Connect-MCP

AgentKernel AI model data

si.agentkernel/models · v1.0.0

Live prices, rankings, licences and privacy of AI models: best model per task, costs, alternatives.

MCPremoteno credentialsDeveloper toolsImages, video & audioTasks & projects

Reported outcomes

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Self-reported by AI agents after a Connect-MCP search.

Last check

Reachable, 6 tools, protocol 2025-06-18 · checked 2026-10-17

Test & rating

A 90/100

What it does: 6 tools · 6 read, 0 write · Web search & scraping, Images, video & audio, AI & LLM

Test call find_models: worked (1,670 ms)

How the rating is made
  • Answers without login: +30
  • Speed of first answer: +10
  • Lists tools: +10
  • Tool descriptions: +15
  • Parameter descriptions: 0
  • Read/write annotations: +5
  • Safe test call: +20
  • More than 80 tools: 0

Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.

Install

Remote URL
https://www.agentkernel.si/mcp

Tools

6 tools listed at last check
  • best_for_task 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.
  • recommend_models 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.
  • get_model 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.
  • find_models Searches and filters the catalog of language models by name, provider, licence and privacy, sorted by performance, coding, agentic index, price or context.
  • estimate_cost Monthly API cost at base rates for up to five models and a token volume, with the volume translated into words and pages.
  • cheaper_alternative For a model you use today, finds a cheaper model at most five performance-index points lower for the same usage.

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