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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
WARUNGCYBER_API_KEYYesYour WarungCyber API key (starts with sk-wc-). Get one from https://api.warungcyber.net.

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
warungcyber_list_modelsA

List available AI models from the WarungCyber AI Gateway, including context window limits, token pricing (USD and IDR), and capability categories. Read-only operation.

warungcyber_check_balanceA

Retrieve remaining account balance (USD/IDR), cumulative token consumption, and active account status for a WarungCyber API key via an external gateway API call. Read-only operation.

warungcyber_chat_completionA

Send a chat completion prompt to a selected WarungCyber AI model via external HTTP API call. Consumes account token balance based on prompt and completion length. Requires an active WarungCyber API key (sk-wc-...). Returns generated text and token usage metrics.

warungcyber_get_setup_guideA

Generate formatted Markdown setup guides and copy-paste configuration snippets for integrating WarungCyber into Cursor IDE, VS Code Continue, Cline, Chatbox, or Python and Node.js SDKs. Embeds the provided API key (or placeholder if omitted) directly into the code sample. Read-only operation.

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

Disambiguation5/5

Each tool has a clearly distinct purpose: listing models, checking account balance, generating setup guides, and performing chat completions. There is no overlap in functionality, so an agent can easily select the right tool.

Naming Consistency4/5

Three tools follow a consistent warungcyber_verb_noun pattern (list_models, check_balance, get_setup_guide), but chat_completion deviates by using a noun phrase instead of a verb. The shared prefix and mostly consistent structure keep it readable.

Tool Count5/5

Four tools is a well-scoped set for an AI gateway integration server, covering discovery, account status, setup, and core AI usage. Each tool earns its place without redundancy.

Completeness4/5

The surface covers the core lifecycle for using the WarungCyber gateway: discovering models, checking balance, integrating, and chatting. Minor gaps like streaming chat or embeddings exist but are not essential for the stated purpose.

Maintenance

ActivityNo data
ResponsivenessNo issues