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Hubris

by pw.hubris
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This connector has been deprecated

This connector is a duplicate. Use Hubris instead — same endpoint (https://api.hubris.pw/mcp), but with ownership verified, OAuth, all five tools inspected and a quality score.

Search models

models_search
Read-onlyIdempotent

Find models that fit a task. Filters by name, the tool that runs the model, capability, price ceiling and context window, and can sort the result. This is the tool to reach for when choosing a model — it does the filtering server-side and returns at most 50 rows.

All filters combine with AND, and every one of them is optional: calling with no arguments returns the first 50 active models.

Two things worth knowing about prices. maxInputPer1MRub keeps only models billed per token, because a ruble-per-million ceiling is meaningless for a model billed per image. The cheap_input and cheap_output sorts push non-token models to the end of the list for the same reason — their token rate reads as zero, which would otherwise put video models at the top of "cheapest".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNocheap_input / cheap_output — ascending token price, models not billed per token go last. big_context — widest context window first. popular — most used on Hubris first. Unsorted when omitted.
toolNoKeep only models run by this tool: "chat_complete" for text, "embeddings_create", "rerank", "decisions_ask", "image_generate", "speech_create", "transcription_create" or "video_create". The way to find a model for any tool other than chat_complete.
queryNoCase-insensitive substring matched against the model id and display name, e.g. "claude" or "gpt".
capabilityNoKeep only models with this capability. vision — reads images. image_gen — draws them. transcription — speech to text via /v1/audio/transcriptions. audio_in — accepts an audio recording in chat. audio_out — answers with speech. audio — legacy, matches either audio direction. tools — function calling. reasoning — extended thinking. web_search — built-in web search. decisions — yes/no, choice and scale answers with probabilities via /v1/decisions (no text output). rerank — orders documents by relevance to a query via /v1/rerank (no text output).
minContextNoKeep only models whose context window is at least this many tokens.
maxInputPer1MRubNoCeiling on the price of 1M input tokens, in rubles. Also restricts the result to models billed per token, since the ceiling means nothing for models billed per image or minute.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
modelsYesMatching models, at most 50.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • changedInput schema / properties / capability / description
      Previous value: -"Keep only models with this capability. vision — reads images. image_gen — draws them. transcription — speech to text via /v1/audio/transcriptions. audio_in — accepts an audio recording in chat. audio_out — answers with speech. audio — legacy, matches either audio direction. tools — function calling. reasoning — extended thinking. web_search — built-in web search. decisions — yes/no, choice and scale answers with probabilities via /v1/decisions (no text output)."New value: +"Keep only models with this capability. vision — reads images. image_gen — draws them. transcription — speech to text via /v1/audio/transcriptions. audio_in — accepts an audio recording in chat. audio_out — answers with speech. audio — legacy, matches either audio direction. tools — function calling. reasoning — extended thinking. web_search — built-in web search. decisions — yes/no, choice and scale answers with probabilities via /v1/decisions (no text output). rerank — orders documents by relevance to a query via /v1/rerank (no text output)."
    • changedInput schema / properties / capability / enum
      Previous value: -[
-  "vision",
-  "reasoning",
-  "tools",
-  "web_search",
-  "audio_in",
-  "audio_out",
-  "audio",
-  "image_gen",
-  "transcription",
-  "decisions"
-]New value: +[
+  "vision",
+  "reasoning",
+  "tools",
+  "web_search",
+  "audio_in",
+  "audio_out",
+  "audio",
+  "image_gen",
+  "transcription",
+  "decisions",
+  "rerank"
+]
    • addedInput schema / properties / tool
      Added value: +{
+  "description": "Keep only models run by this tool: \"chat_complete\" for text, \"embeddings_create\", \"rerank\", \"decisions_ask\", \"image_generate\", \"speech_create\", \"transcription_create\" or \"video_create\". The way to find a model for any tool other than chat_complete.",
