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Kimi Read Image

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Minimal MCP server for Kimi-compatible image analysis, allowing local images to be sent as inline base64 to any compatible endpoint.

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Описание

Minimal MCP server for Kimi-compatible image analysis, allowing local images to be sent as inline base64 to any compatible endpoint.

README

Minimal MCP server for Kimi-compatible image analysis. It exposes exactly one tool, kimi_read_image, and sends local images as inline base64 image_url parts.

What It Does

  • Exposes one MCP tool: kimi_read_image
  • Reads a local image file and sends it as an inline base64 image_url part
  • No provider detection: works with any Kimi-compatible endpoint that accepts image_url

Supported Image Formats

  • image/jpeg (.jpg, .jpeg)
  • image/png (.png)
  • image/gif (.gif)
  • image/webp (.webp)
  • image/bmp (.bmp)
  • image/svg+xml (.svg)
  • image/x-icon (.ico)

Install

Use npx:

npx kimi-read-image-mcp@latest

Or install globally:

npm install -g kimi-read-image-mcp

MCP Setup

Moonshot example

{
  "mcpServers": {
    "kimi-image": {
      "command": "npx",
      "args": ["-y", "kimi-read-image-mcp@latest"],
      "env": {
        "KIMI_API_KEY": "your-api-key",
        "KIMI_API_BASE_URL": "https://api.moonshot.ai/v1",
        "KIMI_API_MODEL": "kimi-k2.6"
      }
    }
  }
}

Custom endpoint example

{
  "mcpServers": {
    "kimi-image": {
      "command": "npx",
      "args": ["-y", "kimi-read-image-mcp@latest"],
      "env": {
        "KIMI_API_KEY": "your-api-key",
        "KIMI_API_BASE_URL": "https://your-endpoint.example.com/v1",
        "KIMI_API_MODEL": "your-model"
      }
    }
  }
}

Base URL

The server calls the OpenAI-compatible /chat/completions endpoint, so KIMI_API_BASE_URL must be the base path that contains /v1.

  • Moonshot: https://api.moonshot.ai/v1
  • Kimi Coding: https://api.kimi.com/coding/v1

If you omit KIMI_API_BASE_URL, it defaults to https://api.moonshot.ai/v1.

Environment Variables

Variable Required Description
KIMI_API_KEY Yes API key for the target endpoint
KIMI_API_BASE_URL No OpenAI-compatible base URL; defaults to https://api.moonshot.ai/v1
KIMI_API_MODEL No Model override; defaults to kimi-k2.6

Tool

kimi_read_image

Analyze a local image file.

Arguments:

  • path: path to a local image file
  • prompt: optional instruction such as Describe this image in one short sentence.
  • workFolder: optional working directory for resolving relative paths

Important Limits

  • This project is intentionally minimal and only implements image analysis.
  • It does not expose video analysis, web search, shell, file editing, or agent workflows.
  • It does not implement OCR fallback or local model inference. If your chosen endpoint or model does not accept the native image flow implemented here, the tool fails fast.

Development

npm install
npm run build
npm test

Live tests require a local .env file:

KIMI_API_KEY=your-api-key
KIMI_API_BASE_URL=https://api.moonshot.ai/v1
KIMI_API_MODEL=kimi-k2.6

Then run:

npm run test:live

test:live runs:

  • a direct API smoke test for local image analysis
  • an SDK stdio MCP round-trip that verifies tools/list and tools/call

License

MIT

from github.com/hlf20010508/kimi-read-image-mcp

Установка Kimi Read Image

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/hlf20010508/kimi-read-image-mcp

FAQ

Kimi Read Image MCP бесплатный?

Да, Kimi Read Image MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Kimi Read Image?

Нет, Kimi Read Image работает без API-ключей и переменных окружения.

Kimi Read Image — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить Kimi Read Image в Claude Desktop, Claude Code или Cursor?

Открой Kimi Read Image на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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