mcpField
H
Hubris

Hubris

Remote
hubris.pwAI & Agents0Updated 1w ago

About Hubris

Hubris MCP connects Hubris, an OpenAI-compatible LLM gateway, to MCP clients that need model access and account usage details. It offers a model catalog, ruble pricing, and tools for text, embeddings, speech, images, video, and more.

Key features

  1. 01Browse and filter paginated model catalog
  2. 02Check pricing, balance, and spending
  3. 03Request chat, embeddings, and reranking
  4. 04Use decision, image, speech, and video models
  5. 05Transcribe audio and YouTube videos
  6. 06Access catalog resource and comparison prompt

Use cases

  1. 01Inspect available models and prices in an MCP client
  2. 02Call varied model capabilities through one gateway
  3. 03Check Hubris account balance and usage

MCP support

It offers a hosted Streamable HTTP endpoint and a local stdio server that forwards calls. MCP clients can access its tools, resources, and prompt; tool calls require a Bearer API key.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://api.hubris.pw/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Packages
npmhubris-mcp0.1.1

Tools

Details

From the project 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)

npm install && npm run build
HUBRIS_API_KEY=sk-gw-... node dist/index.js

Or with Docker:

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

In an MCP client config:

{
  "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
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:

{
  "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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.