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Why this server?
Suggests pre-defined prompt templates for AI assistants to generate plans for TypeScript projects, API architectures, and GitHub workflows, which could be useful for optimizing prompts.
Why this server?
Helps refine AI-generated content to sound more natural and human-like, which could help in optimizing prompts for better results.
Why this server?
A Model Context Protocol server utilizing Claude AI for generating intelligent queries and offering documentation assistance based on API documentation analysis, which could be used in prompt optimization.
Why this server?
Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices, useful for optimizing code-related prompts.
Why this server?
Scrapes Swagger UI, extracting swagger.json files and generating well-defined MCP tools, which can be used to optimize prompts based on API specifications.
Why this server?
Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices, useful for optimizing code-related prompts.
Why this server?
Provides text-to-speech and speech-to-text functionalities using Windows' native speech services without external dependencies; can be used for testing and optimizing prompts in voice-based interactions.