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Alternatives to polyglot-mcp

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables users to organize, search, and manage a shared library of prompts across AI tools via the Model Context Protocol. It supports hierarchical folder organization, tagging, and template variable substitution for dynamic prompt generation.
      MIT
    • A
      license
      A
      quality
      C
      maintenance
      Enables storage and reuse of prompt templates with variable substitution for LLMs. Supports creating, searching, and retrieving prompt templates to avoid repeating complex instructions across conversations.
      4
      6 npm
      4
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Provides AI assistants with access to a library of 924 free ecommerce marketing prompts across 43 categories, enabling tools to list collections, search prompts, and retrieve full templates with variables and recommended AI models.
      MIT
    • A
      license
      A
      quality
      D
      maintenance
      Allows users to save, organize, and manage AI prompts, folders, and tags directly within MCP-compatible tools like Claude and Cursor. It supports version history tracking, prompt searching, and the ability to save public templates to a personal collection.
      20
      15 npm
      MIT
    • A
      license
      B
      quality
      D
      maintenance
      Provides access to thousands of AI prompts from prompts.chat, enabling users to search, browse, and use community-curated prompts with variable substitution directly in their AI coding assistant.
      2
      233 npm
      34
      ISC
    • A
      license
      Not graded
      quality
      B
      maintenance
      Generate and review AI prompts and reusable agent skills, work with saved PromptDrive prompts, and retrieve permitted Memory context. Connect at https://prompeteer.ai/mcp using Streamable HTTP and OAuth 2.1. Tool access depends on granted scopes; review generated output before use.
      258 npm
      1
      MIT