ModelsLab v8
ModelsLab v8 generation APIs: discover models, providers and endpoints, then run them.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (8)
- LOWin list-models
- LOWin list-providers
- LOWin endpoint-details
- LOWin image-generation
- LOWin video-generation
- LOWin audio-generation
- LOWin 3d-generation
- LOWin fetch-generation
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": {
"modelslab-v8": {
"url": "https://modelslab.com/mcp/v8"
}
}
}Remote-Endpunkte
https://modelslab.com/mcp/v8streamable-httpWas es kann
Tool-Inventar
Tools (8)
🟢list-models(feature, category, subcategory, provider, search, ...)
List available AI models on the ModelsLab platform. Filter by category (imagen, video, audio, llm, 3d), provider, tags, and more. Returns model IDs that can be used with generation tools.
Eingabe-Schema
{
"type": "object",
"properties": {
"feature": {
"description": "Filter by product feature: \"imagen\" (images), \"videofusion\" (videos), \"audiogen\" (audio/voice), \"llmaster\" (LLMs), \"threedverse\" (3D).",
"type": "string"
},
"category": {
"description": "Filter by model category (e.g., \"stable_diffusion\", \"stable_diffusion_xl\", \"flux\", \"llm\", \"video\", \"voice_cloning\").",
"type": "string"
},
"subcategory": {
"description": "Filter by model subcategory (e.g., \"lora\", \"controlnet\", \"embeddings\", \"checkpoint\").",
"type": "string"
},
"provider": {
"description": "Filter by model provider (e.g., \"modelslab\", \"civitai\").",
"enum": [
"alibaba_cloud",
"bfl",
"byteplus",
"elevenlabs",
"google",
"groq",
"higgsfield",
"inworld",
"klingai",
"ltx",
"minimax",
"modelslab",
"mulerouter",
"open_router",
"openai",
"recraft",
"runway_ml",
"skyreels",
"sonauto",
"sync",
"tencent",
"together_ai",
"vidu",
"xai",
"zoho"
],
"type": "string"
},
"search": {
"description": "Search models by name, ID, description, or tags.",
"type": "string"
},
"nsfw": {
"description": "Set to false to exclude NSFW models, true to include them. Defaults to user preference.",
"type": "boolean"
},
"sort": {
"description": "Sort order: \"recommended\" (default), \"latest\", \"most-used\".",
"default": "recommended",
"type": "string"
},
"limit": {
"description": "Maximum number of models to return (1-100).",
"default": 20,
"type": "integer"
}
}
}🟢list-providers(feature, category)
List all available model providers on the ModelsLab platform. Returns provider names with model counts for each. Use provider names to filter models in the list-models tool.
Eingabe-Schema
{
"type": "object",
"properties": {
"feature": {
"description": "Filter providers by product feature: \"imagen\" (images), \"videofusion\" (videos), \"audiogen\" (audio/voice), \"llmaster\" (LLMs), \"threedverse\" (3D).",
"type": "string"
},
"category": {
"description": "Filter providers by model category (e.g., \"stable_diffusion\", \"flux\", \"llm\", \"video\").",
"type": "string"
}
}
}🟢endpoint-details(category, endpoint, search, limit, model_limit)
Search V8 endpoint configurations and retrieve their full parameter schemas plus all connected models that can be used with them. Use this tool before calling a generation tool so you know: - Exactly what `params` the endpoint expects (types, enums, defaults, required fields) - Which `model_id` values are valid for the endpoint Search modes: - Provide `category` + `endpoint` slug to look up a specific endpoint. - Provide `search` to find endpoints by name or description across all categories. - Combine both to narrow results to a category with a keyword search. Workflow: 1. Call this tool to get the parameter schema and available model IDs. 2. Pick a `model_id` from the `models` list in the response. 3. Call the appropriate generation tool (`image-generation`, `video-generation`, `audio-generation`, `3d-generation`) with `model_id`, `endpoint`, and `params`.
