kimi-read-image-mcp

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

Related MCP server: simple-vision-mcp

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

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