Kimi Read Image
БесплатноНе проверенMinimal MCP server for Kimi-compatible image analysis, allowing local images to be sent as inline base64 to any compatible endpoint.
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_urlpart - 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 fileprompt: optional instruction such asDescribe 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/listandtools/call
License
MIT
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-mcpFAQ
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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