Eingabe-Schema
{
"type": "object",
"properties": {
"category": {
"description": "Narrow results to a V8 category: \"images\", \"videos\", \"audios\", or \"3ds\". Optional — omit to search all categories.",
"enum": [
"images",
"videos",
"audios",
"3ds"
],
"type": "string"
},
"endpoint": {
"description": "The endpoint slug to look up (e.g. \"text-to-image\", \"text-to-speech\"). Optional — omit to return all endpoints in the category.",
"enum": [
"flux-headshot"
],
"type": "string"
},
"search": {
"description": "Keyword to search endpoint names and descriptions (e.g. \"speech\", \"image turbo\").",
"type": "string"
},
"limit": {
"description": "Maximum number of endpoint configurations to return (1–20). Defaults to 10.",
"default": 10,
"type": "integer"
},
"model_limit": {
"description": "Maximum number of connected models to return per endpoint, sorted by popularity (1–20). Defaults to 5.",
"default": 5,
"type": "integer"
}
}
}🟢image-generation(model_id, endpoint, params)
Generate images using the ModelsLab V8 API. Supports any image endpoint (text-to-image, image-to-image, inpaint, outpaint, fashion, virtual-try-on, etc.). Pass the `endpoint` slug (e.g. "text-to-image") and all required parameters for that endpoint. Returns a request ID that can be used with the fetch-generation tool to retrieve results. Use the list-models tool to find available model IDs.
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"description": "The model ID to use for image generation.",
"type": "string"
},
"endpoint": {
"description": "The image operation slug.",
"enum": [
"flux-headshot"
],
"type": "string"
},
"params": {
"description": "Additional parameters for the endpoint (e.g. prompt, negative_prompt, width, height, init_image, mask_image, webhook, track_id).",
"type": "object"
}
},
"required": [
"model_id",
"endpoint"
]
}🟢video-generation(model_id, endpoint, params)
Generate videos using the ModelsLab V8 API. Supports any video endpoint (text-to-video, image-to-video, video-to-video, lip-sync, motion-control, etc.). Pass the `endpoint` slug (e.g. "text-to-video") and all required parameters for that endpoint. Returns a request ID that can be used with the fetch-generation tool to retrieve results. Use the list-models tool to find available model IDs.
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"description": "The model ID to use for video generation.",
"type": "string"
},
"endpoint": {
"description": "The video operation slug.",
"enum": [],
"type": "string"
},
"params": {
"description": "Additional parameters for the endpoint (e.g. prompt, init_image, init_video, init_audio, duration, aspect_ratio, webhook, track_id).",
"type": "object"
}
},
"required": [
"model_id",
"endpoint"
]
}🟢audio-generation(model_id, endpoint, params)
Generate audio using the ModelsLab V8 API. Supports any audio endpoint (text-to-speech, speech-to-text, speech-to-speech, sound-generation, music-generation, song-extender, song-inpaint, dubbing, etc.). Pass the `endpoint` slug (e.g. "text-to-speech") and all required parameters for that endpoint. Returns a request ID that can be used with the fetch-generation tool to retrieve results. Use the list-models tool to find available model IDs.
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"description": "The model ID to use for audio generation.",
"type": "string"
},
"endpoint": {
"description": "The audio operation slug.",
"enum": [],
"type": "string"
},
"params": {
"description": "Additional parameters for the endpoint (e.g. prompt, voice_id, init_audio, init_video, tags, lyrics, source_lang, output_lang, webhook, track_id).",
"type": "object"
}
},
"required": [
"model_id",
"endpoint"
]
}🟢3d-generation(model_id, endpoint, params)
Generate 3D models using the ModelsLab V8 API. Supports any 3D endpoint available on the platform. Pass the `endpoint` slug and all required parameters for that endpoint. Returns a request ID that can be used with the fetch-generation tool to retrieve results. Use the list-models tool to find available model IDs.
Eingabe-Schema
{
"type": "object",
"properties": {
"model_id": {
"description": "The model ID to use for 3D generation.",
"type": "string"
},
"endpoint": {
"description": "The 3D operation slug.",
"enum": [],
"type": "string"
},
"params": {
"description": "Additional parameters for the endpoint (e.g. prompt, init_image, webhook, track_id).",
"type": "object"
}
},
"required": [
"model_id",
"endpoint"
]
}🟢fetch-generation(id, type)
Check the status of a queued or processing generation request on the ModelsLab V8 API. Use this tool when a generation tool (image-generation, video-generation, audio-generation, 3d-generation) returns a `status` of `"processing"` along with a numeric `id`. Pass the `id` from the original generation response and the `type` matching the category of the original request (e.g. "images" for image-generation). The response will contain: - `status`: "success", "processing", or "error" - `output`: array of URLs when status is "success"
Eingabe-Schema
{
"type": "object",
"properties": {
"id": {
"description": "The numeric id returned by a generation tool when status was \"processing\".",
"type": "integer"
},
"type": {
"description": "The generation category matching the original request: \"images\", \"videos\", \"audios\", or \"3ds\".",
"enum": [
"images",
"videos",
"audios",
"3ds"
],
"type": "string"
}
},
"required": [
"id",
"type"
]
}Community
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