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Glama
AKzar1el

GodPrompt MCP Server

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}
resources
{
  "listChanged": true
}
extensions
{
  "io.modelcontextprotocol/skills": {}
}

Tools

Functions exposed to the LLM to take actions

NameDescription
get_god_promptA

Returns the complete GodPrompt.md — a single-file universal system prompt for AI software development (47KB, ~1145 lines). Use this when you want the full payload in one shot. For progressive disclosure (smaller context), use get_core_skill and the reference tools instead.

get_core_skillA

Returns SKILL.md — the lean core protocol (~16KB) covering the universal 6-phase protocol, Three Iron Laws, and task auto-classification. Load it at the start of a task or after a context reset, then reuse that context instead of reloading it on every message. Start here for progressive disclosure.

get_protocolsA

Returns references/01-PROTOCOLS.md — deep execution guides for each task type (BUILD, DEBUG, REFACTOR, CONTENT, DESIGN, SHIP, ANALYZE, AUTOMATE, PLAN). Load this when the task requires detailed protocol steps beyond the core skill. ~13KB.

get_gatesA

Returns references/02-GATES.md — verification checklists, THE GATE (pre-completion verification), and structured report templates for every deliverable type. Load when you need to verify work before claiming completion. ~9KB.

get_anti_patternsA

Returns references/03-ANTI-PATTERNS.md — red flags, rationalizations, and recovery patterns. Covers the 10 most dangerous anti-patterns that lead to broken code, scope creep, and false confidence. Load when you catch yourself rationalizing. ~9KB.

classify_taskA

Classify one concrete software-development task into one of GodPrompt's 9 task types (BUILD, DEBUG, REFACTOR, CONTENT, DESIGN, SHIP, ANALYZE, AUTOMATE, PLAN), or UNCLASSIFIED when no reliable route is detected. Returns JSON with task_type, deterministic confidence, protocol, matched_signals, alternative_task_types, ambiguous, and recommendation; use it for routing before loading detailed workflow text.

get_versionA

Returns JSON with the GodPrompt content version, MCP server version, repository, bundled file sizes and purposes, and task-type/protocol catalog. Use it to verify which GodPrompt content/server version a client is connected to; use the content retrieval tools when you need the actual workflow text.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
god-promptProduction workflow skill for coding, debugging, architecture, design, deployment, automation, SEO, content, and other substantial build or review work. Use when a task benefits from explicit scope, task classification, evidence-backed execution, verification, and delivery gates. Routes work through the appropriate protocol and scales depth to the task while preserving user and developer authority.
references/01-PROTOCOLS.md
references/02-GATES.md
references/03-ANTI-PATTERNS.md

TDQS

A4.7/5.0

Scored across 7 tools

Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness5/5

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.

Maintenance

ActivityMaintained
ResponsivenessNo issues