Claude Prompts MCP Server
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- FlicenseNot gradedqualityNot gradedmaintenanceEnables AI-native prompt management for Latitude.so with full CRUD operations, version control, file-based workflows, and direct prompt execution with streaming support.4 npm-
- AlicenseNot gradedqualityAmaintenanceEnables prompt versioning, evaluation, and management via MCP, CLI, and REST APIs, with support for multiple LLM providers.MIT
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- AlicenseNot gradedqualityFmaintenanceEnables creation, management, and templating of prompts through a simplified SOLID architecture, allowing users to organize prompts by category and fill in templates at runtime.38 npm118MIT
- AlicenseAqualityCmaintenanceEnables storage and reuse of prompt templates with variable substitution for LLMs. Supports creating, searching, and retrieving prompt templates to avoid repeating complex instructions across conversations.49 npm4MIT
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TDQS
Scored across 3 tools
The three tools target distinct areas: prompt execution, system administration, and resource management. The only ambiguity is system_control, whose description is vague and could overlap with engine control, but overall the boundaries are clear enough.
All tool names use a consistent snake_case noun_noun format with a role suffix (engine, control, manager). While not a strict verb_noun pattern, the naming style is uniform and predictable across all three tools.
Three tools is at the lower end of appropriate for a focused server, and each tool serves a distinct purpose. The count is reasonable for the narrow domain, though a slightly larger set could add more convenience functions.
The set covers the full lifecycle: creating and managing resources via resource_manager, executing prompts via prompt_engine, and system-level status via system_control. Minor gaps include a dedicated inspection or debugging tool, but the core workflows are complete.