InkRoom Prompts MCP
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- AlicenseNot gradedqualityCmaintenanceEnables users to organize, search, and manage a shared library of prompts across AI tools via the Model Context Protocol. It supports hierarchical folder organization, tagging, and template variable substitution for dynamic prompt generation.MIT
- -licenseNot gradedqualityNot gradedmaintenanceEnables discovery of public AI models with pricing, documentation context, and OpenAI-compatible integration examples. Supports both read-only queries and paid async media generation tasks.-
- AlicenseAqualityDmaintenanceCommunity-driven library of tested prompts for AI agents, enabling search, retrieval, sharing, and rating of prompts.5MIT
- AlicenseNot gradedqualityDmaintenanceProvides AI assistants with access to a library of 924 free ecommerce marketing prompts across 43 categories, enabling tools to list collections, search prompts, and retrieve full templates with variables and recommended AI models.MIT

Prompeteer MCP Serverofficial
AlicenseNot gradedqualityBmaintenanceGenerate and review AI prompts and reusable agent skills, work with saved PromptDrive prompts, and retrieve permitted Memory context. Connect at https://prompeteer.ai/mcp using Streamable HTTP and OAuth 2.1. Tool access depends on granted scopes; review generated output before use.75 npm1MIT- AlicenseAqualityDmaintenanceAllows users to save, organize, and manage AI prompts, folders, and tags directly within MCP-compatible tools like Claude and Cursor. It supports version history tracking, prompt searching, and the ability to save public templates to a personal collection.203 npmMIT
TDQS
Scored across 4 tools
Each tool targets a distinct capability: help returns static docs, list_models queries the catalog, search_prompts searches prompts, and optimize_prompt rewrites an idea into a prompt. The only mild overlap is between help (capability descriptions) and list_models (model/price catalog), but the descriptions clearly delineate them.
Three tools follow a clear verb_noun snake_case pattern (list_models, search_prompts, optimize_prompt). The lone 'help' is a bare noun, a minor but readable deviation from the otherwise consistent convention.
Four tools is on the lean side but well-matched to a focused prompt-search/optimization service; each tool earns its place. It is not thin enough to feel incomplete, though a fifth (e.g., fetch-by-id or category browse) would round it out.
The surface covers discovery (search_prompts returns full prompts and provenance), catalog lookup (list_models), rewrite (optimize_prompt), and self-documentation (help). Minor gaps exist—no direct fetch-by-id, pagination, or filter-by-model—but agents can work around them via keyword search.