+  "enum": [
+    "chat_complete",
+    "embeddings_create",
+    "rerank",
+    "decisions_ask",
+    "image_generate",
+    "speech_create",
+    "transcription_create",
+    "video_create"
+  ],
+  "type": "string"
+}
    • changedOutput schema / properties / models / items / properties / capabilities / description
      Previous value: -"Any of: vision, image_gen, transcription, audio_in, audio_out, audio (legacy, means either audio direction), tools, reasoning, web_search."New value: +"Any of: vision, image_gen, transcription, audio_in, audio_out, audio (legacy, means either audio direction), decisions, rerank, tools, reasoning, web_search."
    • addedOutput schema / properties / models / items / properties / tool
      Added value: +{
+  "description": "The tool that runs this model, e.g. \"chat_complete\" for text models or \"video_create\" for video ones.",
+  "enum": [
+    "chat_complete",
+    "embeddings_create",
+    "rerank",
+    "decisions_ask",
+    "image_generate",
+    "speech_create",
+    "transcription_create",
+    "video_create"
+  ],
+  "type": "string"
+}
    • changedOutput schema / properties / models / items / required
      Previous value: -[
-  "id",
-  "displayName",
-  "capabilities",
-  "contextLength",
-  "pricing"
-]New value: +[
+  "id",
+  "displayName",
+  "tool",
+  "capabilities",
+  "contextLength",
+  "pricing"
+]
  2. Changed2 schema fields changed
    • changedInput schema / properties / capability / description
      Previous value: -"Keep only models with this capability. vision — reads images. image_gen — draws them. transcription — speech to text via /v1/audio/transcriptions. audio_in — accepts an audio recording in chat. audio_out — answers with speech. audio — legacy, matches either audio direction. tools — function calling. reasoning — extended thinking. web_search — built-in web search."New value: +"Keep only models with this capability. vision — reads images. image_gen — draws them. transcription — speech to text via /v1/audio/transcriptions. audio_in — accepts an audio recording in chat. audio_out — answers with speech. audio — legacy, matches either audio direction. tools — function calling. reasoning — extended thinking. web_search — built-in web search. decisions — yes/no, choice and scale answers with probabilities via /v1/decisions (no text output)."
    • changedInput schema / properties / capability / enum
      Previous value: -[
-  "vision",
-  "reasoning",
-  "tools",
-  "web_search",
-  "audio_in",
-  "audio_out",
-  "audio",
-  "image_gen",
-  "transcription"
-]New value: +[
+  "vision",
+  "reasoning",
+  "tools",
+  "web_search",
+  "audio_in",
+  "audio_out",
+  "audio",
+  "image_gen",
+  "transcription",
+  "decisions"
+]
  3. Changed6 schema fields changed
    • changedInput schema / properties / capability / description
      Previous value: -"audio_in — модель слушает аудиозапись, audio_out — отвечает голосом. Устаревший `audio` = любой из двух."New value: +"Keep only models with this capability. vision — reads images. image_gen — draws them. transcription — speech to text via /v1/audio/transcriptions. audio_in — accepts an audio recording in chat. audio_out — answers with speech. audio — legacy, matches either audio direction. tools — function calling. reasoning — extended thinking. web_search — built-in web search."
    • changedInput schema / properties / maxInputPer1MRub / description
      Previous value: -"Порог в ₽ за 1М входных токенов. Оставляет только модели с токенной тарификацией (pricing.unit = token)."New value: +"Ceiling on the price of 1M input tokens, in rubles. Also restricts the result to models billed per token, since the ceiling means nothing for models billed per image or minute."
    • addedInput schema / properties / minContext / description
      Added value: +"Keep only models whose context window is at least this many tokens."
    • changedInput schema / properties / query / description
      Previous value: -"Подстрока в id или displayName."New value: +"Case-insensitive substring matched against the model id and display name, e.g. \"claude\" or \"gpt\"."
    • changedInput schema / properties / sort / description
      Previous value: -"cheap_input / cheap_output сортируют по цене за токены; модели с оплатой в других единицах уходят в конец списка."New value: +"cheap_input / cheap_output — ascending token price, models not billed per token go last. big_context — widest context window first. popular — most used on Hubris first. Unsorted when omitted."
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": false,
+  "properties": {
+    "models": {
