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Improving and Refining Prompts for Various Uses

  • Why this server?

    Offers resources, tools, and prompt management for efficient LLM interactions, contributing to prompt enhancement.

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    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?

    Provides a suite of tools for knowledge management, reasoning, and advanced search, all crucial for improving prompt accuracy and relevance.

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    A comprehensive suite of Model Context Protocol servers designed to extend AI agent Claude's capabilities with integrations for knowledge management, reasoning, advanced search, news access, and workspace tools.
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    TypeScript
    • Apple
  • Why this server?

    Helps refine AI-generated content to sound more natural and human-like, enhancing the quality of the generated text from prompts.

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    Helps refine AI-generated content to sound more natural and human-like. Built with advanced AI detection and text enhancement capabilities.
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    8
    JavaScript
    MIT License
  • Why this server?

    Breaks down complex problems into steps and recommends tools, indirectly enhancing prompt effectiveness through structured problem-solving.

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    An adaptation of the MCP Sequential Thinking Server designed to guide tool usage in problem-solving. This server helps break down complex problems into manageable steps and provides recommendations for which MCP tools would be most effective at each stage.
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    95
    TypeScript
    MIT License
  • Why this server?

    Optimizes token usage by caching data, leading to more efficient and potentially more detailed responses from LLMs given the same prompt budget.

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    A Model Context Protocol (MCP) server that optimizes token usage by caching data during language model interactions, compatible with any language model and MCP client.
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    JavaScript
  • Why this server?

    Facilitates prompt discovery, retrieval, and integration, crucial for managing and improving prompts over time.

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    Facilitates access and management of Langfuse prompts through the Model Context Protocol, enabling prompt discovery, retrieval, and integration within clients like Claude Desktop and Cursor.
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    TypeScript
    MIT License
  • Why this server?

    Intelligently chunks large documents to improve context-aware processing, leading to better summaries and responses from prompts.

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    An MCP server that intelligently chunks large documents for Claude, enabling efficient context-aware processing and summary generation for enhanced document comprehension.
    12
    JavaScript
  • Why this server?

    Adds page contents as context to the AI assistant, enabling more informed and relevant responses to prompts.

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    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.
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    8
    TypeScript
    MIT License
  • Why this server?

    Provides curated access to documentation and best practices, allowing for better-informed prompts and more accurate results.

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    Serves as a guardian of development knowledge, providing AI assistants with curated access to latest documentation and best practices.
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    52
    TypeScript
    MIT License