AIblogly AI Models
AI model facts from aiblogly.com: vendor API prices, context windows, licences, LMArena ranks.
Sollte ich dies verwenden
Qualität und Sicherheit
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"models": {
"url": "https://www.aiblogly.com/mcp"
}
}
}Remote-Endpunkte
https://www.aiblogly.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (4)
🟢search_models(query, category, limit)
Find published AI models on aiblogly.com by name, vendor or category. Returns price per 1M tokens, context window, release date, licence, status and current LMArena rank, each with the model page URL to cite.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Words to match in the model name, vendor or slug, e.g. \"claude\", \"gemini flash\", \"Mistral\"."
},
"category": {
"type": "string",
"enum": [
"Coding",
"Image Generation",
"Video Generation",
"Audio Generation"
],
"description": "Optional. \"Coding\" holds the text/LLM models."
},
"limit": {
"type": "number",
"description": "Maximum results, 1-25. Default 10."
}
}
}🟢get_model(model)
All published facts for one model: vendor price with its conditions, context window, release date, licence, status (retired/deprecated), LMArena rank, vendor source and the date it was checked, plus a one-paragraph summary.
Eingabe-Schema
{
"type": "object",
"properties": {
"model": {
"type": "string",
"description": "Model name or aiblogly slug, e.g. \"Claude Haiku 5.5\" or \"claude-haiku-5-5\"."
}
},
"required": [
"model"
]
}⚪compare_models(a, b)
Side-by-side facts for two models (price, context window, release date, licence, LMArena rank) and the aiblogly comparison page URL.
Eingabe-Schema
{
"type": "object",
"properties": {
"a": {
"type": "string",
"description": "First model name or slug."
},
"b": {
"type": "string",
"description": "Second model name or slug."
}
},
"required": [
"a",
"b"
]
}⚪top_models(category, limit)
The highest-rated models in a category by current LMArena Elo (ranks older than 14 days are excluded), with links to the aiblogly rankings.
Eingabe-Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"Coding",
"Image Generation",
"Video Generation"
],
"description": "Default \"Coding\" (text models)."
},
"limit": {
"type": "number",
"description": "1-25. Default 10."
}
}
}Community
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