ChinaAPI

Read-only ChinaAPI model catalogue, price snapshot, cost estimates and request recipes.

我该使用它吗

质量与安全性

A
描述质量
100%
模式完整度
97%
命名质量
80%
投毒风险
100%
权限匹配度
100%
协议合规性
100%

基于对工具定义和协议合规性的自动分析。

上下文开销

~1,809token 数(工具定义)
~3.9 KB典型响应大小
对注意力有中等影响(占 128k 上下文窗口的 1.41%)

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": {
    "chinaapi": {
      "url": "https://api.chinaapi.ai/mcp"
    }
  }
}

远程端点

https://api.chinaapi.ai/mcpstreamable-http

它能做什么

工具清单

工具(4)

🟢 只读🟡 写入🔴 删除⚪ 未知
🟢chinaapi_estimate_cost(audio_input_tokens, audio_output_tokens, audio_seconds, cache_read_tokens, cache_write_1h_tokens, ...)

Estimate the USD cost of a workload on one model from its published per-meter prices: Standard, and Paid where it is lower. Pass quantities in the model's own units — tokens for text models, characters for speech synthesis, audio seconds for transcription, requests, images or video seconds for per-call and per-second models; a quantity the model does not price is refused. Tiered models are estimated tier by tier. The result is an estimate, not a quote.

输入模式

{
  "type": "object",
  "properties": {
    "audio_input_tokens": {
      "description": "Quantity in tokens for the audio_input meter (models billed in tokens).",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "audio_output_tokens": {
      "description": "Quantity in tokens for the audio_output meter (models billed in tokens).",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "audio_seconds": {
      "description": "Quantity in audio seconds for the input meter (models billed in audio_duration).",
      "maximum": 100000000,
      "minimum": 0,
      "type": "integer"
    },
    "cache_read_tokens": {
      "description": "Quantity in tokens for the cache_read meter (models billed in tokens).",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "cache_write_1h_tokens": {
      "description": "Quantity in tokens for the cache_write_1h meter (models billed in tokens).",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "cache_write_tokens": {
      "description": "Quantity in tokens for the cache_write meter (models billed in tokens).",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "characters": {
      "description": "Quantity in characters for the input meter (models billed in characters).",
      "maximum": 10000000000,
      "minimum": 0,
      "type": "integer"
    },
    "context_tokens": {
      "description": "Input context length used to choose a context-length tier. Only for models whose tiers depend on context length; defaults to the input and cache tokens.",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "image_input_tokens": {
      "description": "Quantity in tokens for the image_input meter (models billed in tokens).",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "image_output_tokens": {
      "description": "Quantity in tokens for the image_output meter (models billed in tokens).",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "images": {
      "description": "Quantity in images for the image_n meter.",
      "maximum": 100000000,
      "minimum": 0,
      "type": "integer"
    },
    "input_tokens": {
      "description": "Quantity in tokens for the input meter (models billed in tokens).",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "model": {
      "description": "Exact, case-sensitive model ID as returned by chinaapi_list_models.",
      "maxLength": 128,
      "minLength": 1,
      "pattern": "^[A-Za-z0-9][A-Za-z0-9._:/-]{0,127}$",
      "type": "string"
    },
    "output_tokens": {
      "description": "Quantity in tokens for the output meter (models billed in tokens).",
      "maximum": 1000000000000,
      "minimum": 0,
      "type": "integer"
    },
    "requests": {
      "description": "Quantity in requests for the per_call meter.",
      "maximum": 100000000,
      "minimum": 0,
      "type": "integer"
    },
    "video_seconds": {
      "description": "Quantity in seconds for the video_second meter.",
      "maximum": 100000000,
      "minimum": 0,
      "type": "integer"
    }
  },
  "required": [
    "model"
  ],
  "additionalProperties": false
}
🟢chinaapi_get_model(model)

Get one model by its exact ID: base URL and endpoints, the Standard and Paid price snapshot per meter with the time it was read and the price-book versions, context window and modalities, capability contract, limits, and ChinaAPI links (model page, a start link to try it, the agents guide). The live price on the model page is authoritative.

