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Tools for selecting prompts intelligently

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  • Why this server?

    This server is designed for using Dify, which could be used for prompt engineering and selection, potentially enabling intelligent prompt choices through its workflow capabilities.

    Dify Server

    YanxingLiu
    Verified
    -
    security
    F
    license
    -
    quality
    Server for using Dify. It achieves the invocation of the Dify workflow by calling the tools of MCP.
    188
    Python

  • Why this server?

    FastMCP offers resources, tools, and prompt management, which might assist in selecting the best prompts for a given task.

    FastMCP

    wanderingnature
    -
    security
    A
    license
    -
    quality
    FastMCP is a comprehensive MCP server allowing secure and standardized data and functionality exposure to LLM applications, offering resources, tools, and prompt management for efficient LLM interactions.
    3
    Python
    MIT License

  • Why this server?

    This server facilitates building tools for interacting with various APIs and workflows, supporting Python-based development with potential for customizable prompts and user configurations which can aid in prompt selection.

    Lodestar MCP Server

    kanlanc
    -
    security
    F
    license
    -
    quality
    This is an MCP server that facilitates building tools for interacting with various APIs and workflows, supporting Python-based development with potential for customizable prompts and user configurations.
    Python

  • Why this server?

    This plugin allows Dify to connect to multiple MCP servers, enabling invocation of Dify workflows, which could include prompt selection logic.

    MCP HTTP with SSE transport Tools

    junjiem
    -
    security
    F
    license
    -
    quality
    A plugin that allows Dify to connect to multiple MCP (Model Control Protocol) servers using HTTP with Server-Sent Events transport, supporting custom configurations for URLs, headers, and timeouts.
    67
    Python

  • Why this server?

    This provides prompts that can be used as slash commands, which enables the retrieval of page contents as context to the AI assistant, indirectly influencing prompt selection.

    mcp-confluence

    mouhamadalmounayar
    Verified
    A
    security
    A
    license
    A
    quality
    A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.
    13
    8
    TypeScript
    MIT License

  • Why this server?

    Provides a comprehensive toolset for IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation which could be chained together through a prompt to create a more effective output.

    Toolkit MCP Server

    cyanheads
    Verified
    A
    security
    A
    license
    A
    quality
    A Model Context Protocol server that provides LLM Agents with a comprehensive toolset for IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.
    16
    3
    4
    TypeScript
    Apache 2.0

  • Why this server?

    MCP Server simplifies the implementation of the Model Context Protocol by providing a user-friendly API to create custom tools and manage server workflows efficiently, that can allow one to programatically choose a better prompt.

    MCP Server

    la-rebelion
    -
    security
    A
    license
    -
    quality
    MCP Server simplifies the implementation of the Model Context Protocol by providing a user-friendly API to create custom tools and manage server workflows efficiently.
    4
    3
    TypeScript
    MIT License

  • Why this server?

    This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly for prompt selection.

    Model Context Protocol (MCP) Server

    hideya
    -
    security
    A
    license
    -
    quality
    This server facilitates the invocation of AI models from providers like Anthropic, OpenAI, and Groq, enabling users to manage and configure large language model interactions seamlessly.
    4
    Python
    MIT License