+      "description": "Matching models, at most 50.",
+      "items": {
+        "additionalProperties": false,
+        "properties": {
+          "capabilities": {
+            "description": "Any of: vision, image_gen, transcription, audio_in, audio_out, audio (legacy, means either audio direction), tools, reasoning, web_search.",
+            "items": {
+              "type": "string"
+            },
+            "type": "array"
+          },
+          "contextLength": {
+            "description": "Context window in tokens.",
+            "type": "number"
+          },
+          "displayName": {
+            "description": "Human-readable model name.",
+            "type": "string"
+          },
+          "id": {
+            "description": "Model id to pass to chat_complete and to the OpenAI-compatible API, e.g. \"anthropic/claude-sonnet-5\".",
+            "type": "string"
+          },
+          "pricing": {
+            "additionalProperties": false,
+            "properties": {
+              "inputPer1MRub": {
+                "description": "Price of 1M input tokens in rubles, decimal string, e.g. \"182.40\". \"0.00\" when unit is not \"token\".",
+                "type": "string"
+              },
+              "isFree": {
+                "description": "True only for genuinely free models. Do not infer this from a zero price: models billed per image or per minute also report \"0.00\" token rates.",
+                "type": "boolean"
+              },
+              "outputPer1MRub": {
+                "description": "Price of 1M output tokens in rubles, decimal string. \"0.00\" when unit is not \"token\".",
+                "type": "string"
+              },
+              "unit": {
+                "description": "Billing unit. \"token\" — priced per token, the two Rub fields below are meaningful. \"unit\" — priced per image, per minute, per character and so on; token fields are \"0.00\" and the real price is in models_get_pricing → perUnit. \"unknown\" — no pricing on record.",
+                "enum": [
+                  "token",
+                  "unit",
+                  "unknown"
+                ],
+                "type": "string"
+              }
+            },
+            "required": [
+              "unit",
+              "inputPer1MRub",
+              "outputPer1MRub",
+              "isFree"
+            ],
+            "type": "object"
+          }
+        },
+        "required": [
+          "id",
+          "displayName",
+          "capabilities",
+          "contextLength",
+          "pricing"
+        ],
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "required": [
+    "models"
+  ],
+  "type": "object"
+}
  4. First observed

TDQS

A4.3/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover safety (readOnly, idempotent, non-destructive), yet the description adds real behavior: server-side filtering, a hard 50-row cap, AND-combination of filters, and the deliberate treatment of non-token-billed models under price ceilings and cheap sorts. These are non-obvious quirks an agent would otherwise misread.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose, then defaults, then the price caveat; nearly every sentence carries information. The price paragraph partially duplicates the schema's own notes, which costs a little tightness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers filtering semantics, sort behavior, argument optionality, the no-arg default, and the result cap. An output schema exists, so return-shape detail is correctly left out; nothing an agent needs to call this correctly is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3; the description earns above that by explaining why maxInputPer1MRub implicitly excludes per-image/per-minute models and why cheap_input/cheap_output reorder them, which the schema only asserts. It reinforces rather than redefines the schema's enum semantics.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and resource ('Find models that fit a task') and enumerates exactly what can be filtered and sorted. It positions itself as the model-selection entry point, though it never names its closest sibling (models_list) to draw the boundary explicitly.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives clear context ('the tool to reach for when choosing a model') and states that all filters are optional with a defined no-argument default (first 50 active models). It stops short of naming when to prefer models_list or models_get_pricing instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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