Kimi Vision MCP 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

Related MCP server: readpic MCP Server

Requirements

• Node.js >= 18

• A platform.kimi.com API key

Install & run

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

Environment variables

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

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:

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