输入模式

{
  "type": "object",
  "properties": {
    "model": {
      "description": "Exact, case-sensitive model ID as returned by chinaapi_list_models.",
      "maxLength": 128,
      "minLength": 1,
      "pattern": "^[A-Za-z0-9][A-Za-z0-9._:/-]{0,127}$",
      "type": "string"
    }
  },
  "required": [
    "model"
  ],
  "additionalProperties": false
}
🟢chinaapi_get_recipe(agent, capability, model, protocol)

Get a runnable request for one model — endpoint, headers, JSON body or multipart form, a curl command, and for video the polling step — exactly as ChinaAPI's /agents page shows it. Optionally include the configuration that points a coding agent (Claude Code, Codex, Cursor, …) at ChinaAPI. The request uses $CHINAAPI_KEY; never put a real key into it.

输入模式

{
  "type": "object",
  "properties": {
    "agent": {
      "description": "Also return the configuration that points this coding agent at ChinaAPI, as ChinaAPI's /agents page shows it.",
      "enum": [
        "Hermes Agent",
        "Claude Code",
        "Cline",
        "Kilo Code",
        "pi",
        "Codex",
        "Oh-My-Pi",
        "OpenClaw",
        "DeepSeek Harness",
        "OpenHands",
        "Cursor",
        "Zed Editor",
        "Strix",
        "goose",
        "Qwen Code",
        "GitHub Copilot",
        "opencode",
        "Open Interpreter",
        "Crush"
      ],
      "type": "string"
    },
    "capability": {
      "description": "Which of the model's capabilities the request is for; defaults to its first published capability.",
      "enum": [
        "text-multimodal",
        "image",
        "video",
        "audio-speech",
        "decision"
      ],
      "type": "string"
    },
    "model": {
      "description": "Exact, case-sensitive model ID as returned by chinaapi_list_models.",
      "maxLength": 128,
      "minLength": 1,
      "pattern": "^[A-Za-z0-9][A-Za-z0-9._:/-]{0,127}$",
      "type": "string"
    },
    "protocol": {
      "description": "Inbound protocol for text models: openai (/v1/chat/completions), anthropic (/v1/messages) or responses (/v1/responses). Defaults to the agent's protocol, else openai.",
      "enum": [
        "anthropic",
        "openai",
        "responses"
      ],
      "type": "string"
    }
  },
  "required": [
    "model"
  ],
  "additionalProperties": false
}
🟢chinaapi_list_models(capability, cursor, limit, maker, query, ...)

List the models ChinaAPI serves, optionally filtered by capability, task, maker or a model-ID substring. Each entry has the exact model ID, maker, capabilities and tasks, context window, headline Standard prices (and Paid prices where they are lower) and the model's ChinaAPI page. Sorted by maker, then model ID; page with cursor. Use chinaapi_get_model for one model's endpoints, full prices and limits.

输入模式

{
  "type": "object",
  "properties": {
    "capability": {
      "description": "Capability direction: text-multimodal (chat, reasoning, coding, vision), image, video, audio-speech or decision.",
      "enum": [
        "text-multimodal",
        "image",
        "video",
        "audio-speech",
        "decision"
      ],
      "type": "string"
    },
    "cursor": {
      "description": "next_cursor from the previous page.",
      "pattern": "^[0-9]{1,6}$",
      "type": "string"
    },
    "limit": {
      "default": 20,
      "description": "Models per page.",
      "maximum": 50,
      "minimum": 1,
      "type": "integer"
    },
    "maker": {
      "description": "Maker name exactly as returned in maker (case-insensitive), e.g. DeepSeek.",
      "maxLength": 64,
      "minLength": 1,
      "type": "string"
    },
    "query": {
      "description": "Case-insensitive substring of the model ID.",
      "maxLength": 64,
      "minLength": 2,
      "pattern": "^[A-Za-z0-9._:/-]+$",
      "type": "string"
    },
    "task": {
      "description": "A task within a capability, e.g. image-to-video or transcription. Must belong to capability when both are given.",
      "enum": [
        "chat",
        "reasoning",
        "coding",
        "vision",
        "file-video-understanding",
        "text-to-image",
        "image-to-image",
        "image-editing",
        "high-resolution",
        "text-to-video",
        "image-to-video",
        "first-last-frame",
        "reference-to-video",
        "video-editing",
        "video-with-audio",
        "text-to-speech",
        "transcription",
        "voice-cloning",
        "voice-design",
        "audio-understanding",
        "music-generation",
        "audio-generation",
        "structured-decision"
      ],
      "type": "string"
    }
  },
  "additionalProperties": false
}

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