol (MCP) server that scores prompts before you spend credits on creative AI services. It evaluates prompt quality to help you avoid wasted generations. The tool is open source and integrates with MCP-compatible clients.

8 stars on GitHub. Last updated 2026-07-13. Licensed MIT.

Use cases

• Score prompt ideas before submitting to creative AI APIs
• Compare alternative prompt phrasings for quality
• Integrate prompt scoring into MCP-based workflows

Pros

• Simple Python implementation, easy to inspect and extend
• Open source with a permissive license
• Directly addresses credit waste in creative AI usage

Cons

• Very early stage with only 8 GitHub stars
• Scoring accuracy is unverified and likely limited
• No documented configuration or usage examples

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.