The Neural Net
Sourced register of open-weight AI model releases and AI news. Every field cites its source.
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": {
"model-register": {
"url": "https://theneuralnet.com/api/mcp"
}
}
}Remote-Endpunkte
https://theneuralnet.com/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (6)
🟢search_models(organisation, license, task, min_parameters, max_parameters, ...)
Search the model register: open-weight AI model releases with exact parameter counts, architectural context length, licence and release date. Use this to answer questions about which models exist, how big they are, what they are licensed under, or what shipped recently.
Eingabe-Schema
{
"type": "object",
"properties": {
"organisation": {
"type": "string",
"description": "e.g. qwen, deepseek-ai, meta-llama, google"
},
"license": {
"type": "string",
"description": "e.g. apache-2.0, mit"
},
"task": {
"type": "string",
"description": "e.g. text-generation, image-text-to-text, mask-generation"
},
"min_parameters": {
"type": "number",
"description": "Minimum parameter count, e.g. 7000000000"
},
"max_parameters": {
"type": "number"
},
"min_context": {
"type": "number",
"description": "Minimum architectural context length in tokens"
},
"tool_calling": {
"type": "boolean",
"description": "Only models whose chat template shows tool-calling support"
},
"reasoning": {
"type": "boolean",
"description": "Only models whose chat template shows reasoning/thinking support"
},
"image_input": {
"type": "boolean",
"description": "Only models that accept image input"
},
"released_after": {
"type": "string",
"description": "ISO date, e.g. 2026-01-01"
},
"query": {
"type": "string",
"description": "Substring match on the model id"
},
"include_derivatives": {
"type": "boolean",
"description": "Include quantisations and conversions of other releases (GGUF, MLX, AWQ and similar). Default false."
},
"limit": {
"type": "number",
"description": "Default 25, max 100"
}
}
}🟢get_model(id)
Get the full record for one model, including every field and the endpoint each field was sourced from. Use when you need provenance or complete detail.
Eingabe-Schema
{
"type": "object",
"properties": {
"id": {
"type": "string",
"description": "Repo id, e.g. \"Qwen/Qwen3.8-27B\""
}
},
"required": [
"id"
]
}⚪recent_releases(days, limit)
Models first recorded in the register within the last N days. Use to answer 'what shipped recently' or 'what is new in open-weight models'.
Eingabe-Schema
{
"type": "object",
"properties": {
"days": {
"type": "number",
"description": "Look-back window, default 30"
},
"limit": {
"type": "number",
"description": "Default 25"
}
}
}⚪register_stats
Summary of what the register covers: how many models, field coverage, organisations tracked, and the inclusion rule. Use to judge whether the register can answer a question before querying it.
Eingabe-Schema
{
"type": "object",
"properties": {}
}🟢search_news(query, topic, limit)
Search stories published by The Neural Net. Each story is written from a primary source and links to it. Use for narrative context on a release rather than raw model facts.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Substring match on headline and summary"
},
"topic": {
"type": "string",
"description": "e.g. models, products, infrastructure, research, policy, safety"
},
"limit": {
"type": "number",
"description": "Default 10"
}
}
}🟡get_wire
Everything The Neural Net harvested in the last day that it did not write up, grouped by source and linked to the original. Use for a broad view of current activity.
Eingabe-Schema
{
"type": "object",
"properties": {}
}Community
Nachweis