A
license-
qualityC
maintenanceEnables creation, management, and templating of prompts through a simplified SOLID architecture, allowing users to organize prompts by category and fill in templates at runtime.
83
117
MIT
72,476 servers. Updated
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"Servers Offering MCP Prompts as Prompt Primitives" matching MCP servers:
- Alicense-qualityDmaintenanceTurns Claude-style skill folders into MCP tools, resources, and prompts for discovering and using skills.81MIT
- FlicenseAqualityBmaintenanceDeterministic SNAP eligibility logic, exposed as auditable Model Context Protocol tools. An AI agent can read, reason, and orchestrate, but the eligibility determination itself is made by versioned, tested, cited code that a caseworker, an auditor, or a court can inspect.5
- AlicenseAqualityCmaintenanceEnables LLMs to inspect and test other MCP servers by listing and calling their tools, reading resources, and getting prompts. Supports stdio, SSE, and HTTP transports for both local and remote MCP server inspection.71MIT
- 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.43186MIT
- AlicenseCqualityDmaintenanceEnables cleaning and sanitizing prompts through an LLM-powered tool that removes sensitive information, provides structured feedback with notes and risks, and normalizes prompt formatting. Supports configurable local or remote OpenAI-compatible APIs with automatic secret redaction.41MIT
- AlicenseDqualityCmaintenanceFix your vibe coding prompts before they reach the AI. Scores and rewrites across 4 dimensions — no API key, no server, just npx. Now with codebase-aware context injection for design, database, API, auth, testing, and state management.214MIT
- Alicense-qualityCmaintenanceMCP 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.18MIT
- Alicense-qualityDmaintenanceA toolkit for managing Claude desktop app extension configurations, enabling features like Brave search, file operations, Git/GitHub integration, shell access, web scraping, HTTP requests, AWS documentation search, and Obsidian note management.2MIT
- Alicense-qualityDmaintenanceEnhances and cleans raw prompts using AI to make them more clear, actionable, and effective. Provides quality assessment, suggestions, and supports both general and code-specific optimization modes.1MIT
- Alicense-qualityCmaintenanceA deterministic prompt optimization middleware for AI coding agents that preserves intent, compresses context, and detects drift, available as an MCP server with tools for optimize_prompt, classify_prompt, and more.MIT
- Alicense-qualityCmaintenanceGit-driven MCP server that manages and provides prompt templates with Handlebars support, enabling teams to collaborate on and version-control reusable, dynamic prompts across AI editors like Cursor and Claude Desktop.ISC
- Alicense-qualityBmaintenanceProvides MCP clients a single decision-only tool to classify prompts as safe for local or cloud models, or as containing PII or jailbreak content, without executing actions or calling AI models.43Cryptographic Autonomy 1.0 (Combined Work Exception)
- Alicense-qualityDmaintenanceOpen-source MCP servers for ESG data extraction, analysis, and regulation management, providing 31 tools across 6 servers for tasks like metrics extraction, PDF processing, vector storage, and web scraping.MIT
- Flicense-qualityCmaintenanceMCP server for professional prompt engineering and agentic scaffolding, with cloud and local optimization.4
- Flicense-qualityDmaintenanceProvides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.4
- -license-quality-maintenanceA Model Context Protocol server that helps users create, validate, and optimize AI prompts using the RISEN framework (Role, Instructions, Steps, Expectations, Narrowing).
- AlicenseBqualityBmaintenanceWAF for AI agents — block prompt injection before it reaches the LLM.5MIT
- Alicense-qualityCmaintenanceProvides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.53MIT
- Alicense-qualityDmaintenanceAn MCP server that provides custom prompts for guiding bot interactions, specifically to avoid using brackets in descriptions.1MIT