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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
LOBSTACK_API_KEYNoLobstack API key used to authenticate the MCP server. Optional for unauthenticated route preview; required for the chat, models, and spend tools. Read once at startup, never logged, never in a tool result.
LOBSTACK_BASE_URLNoBase URL for staging and self-hosted deployments. Use www, not the bare apex, because the apex redirect strips the Authorization header.https://www.lobstack.ai/api/gateway/v1

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
lobstack_route_previewA

Score a prompt and report which model the Lobstack router would serve it with, and what that would cost. Runs no inference, spends nothing, and NEEDS NO API KEY — use it to pick a model before calling lobstack_chat, or to show what the gateway does on a machine with no key configured. Token counts are estimates; the billed figure comes from the provider's usage block on the real call.

lobstack_modelsA

The models the Lobstack Gateway serves, with capability tier, provider, context window and USD price per million input and output tokens. A model the registry cannot price shows a null price, not zero.

lobstack_chatA

Send a prompt or conversation through the Lobstack Gateway and get the reply plus a receipt: the model that actually served it, token counts, USD cost, and any saving with the reason it may be claimed. Model "auto" (the default) lets the router pick the cheapest model that can handle the prompt. This call spends money against the configured key's allowance.

lobstack_spendA

What this organization has spent through the gateway over a range, broken down by day, model, key or agent, with request counts, tokens, error counts and latency percentiles. Requires an API key with the usage:read scope. Reports how many requests could not be priced, because a total that includes them is a floor.

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 targets a clearly distinct concern: route_preview scores/routes without spending, models lists the catalog, chat performs the actual paid call, and spend reports usage. The overlap risk between route_preview and chat is explicitly resolved by descriptions clarifying one runs no inference while the other spends money.

Naming Consistency4/5

All tools share a consistent 'lobstack_' prefix and are snake_case, so they scan as one family. Suffix styles vary though — route_preview is verb_noun while models, chat and spend are bare nouns/verbs — a minor inconsistency but still readable and predictable.

Tool Count4/5

Four tools is on the lean side but each earns its place and maps to a real workflow stage (discover, preview, execute, audit). Slightly thin, though appropriate for a focused gateway server.

Completeness4/5

The surface covers the core lifecycle: model discovery, routing/cost preview, the paid completion call, and spend auditing. Minor gaps exist (e.g. no embeddings, streaming controls, or key/scope management), but agents can accomplish the primary gateway tasks without dead ends.

Maintenance

ActivityMaintained
ResponsivenessNo issues