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Glama
InkRoom-AI

InkRoom Prompts MCP

Official
by InkRoom-AI

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
}

Tools

Functions exposed to the LLM to take actions

NameDescription
helpA

Read local capability and cost-boundary descriptions without parameters, credentials, network requests or upstream model tokens. This static help does not check service health.

list_modelsA

Query the main InkRoom public MCP catalog for current model names, parameters and InkRoom official sale prices. No Key, Token, Cookie, upstream model invocation or optimization. Listed models do not grant account authorization. Network and rate-limit failures remain errors.

search_promptsA

Search public InkRoom image prompts using up to 3 keyword groups. Returns complete prompts, original example image links and provenance. No login or Key. A search error is not an empty result.

optimize_promptA

Turn an image idea into a usable prompt with InkRoom’s configured text model. Use after a successful search finds no match or when explicitly asked to rewrite. Free within server limits; never generates or includes an example image. No automatic retries.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.9/5.0

Scored across 4 tools

Disambiguation4/5

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.

Naming Consistency4/5

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.

Tool Count4/5

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.

Completeness4/5

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.

Maintenance

ActivityMaintained
ResponsivenessNo issues