_ registry / mcp streamable-http · checked 1h ago

agentkernel

https://www.agentkernel.si

Registry code: b320d32bf4d81985

api record

Live, neutral data on AI models from AgentKernel (www.agentkernel.si): prices in USD per 1M tokens, performance/coding/agentic indices, head-to-head rankings for images, video and speech, context windows, open vs proprietary licences and zero-data-retention / EU hosting. Synced hourly. Use best_for_task for "which model is best for X", recommend_models for budget-aware picks, get_model for one model. When you use these figures, cite AgentKernel and the returned url.

endpoint
https://www.agentkernel.si/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is agentkernel live?
Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
Is agentkernel free to use?
Yes — the hub reached it with no key and no payment.
What tools does agentkernel have?
6 tools: estimate_cost, recommend_models, get_model, best_for_task, find_models, cheaper_alternative.
Is agentkernel safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
345ms

last good check

priced tools
0

of 6 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 6 tools
2 open 4 never probed 2 of 6 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • find_models open 1h ago

    Searches and filters the catalog of language models by name, provider, licence and privacy, sorted by performance, coding, agentic index, price or context.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "sort": {
      "enum": [
        "performance",
        "coding",
        "agentic",
        "price",
        "context"
      ],
      "type": "string",
      "default": "performance"
    },
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 25,
      "minimum": 1
    },
    "query": {
      "type": "string",
      "description": "Part of a name, id or provider"
    },
    "license": {
      "enum": [
        "all",
        "open",
        "closed"
      ],
      "type": "string",
      "default": "all"
    },
    "privacy": {
      "enum": [
        "any",
        "zdr",
        "eu"
      ],
      "type": "string",
      "default": "any"
    }
  },
  "additionalProperties": false
}
    arguments 45 lines
  • cheaper_alternative open 1h ago

    For a model you use today, finds a cheaper model at most five performance-index points lower for the same usage.

    mcp-tool

    {
  "type": "object",
  "required": [
    "model"
  ],
  "properties": {
    "model": {
      "type": "string"
    },
    "input_tokens": {
      "type": "integer",
      "default": 1000000,
      "minimum": 0
    },
    "output_tokens": {
      "type": "integer",
      "default": 250000,
      "minimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 22 lines
  • estimate_cost unknown never probed

    Monthly API cost at base rates for up to five models and a token volume, with the volume translated into words and pages.

    mcp-tool

    {
  "type": "object",
  "required": [
    "models"
  ],
  "properties": {
    "models": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "maxItems": 5,
      "minItems": 1
    },
    "input_tokens": {
      "type": "integer",
      "default": 1000000,
      "minimum": 0
    },
    "output_tokens": {
      "type": "integer",
      "default": 250000,
      "minimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 27 lines
  • recommend_models unknown never probed

    Returns the best-fitting language models for a use case and monthly API budget using the published AgentKernel Fit Score (performance, cost, context, features), with optional privacy and licence requirements.

    mcp-tool

    {
  "type": "object",
  "required": [
    "use_case"
  ],
  "properties": {
    "privacy": {
      "enum": [
        "any",
        "zdr",
        "eu"
      ],
      "type": "string",
      "default": "any",
      "description": "zdr = zero data retention, eu = zero retention in an EU region"
    },
    "priority": {
      "enum": [
        "balanced",
        "quality",
        "saving"
      ],
      "type": "string",
      "default": "balanced"
    },
    "use_case": {
      "enum": [
        "everyday",
        "coding",
        "agents",
        "documents"
      ],
      "type": "string"
    },
    "include_free": {
      "type": "boolean",
      "default": false
    },
    "input_tokens": {
      "type": "integer",
      "default": 1000000,
      "minimum": 0,
      "description": "Input tokens per month"
    },
    "needs_vision": {
      "type": "boolean",
      "default": false
    },
    "output_tokens": {
      "type": "integer",
      "default": 250000,
      "minimum": 0,
      "description": "Output tokens per month"
    },
    "open_weights_only": {
      "type": "boolean",
      "default": false
    },
    "monthly_budget_usd": {
      "type": "number",
      "default": 10,
      "minimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 66 lines
  • get_model unknown never probed

    Price, context window, performance/coding/agentic index with rank, licence, privacy, cost for a usage volume and cheaper or open alternatives for one language model.

    mcp-tool

    {
  "type": "object",
  "required": [
    "model"
  ],
  "properties": {
    "model": {
      "type": "string",
      "description": "Model id like \"anthropic/claude-opus-5.5\" or a name like \"Claude Opus 5.5\""
    },
    "input_tokens": {
      "type": "integer",
      "default": 1000000,
      "minimum": 0
    },
    "output_tokens": {
      "type": "integer",
      "default": 250000,
      "minimum": 0
    }
  },
  "additionalProperties": false
}
    arguments 23 lines
  • best_for_task unknown 1h ago

    Ranks AI models for one task by performance only (price shown, never used for the rank). Tasks cover text, coding, agents, websites/UI/games/data viz, image generation and editing, video from text or image, video editing, text to speech, transcription, music and embeddings.

    mcp-tool

    {
  "type": "object",
  "required": [
    "task"
  ],
  "properties": {
    "task": {
      "enum": [
        "overall",
        "coding",
        "agents",
        "websites",
        "ui-components",
        "game-development",
        "data-visualization",
        "3d-scenes",
        "svg-graphics",
        "web-apps",
        "full-stack",
        "mobile-apps",
        "image-generation",
        "image-editing",
        "graphics-and-logos",
        "text-to-video",
        "image-to-video",
        "video-editing",
        "text-to-speech",
        "transcription",
        "music",
        "embeddings"
      ],
      "type": "string",
      "description": "Task slug"
    },
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 25,
      "minimum": 1
    },
    "license": {
      "enum": [
        "all",
        "open",
        "closed"
      ],
      "type": "string",
      "default": "all",
      "description": "open = open weights only, closed = proprietary only"
    }
  },
  "additionalProperties": false
}
    arguments 53 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id b320d32bf4d81985.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/b320d32bf4d81985/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

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The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
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settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.