GodPrompt MCP Server
Related Servers
Alternatives to GodPrompt MCP Server
- AlicenseAqualityAmaintenanceAI visibility tracker MCP server. Track brand citations across ChatGPT, Claude, Perplexity, Gemini & Google AI Overviews. Self-host on Cloudflare Workers. GEO/AEO.12148 npm46MIT
Related Servers
- AlicenseAqualityDmaintenanceAutomatically generates and manages a prompts system for software projects, enabling persistent context for AI coding assistants through project scanning, requirement clarification, and module tracking.822 npmMIT
- AlicenseAqualityBmaintenanceEnables refining prompt intent, structure, constraints, and output instructions before prompts reach an LLM, with tools for schema retrieval, brief validation, and prompt variant generation.3MIT
- FlicenseNot gradedqualityDmaintenanceProvides 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.-
- AlicenseAqualityBmaintenanceProvides specialist context for AI agents, enabling them to work as different roles (UI, DE, SRE, etc.) through MCP prompts and tools.79 npm1MIT
- FlicenseNot gradedqualityCmaintenanceEnables context optimization for LLM-powered coding assistants by compressing prompts, injecting task protocols, and providing a 2nd Brain knowledge graph with tools for prompt compression, knowledge retrieval, metrics, and runtime configuration.-
- AlicenseNot gradedqualityBmaintenanceServes instructions and templates that make any AI coding tool plan before building, work through a project checklist in the right order, and hold a consistent standard, while all reading and writing of your code stays on your machine.MIT
TDQS
Scored across 7 tools
Each tool maps to a clearly distinct file or action: full prompt, core skill, individual reference docs, task classification, and version metadata. The descriptions explicitly prescribe when to use each (e.g., full file vs progressive disclosure), so an agent would rarely misselect. Even the overlapping full-prompt and core-skill tools are disambiguated by context size and start-here guidance.
All tools follow a consistent snake_case verb_noun pattern: get_* for content retrieval and metadata, plus classify_task for the single classification action. There are no stylistic clashes or vague names, and the function of each tool is predictable from its name alone.
Seven tools is well within the ideal range for a focused content-delivery and classification server. Each tool covers a distinct artifact or action—full prompt, core skill, three reference files, classification, and version check—and none feels redundant. The count is appropriate for the server's narrow purpose.
The set covers the complete documented workflow: core protocol loading, task-type classification, deeper per-type protocols, anti-patterns, gates/checklists, and version verification. Since this is a read-only content server, no CRUD operations are expected. It exposes every referenced file plus a classifier, leaving no obvious dead ends.