Kimi Vision Server

MCP server for Kimi (Moonshot AI) vision models — analyze images through the OpenAI-compatible /chat/completions endpoint at https://api.moonshot.cn/v1.

Features

• 🖼️ Analyze images (local files: png/jpg/jpeg/gif/webp)
• 🧠 Auto-pick strongest thinking mode per model:
  • kimi-k3 → reasoning_effort: "max"
  • kimi-k2.6 / kimi-k2.5 / kimi-k2.7-code → thinking: {type: "enabled"}
• 📏 Up to 1M token context (kimi-k3)
• 💰 Same billing as Moonshot V1 — see pricing
• ⚡ One-line npx deploy, zero non-MCP dependencies

Requirements

• Node.js >= 18
• A platform.kimi.com API key

Install & run

cd kimi-vision-mcp-server
npm install
npm start

Environment variables

Variable	Required	Default	Description
KIMI_API_KEY	✅	—	Your Kimi/Moonshot API key. (MOONSHOT_API_KEY also accepted.)
KIMI_MODEL		kimi-k3	Model name. Vision-capable: kimi-k3, kimi-k2.7-code, kimi-k2.6, kimi-k2.5, moonshot-v1-*-vision-preview.
KIMI_BASE_URL		https://api.moonshot.cn/v1	Override endpoint (for proxies).
KIMI_MAX_TOKENS		4096	Default max output tokens.

Claude Code / CC-Switch config

{
  "mcpServers": {
    "kimi-vision": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "kimi-vision-mcp-server"],
      "env": {
        "KIMI_API_KEY": "your-kimi-api-key",
        "KIMI_MODEL": "kimi-k3"
      }
    }
  }
}

Or run from a local checkout:

{
  "mcpServers": {
    "kimi-vision": {
      "command": "node",
      "args": ["D:\\GitHub\\Claude\\MCP\\Kimi\\kimi-vision-mcp-server\\src\\index.js"],
      "env": {
        "KIMI_API_KEY": "your-key-here"
      }
    }
  }
}

Tool: kimi_vision_understand

Parameter	Type	Required	Description
image	string	✅	Local image file path (C:/path/to/x.png) or ms://<file-id> for pre-uploaded. Remote HTTP URLs NOT supported.
prompt	string	✅	What to ask about the image.
detail	enum		auto / low / high. Default auto.
max_tokens	number		Max output tokens. Default 4096.
thinking	bool		Enable reasoning. Default false. Auto-mapped per model.

Important: Remote URLs not supported

Kimi's vision API does not accept remote HTTP image URLs (per the official docs). You must either:

• Pass a local file path (the MCP will inline it as base64), or
• Upload to Moonshot first and pass ms://<file-id> (advanced).

Remote URLs are rejected with a clear error message.

Why no temperature parameter?

Per the Kimi API model params reference, all current Kimi models have fixed temperature:

Model	Temperature
kimi-k3	fixed 1.0
kimi-k2.7-code (and -highspeed)	fixed 1.0
kimi-k2.6 thinking	fixed 1.0
kimi-k2.6 non-thinking	fixed 0.6
kimi-k2.5 thinking	fixed 1.0
kimi-k2.5 non-thinking	fixed 0.6

Passing any other value returns HTTP 400. Moonshot has already tuned each model to its optimal temperature, so this MCP deliberately omits the parameter and lets the API use its built-in default. Use the thinking flag to switch between the 1.0 / 0.6 modes for K2.6 / K2.5.

Why Kimi for vision?

• Longest context: kimi-k3 ships with 1M tokens — useful for analyzing long documents alongside images.
• Strong Chinese & English OCR.
• Native video understanding on kimi-k3 / kimi-k2.7-code / kimi-k2.6 (not exposed by this MCP yet — file upload only).
• Cost-effective: ¥2/M output for the flagship.

Related projects

• doubao-vision-mcp-server — ByteDance Doubao vision
• glm-vision-mcp-server — Zhipu GLM-5V-Turbo
• qwen-vision-mcp-server — Alibaba Qwen3.7-plus
• @kira4094/agnes-image-mcp-server — Agnes Image (text-to-image)

License

MIT