a-tool-or-resource-for-improving-prompt-writing MCP servers

"a-tool-or-resource-for-improving-prompt-writing" matching MCP servers:

• Prompt for User Input MCP

  goldensansapple

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  security

  A

  license

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  quality

  Enables AI models to interactively prompt users for input or clarification directly through their code editor. It facilitates real-time communication between assistants and users during development tasks.

  Last updated 4 months ago

  MIT

• Chain of Draft Prompt Tool

  brendancopley

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  security

  F

  license

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  quality

  Transforms prompts into Chain of Draft (CoD) or Chain of Thought (CoT) format to enhance LLM reasoning quality while reducing token usage by up to 92.4%, supporting multiple LLM providers including Claude, GPT, Ollama, and local models.

  Last updated 6 months ago

  6

  18

• Resource Hub Server

  adamwattis

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  security

  F

  license

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  quality

  An MCP server that connects to the Resource Hub, allowing centralized configuration and management of tools and resources across different MCP environments.

  Last updated 9 months ago

  4

• Cortex Resource Manager

  ry-ops

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  security

  A

  license

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  quality

  Manages resource allocation, MCP server lifecycle, and Kubernetes workers in cortex automation systems. Provides tools for requesting/releasing job resources, starting/stopping/scaling MCP servers, and provisioning/destroying burst workers with TTL management.

  Last updated 2 months ago

  MIT

• MCP Prompt Template Selector

  Vadimber2

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  security

  F

  license

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  quality

  Provides AI-powered selection and generation of specialized system prompts from a database of over 66 templates for Claude Code. It uses semantic search to find the best matching template and can adapt it to fit specific user tasks and contexts.

  Last updated a month ago

• Self-Improving Memory MCP

  SuperPiTT

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  security

  A

  license

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  quality

  Provides Claude with persistent memory and learning capabilities through 10 automatic agents that capture decisions, errors, solutions, and patterns across conversations. Features an anti-compaction system to prevent context loss and enables infinite conversation continuity.

  Last updated 5 months ago

  26

  MIT