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Manage, categorize, store, and quickly retrieve reusable AI prompts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP AI Prompts Management" yet — see the docs or source repo.
Help me build a structured management system for these AI prompts: categorize them into copywriting, coding, and analysis; add tags, descriptions, and use cases for each; then provide examples for create, search, update, and delete operations.
A structured prompt library plan with categories, tag design, and CRUD operation examples.
Search my prompt library for all prompts related to market research with the tag competitor analysis, sort them by most recently used, and return the title, tags, and a short summary.
A filtered list of prompts that can be quickly reused for the task.
Review my saved prompts, identify duplicates or inconsistent tags, suggest merges and renaming, and output a cleaned final library structure.
A deduplicated, standardized prompt list with concrete cleanup recommendations.
Fetch, discover, compose, and manage prompts from GitHub repositories via MCP.
Manage Discord channels, roles, permissions, and categories using natural language.
Manage MCP server configurations with listing, toggling, and version control.
Manage tasks via MCP with CRUD, filtering, and productivity-focused prompts.
Manage and search prompt repositories directly from Claude Code or Codex.
Rewrite rough prompts into optimized structured prompts for better LLM outputs.