ModelsLab v8
ModelsLab v8 generation APIs: discover models, providers and endpoints, then run them.
사용해야 할까요
품질 및 안전성
발견 사항 (8)
- LOWlist-models에서
- LOWlist-providers에서
- LOWendpoint-details에서
- LOWimage-generation에서
- LOWvideo-generation에서
- LOWaudio-generation에서
- LOW3d-generation에서
- LOWfetch-generation에서
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"modelslab-v8": {
"url": "https://modelslab.com/mcp/v8"
}
}
}원격 엔드포인트
https://modelslab.com/mcp/v8streamable-http할 수 있는 일
도구 목록
도구 (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.
입력 스키마
{
"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.
입력 스키마
{
"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`.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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.
입력 스키마
{
"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"
입력 스키마
{
"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"
]
}커뮤니티
증거