Local AI Picks
Find open-weight AI models that fit your hardware, with weight sizes, memory and sources.
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": {
"localaipicks": {
"url": "https://localaipicks.com/mcp"
}
}
}Remote-Endpunkte
https://localaipicks.com/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (4)
🟢list_tasks
The tasks Local AI Picks lists open-weight models for (text LLM, coding, speech to text, text to speech, image, video, music, translation, OCR), with the number of current models and the page for each.
Eingabe-Schema
{
"type": "object",
"properties": {}
}🟢find_models(task, memory_gb, device, limit)
Current open-weight models for one task, latest version of each family, in the same order as the site. Give memory_gb (and device) to keep only models whose smallest listed weight option fits; memory is estimated only for text LLMs and taken from vendor sources otherwise, and is "unknown" when neither exists. No ratings and no speed estimates.
Eingabe-Schema
{
"type": "object",
"properties": {
"task": {
"type": "string",
"description": "Task id from list_tasks, e.g. \"llm\", \"coding\", \"image\"."
},
"memory_gb": {
"description": "GPU VRAM or unified memory in GB.",
"type": "number",
"exclusiveMinimum": 0,
"maximum": 2048
},
"device": {
"description": "apple counts MLX weights; gpu and cpu do not.",
"type": "string",
"enum": [
"apple",
"gpu",
"cpu"
]
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 30
}
},
"required": [
"task"
]
}🟢get_model(slug)
One model: parameters, license, context length, every listed weight option with file size and memory need, third-party scores with their source and date, whether this site tested it, and links.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"maxLength": 120,
"description": "Model slug from find_models."
}
},
"required": [
"slug"
]
}🟢compare_models(slugs)
The same facts as get_model for 2 to 4 models side by side.
Eingabe-Schema
{
"type": "object",
"properties": {
"slugs": {
"minItems": 2,
"maxItems": 4,
"type": "array",
"items": {
"type": "string",
"maxLength": 120
}
}
},
"required": [
"slugs"
]
}Community
Nachweis