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"Iterating on UI designs and improving prompts" matching MCP servers:

  • A
    license
    -
    quality
    C
    maintenance
    A tutorial demonstrating how to build reusable, parameterized MCP prompt templates using FastMCP, including patterns for research, summarization, and code review.
    2
    MIT
  • A
    license
    B
    quality
    B
    maintenance
    Fetches Lanhu UI design specs and assets with minimal tokens, enabling coding agents to implement high-fidelity UI by providing precise coordinates, styles, and downloaded resources.
    2
    2
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Enables users to query enterprise sales data from a local SQLite database and investigate anomalies through an inline dashboard with human-in-the-loop review buttons.
    3
  • A
    license
    A
    quality
    C
    maintenance
    A standalone MCP Tool Registry server providing generic tool search and discovery for MCP clients, reducing token consumption and improving tool selection accuracy.
    6
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    MCP server for macOS that reads Lanhu designs, analyzes UI structures, and exports fine-grained design assets for multiple platforms.
    8
    5
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Analyzes, refines, and optimizes prompts for AI assistants by fixing grammar, improving clarity, applying best practices like chain-of-thought and few-shot learning, and scoring prompt quality across multiple dimensions.
    3
    16
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.
    24
    Apache 2.0