AgentKernel AI model data
Live prices, rankings, licences and privacy of AI models: best model per task, costs, alternatives.
Should I use this
Quality & Safety
Findings (1)
- LOWTool 'estimate_cost' description lacks action verbin estimate_cost
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"models": {
"url": "https://www.agentkernel.si/mcp"
}
}
}Remote endpoints
https://www.agentkernel.si/mcpstreamable-httpWhat it can do
Tool inventory
Tools (6)
🟢best_for_task(task, license, limit)
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.
Input Schema
{
"type": "object",
"properties": {
"task": {
"type": "string",
"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"
],
"description": "Task slug"
},
"license": {
"type": "string",
"enum": [
"all",
"open",
"closed"
],
"default": "all",
"description": "open = open weights only, closed = proprietary only"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 25,
"default": 10
}
},
"required": [
"task"
],
"additionalProperties": false
}🟢recommend_models(use_case, monthly_budget_usd, priority, input_tokens, output_tokens, ...)
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.
Input Schema
{
"type": "object",
"properties": {
"use_case": {
"type": "string",
"enum": [
"everyday",
"coding",
"agents",
"documents"
]
},
"monthly_budget_usd": {
"type": "number",
"minimum": 0,
"default": 10
},
"priority": {
"type": "string",
"enum": [
"balanced",
"quality",
"saving"
],
"default": "balanced"
},
"input_tokens": {
"type": "integer",
"minimum": 0,
"default": 1000000,
"description": "Input tokens per month"
},
"output_tokens": {
"type": "integer",
"minimum": 0,
"default": 250000,
"description": "Output tokens per month"
},
"privacy": {
"type": "string",
"enum": [
"any",
"zdr",
"eu"
],
"default": "any",
"description": "zdr = zero data retention, eu = zero retention in an EU region"
},
"open_weights_only": {
"type": "boolean",
"default": false
},
"needs_vision": {
"type": "boolean",
"default": false
},
"include_free": {
"type": "boolean",
"default": false
}
},
"required": [
"use_case"
],
"additionalProperties": false
}🟢get_model(model, input_tokens, output_tokens)
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.
Input Schema
{
"type": "object",
"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",
"minimum": 0,
"default": 1000000
},
"output_tokens": {
"type": "integer",
"minimum": 0,
"default": 250000
}
},
"required": [
"model"
],
"additionalProperties": false
}🟢find_models(query, license, privacy, sort, limit)
Searches and filters the catalog of language models by name, provider, licence and privacy, sorted by performance, coding, agentic index, price or context.
Input Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Part of a name, id or provider"
},
"license": {
"type": "string",
"enum": [
"all",
"open",
"closed"
],
"default": "all"
},
"privacy": {
"type": "string",
"enum": [
"any",
"zdr",
"eu"
],
"default": "any"
},
"sort": {
"type": "string",
"enum": [
"performance",
"coding",
"agentic",
"price",
"context"
],
"default": "performance"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 25,
"default": 10
}
},
"additionalProperties": false
}🟢estimate_cost(models, input_tokens, output_tokens)
Monthly API cost at base rates for up to five models and a token volume, with the volume translated into words and pages.
Input Schema
{
"type": "object",
"properties": {
"models": {
"type": "array",
"items": {
"type": "string"
},
"minItems": 1,
"maxItems": 5
},
"input_tokens": {
"type": "integer",
"minimum": 0,
"default": 1000000
},
"output_tokens": {
"type": "integer",
"minimum": 0,
"default": 250000
}
},
"required": [
"models"
],
"additionalProperties": false
}🟢cheaper_alternative(model, input_tokens, output_tokens)
For a model you use today, finds a cheaper model at most five performance-index points lower for the same usage.
Input Schema
{
"type": "object",
"properties": {
"model": {
"type": "string"
},
"input_tokens": {
"type": "integer",
"minimum": 0,
"default": 1000000
},
"output_tokens": {
"type": "integer",
"minimum": 0,
"default": 250000
}
},
"required": [
"model"
],
"additionalProperties": false
}Community
Evidence