Hubris is an OpenAI-compatible LLM gateway for the Russian market, billed in rubles. This MCP server gives agents access to the model catalog (400+ models with ruble pricing), account balance, and chat completions with full parity to POST /v1/chat/completions.
Tools: models_list, models_search (filter by capability/price/context length), models_get_pricing, balance_get, chat_complete. Resources: hubris://catalog/models, hubris://docs/quickstart. Prompt: compare-models.
Docs: https://hubris.pw/
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Scored across 5 tools
balance_get, chat_complete, and models_get_pricing have clearly distinct purposes. models_list and models_search overlap somewhat, but the descriptions differentiate a paginated catalog from a filtered search.
Most tools follow a resource-first, action-last pattern like balance_get and models_list. models_get_pricing breaks the pattern slightly by embedding a second object in the action, and chat_complete is a little ambiguous, but overall the naming remains readable and predictable.
Five tools is well-scoped for a chat/API gateway server. Each tool serves a distinct core need: balance, completion, pricing, model listing, and model search.
The set covers the main workflows: checking balance, calling chat completions, browsing/searching models, and fetching pricing. The explicit lack of streaming is a notable gap, but non-streaming parity is still provided and there are no dead ends.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
balance_getchat_completemodels_get_pricingmodels_listmodels_search
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