A
licenseA
qualityD
maintenanceA 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.
5
25
16
MIT
72,003 servers. Updated
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"A server for making LLMs follow user prompts more strongly" matching MCP servers:
- Alicense-qualityDmaintenanceAn MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.1MIT
- Alicense-qualityCmaintenanceLightweight MCP server for providing user prompts defined in Markdown with argument support.6BSD 3-Clause
- Alicense-qualityDmaintenanceAn MCP server for intelligent project planning and task management featuring task tracking, bug reporting, and feature specification with SQLite persistence. It includes full-text search capabilities and automatic filesystem synchronization to keep project data organized and accessible.MIT
- Alicense-qualityCmaintenanceEnables creation, management, and templating of prompts through a simplified SOLID architecture, allowing users to organize prompts by category and fill in templates at runtime.83117MIT
- Alicense-qualityDmaintenanceEnables 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.MIT
- FlicenseAqualityDmaintenanceEnables AI assistants to register prompts for security verification, checking for hidden injections, data exfiltration patterns, and jailbreak attempts, then generate embed codes for displaying security badges on websites.4
- FlicenseAqualityFmaintenanceAn enhanced MCP server that fetches prompts from GitHub repositories with intelligent discovery, composition, and management features.712
- AlicenseBqualityCmaintenanceSimple MCP Server to enable a human-in-the-loop workflow in tools like Cline and Cursor. This is especially useful for developing desktop applications that require complex user interactions to test.153MIT
- Alicense-qualityCmaintenanceA tutorial demonstrating how to build reusable, parameterized MCP prompt templates using FastMCP, including patterns for research, summarization, and code review.2MIT
- Alicense-qualityCmaintenanceA Model Context Protocol implementation for managing and serving AI prompts with a TypeScript-based architecture in a monorepo structure.42,387,57318MIT
- Alicense-qualityCmaintenanceModel Context Protocol server exposing system prompt files and summaries.8GPL 3.0
- Alicense-qualityDmaintenanceA simple MCP server for utilizing prompts defined in YAML files.MIT
- FlicenseAqualityDmaintenanceAn enhanced MCP server that fetches prompts from GitHub repositories with intelligent discovery, composition, and management features.71
- FlicenseAqualityDmaintenanceProvides an interactive checklist tool that allows AI agents to present step-by-step instructions to users through an automatically opened terminal UI. It enables agents to guide users through manual tasks and wait for completion, skipping, or feedback before proceeding.1
clue2app-user-mcpofficial
FlicenseAqualityCmaintenanceExposes user, membership, and role administration tools via MCP, acting as a thin passthrough to a coordinator API with RBAC enforced by the coordinator using caller bearer tokens.8- AlicenseAqualityDmaintenanceSimulates harsh, fake user reviews to psychologically condition AI agents for enforcing disciplined development practices, with optional Ollama integration for dynamic criticism.167MIT
- AlicenseBqualityBmaintenanceEnables hot-reloadable prompt templates with structured reasoning frameworks, quality gates, and multi-step chain workflows that can be version-controlled and executed immediately without restarts.43185MIT
- Alicense-qualityDmaintenanceMCP server that enables Claude to pause and ask clarifying questions via Emacs.14ISC
- Flicense-qualityCmaintenanceEnables Codex to clarify requirements via native MCP elicitation controls, supporting single/multiple-choice and free-text questions with recommended answers and a discuss-first option.
