Hubris

pw.hubris由 hubris.pw 發布官方發布者v1.1.0更新於 Nov 2, 2026

OpenAI-compatible LLM gateway for Russia: 500+ models, ruble pricing, balance, chat.

已驗證Streamable HTTP可網頁執行金融媒體與設計AI 與機器學習

概覽

AI 產生的概覽

Hubris MCP 讓助理連上 Hubris 的 OpenAI 相容 LLM 閘道:瀏覽 400+ 模型、查看盧布價格與餘額,並執行對話、向量、圖像、語音與影片呼叫。

可以做什麼
  • 列出並搜尋模型目錄,依能力、價格或上下文長度篩選,查看單一模型的盧布定價
  • 查詢帳戶餘額與某段期間的支出(請求數、token、盧布)
  • 執行對話補全、產生向量、依相關性重新排序文件
  • 提出帶機率的是非、選擇與量表決策,產生圖像、合成語音、轉寫音訊
  • 啟動影片生成、查詢任務狀態並取得下載連結,轉寫或摘要 YouTube 影片
  • 以資源形式讀取模型目錄與快速入門,並使用比較模型的提示範本
適用情境
適合想透過單一 MCP 連線存取多種文字、向量、圖像、語音與影片模型,並使用同一個盧布計費帳戶,同時讓助理在消費前後核對價格、餘額與用量的情境。
執行需求
需要 Hubris 帳戶與 API 金鑰(sk-gw-...),透過 HUBRIS_API_KEY 或 Bearer Authorization 標頭提供。可連線託管的 Streamable HTTP 端點,或以 Node.js(或 Docker)在本機執行 npm stdio 套件。列出工具不需金鑰,呼叫工具則需要。可用 HUBRIS_MCP_URL 覆寫端點。
安裝前請注意
呼叫會消耗帳戶中以盧布計價的餘額,包括圖像、語音與影片生成。Bearer 金鑰可存取帳戶餘額,建議使用可獨立撤銷的專用金鑰。提示詞、音訊等輸入會傳送到 Hubris 閘道及其上游模型供應商。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Hubris,將其新增到工作區。
  2. 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
  3. 為需要使用其工具的對話啟用該服務。

Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。

交給代理程式安裝

把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。

閱讀 https://sourceweft.com/mcp/pw.hubris%2Fhubris-mcp/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。

檢視代理程式所依據的安裝指南

其他 MCP 客戶端

把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。

{
  "mcpServers": {
    "hubris": {
      "type": "http",
      "url": "https://api.hubris.pw/mcp"
    }
  }
}

README

Hubris MCP

[Smithery] [npm] [Hubris MCP on mcprush]

Model Context Protocol server for Hubris — an OpenAI-compatible LLM gateway with billing in rubles. Connect Claude Desktop, Claude Code, Cline, Cursor or any other MCP client to a single hosted server and get access to the model catalog, account balance and spending, and every kind of model in it: text, embeddings, rerankers, decision models, images, speech, transcription, video and YouTube transcripts.

There are two ways in: connect your client straight to the hosted endpoint, or run the stdio server in this repository, which declares the same tools locally and forwards calls to that endpoint. The second is what you want for clients that speak stdio only, and for sandboxes that build from a Dockerfile.

Listing the tools needs no credential; only calling one does. With HUBRIS_API_KEY set, the stdio server takes the tool list live from the hosted endpoint, so it never lags behind new tools; without a key it serves the list bundled with the package.

Tools

ToolDescription
models_listFull catalog of active models, cursor-paginated.
models_searchFilter by the tool that runs the model (tool), capability, price, context length.
models_get_pricingPricing for a specific model, in rubles; voices for speech models, durations and resolutions for video models.
balance_getCurrent account balance.
usage_getSpending over a period: requests, tokens, rubles.
chat_completeLLM chat request — same as POST /v1/chat/completions.
embeddings_createEmbedding vectors — POST /v1/embeddings.
rerankOrder documents by relevance to a query — POST /v1/rerank.
decisions_askYes/no, choice and scale answers with probabilities — POST /v1/decisions.
image_generateDraw an image, returned as image content — POST /v1/images/generations.
speech_createText to speech, returned as audio content — POST /v1/audio/speech.
transcription_createSpeech to text from base64 audio — POST /v1/audio/transcriptions.
video_createStart a video generation — POST /v1/videos.
video_getStatus of a video task; download links once it is ready — GET /v1/videos/{id}.
youtube_transcribeTranscript or summary of a YouTube video — POST /v1/video/transcriptions.

Resources

URIContent
hubris://catalog/modelsFull model catalog as a single JSON document.
hubris://docs/quickstartQuickstart page.
hubris://videos/{id}/contentA finished video, linked from video_get (hosted endpoint only).

Prompts

  • compare-models {task} — ready-made prompt for comparing models for a given task.

Run locally (stdio)

bash
npm install && npm run buildHUBRIS_API_KEY=sk-gw-... node dist/index.js

Or with Docker:

bash
docker build -t hubris-mcp .docker run -i --rm -e HUBRIS_API_KEY=sk-gw-... hubris-mcp

In an MCP client config:

json
{  "mcpServers": {    "hubris": {      "command": "node",      "args": ["/path/to/hubris-mcp/dist/index.js"],      "env": { "HUBRIS_API_KEY": "sk-gw-..." }    }  }}

HUBRIS_MCP_URL overrides the endpoint if you need to point it elsewhere.

Connect

Claude Code

bash
claude mcp add --transport http hubris https://api.hubris.pw/mcp \  --header "Authorization: Bearer sk-gw-..."

Claude Desktop

Claude Desktop only speaks stdio, so remote HTTP servers go through the mcp-remote shim. Add to claude_desktop_config.json:

json
{  "mcpServers": {    "hubris": {      "command": "npx",      "args": [        "-y",        "mcp-remote",        "https://api.hubris.pw/mcp",        "--transport",        "http-only",        "--header",        "Authorization:${AUTH_TOKEN}"      ],      "env": {        "AUTH_TOKEN": "Bearer sk-gw-..."      }    }  }}

Cline / Cursor / other clients

Any MCP client with Streamable HTTP transport support:

FieldValue
TransportStreamable HTTP
URLhttps://api.hubris.pw/mcp
Auth headerAuthorization: Bearer sk-gw-...

Full connection guide (with client-specific caveats): hubris.pw/docs/integrations/mcp.

Security

The Bearer key grants access to your account balance. We recommend creating a dedicated key for MCP at hubris.pw/keys so it can be revoked independently of other integrations.

About Hubris

Hubris is an OpenAI-compatible LLM gateway for the Russian market — one API key, one ruble-denominated balance, 400+ models. hubris.pw

來源:README.md,提交 cbb7a73

工具

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版本歷史

1
  1. v1.1.0最新Sep 16, 2026

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