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⇱ MCP server that provides both prompts and resources | Glama

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MCP server that provides both prompts and resources

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  • Why this server?

    This server directly serves prompt templates, which are a core component of 'prompts and resources' for AI systems.

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    Serves prompt templates through a standardized protocol for transforming basic user queries into optimized prompts for AI systems.
    Last updated
    8
    Apache 2.0

  • Why this server?

    This server is specifically designed for managing prompt templates, directly aligning with the 'prompts and resources' aspect of your search.

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    A Model Context Protocol server for managing prompt templates as markdown files with YAML frontmatter, allowing users and LLMs to easily add, retrieve, and manage prompts.
    Last updated
    5
    9
    14
    MIT

  • Why this server?

    This is a starter template with an architecture for auto-loading tools, resources, and prompts, which are all relevant to your search.

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    A minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers with auto-loading architecture for tools, resources, and prompts. Provides boilerplate code, generators, and examples to quickly create MCP servers that can connect AI applications to any data source or tool.
    Last updated

  • Why this server?

    This server focuses on optimizing AI prompts, which directly addresses the 'prompts' part of your search by enhancing their quality.

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    An MCP server that automatically optimizes AI prompts using evolutionary algorithms, helping improve prompt performance, creativity, and reliability through iterative testing and refinement.
    Last updated
    12
    3
    MIT

  • Why this server?

    This server provides curated, high-quality prompts for various development tasks, directly offering 'prompts' as a resource.

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    A lightweight server that provides curated, high-quality prompts for common development tasks like UI/UX design, project setup, and debugging to enhance AI-powered development workflows.
    Last updated
    6
    5
    1
    MIT

  • Why this server?

    This server is designed for managing and serving dynamic prompt templates, fitting perfectly with 'prompts and resources'.

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    MCP server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, etc.
    Last updated
    17
    MIT

  • Why this server?

    This server transforms text into structured JSON data using templates, which can function as resources or prompts for AI.

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    A Model Context Protocol server that transforms text into structured JSON data using templates with placeholders.
    Last updated
    2
    1
    MIT

  • Why this server?

    This boilerplate provides a foundation for building MCP servers with custom tools, resource providers, and prompt templates.

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    A starter template for building MCP servers that can integrate with Claude, Cursor, or other MCP-compatible AI assistants to create custom tools, resource providers, and prompt templates.
    Last updated
    2

  • Why this server?

    This server provides access to agent instruction files and prompts for AI development workflows, directly offering 'prompts and resources'.

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    Enables access to agent instruction files and prompts for AI development workflows. Provides tools to retrieve and list development rules, security checks, and common prompts from an agents library through MCP protocol.
    Last updated
    3
    Apache 2.0