ModelsLab v8

ModelsLab v8 generation APIs: discover models, providers and endpoints, then run them.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
96%
命名质量
57%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

发现(8)

  • LOWTool 'list-models' doesn't follow camelCase/snake_case在 list-models 中
  • LOWTool 'list-providers' doesn't follow camelCase/snake_case在 list-providers 中
  • LOWTool 'endpoint-details' doesn't follow camelCase/snake_case在 endpoint-details 中
  • LOWTool 'image-generation' doesn't follow camelCase/snake_case在 image-generation 中
  • LOWTool 'video-generation' doesn't follow camelCase/snake_case在 video-generation 中
  • LOWTool 'audio-generation' doesn't follow camelCase/snake_case在 audio-generation 中
  • LOWTool '3d-generation' doesn't follow camelCase/snake_case在 3d-generation 中
  • LOWTool 'fetch-generation' doesn't follow camelCase/snake_case在 fetch-generation 中

基于对工具定义和协议合规性的自动分析。

上下文开销

~2,113token 数(工具定义)
~1.7 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.65%)

这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高,可用于其他任务的注意力就越少。

安装

一键安装

将以下内容添加到你的 `claude_desktop_config.json` 文件中:

{
  "mcpServers": {
    "modelslab-v8": {
      "url": "https://modelslab.com/mcp/v8"
    }
  }
}

远程端点

https://modelslab.com/mcp/v8streamable-http

它能做什么

工具清单

工具(8)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢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.

输入模式

{
  "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.

输入模式

{
  "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`.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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.

输入模式

{
  "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"

输入模式

{
  "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"
  ]
}

社区

评价此服务器

证据

最近观测

已验证未记录版本8 个工具