mcp-sight

Give Claude Code the power of sight — describe images using any vision-capable LLM (OpenAI-compatible API).

Setup

Method 1: claude mcp add (recommended)

claude mcp add mcp-sight \
  --scope user \
  --env VISION_API_KEY=sk-your-api-key \
  --env VISION_BASE_URL=https://api.openai.com/v1 \
  --env VISION_MODEL=gpt-4o \
  -- bunx --bun mcp-sight

Method 2: Edit ~/.claude.json directly

Add to the mcpServers block in ~/.claude.json:

{
  "mcpServers": {
    "mcp-sight": {
      "command": "bunx",
      "args": ["--bun", "mcp-sight"],
      "env": {
        "VISION_API_KEY": "sk-your-api-key",
        "VISION_BASE_URL": "https://api.openai.com/v1",
        "VISION_MODEL": "gpt-4o"
      }
    }
  }
}

Method 3: .mcp.json for team sharing

Same JSON as above, placed in <project>/.mcp.json — commit to git so the whole team gets it.

Environment Variables

| Variable | Required | Default | Description | |---|---|---|---| | VISION_API_KEY | Yes | — | API key for the vision provider | | VISION_BASE_URL | No | https://api.openai.com/v1 | OpenAI-compatible API base URL | | VISION_MODEL | No | mimo-v2.5 | Model ID for vision requests |

Tool: see_image

When you send an image to Claude Code, it can call this tool to "see" it.

| Parameter | Type | Required | Description | |---|---|---|---| | image_path | string | Yes | Absolute path to the image file | | prompt | string | No | What to focus on in the image | | context | string | No | Background context from your conversation | | detail_level | "brief" | "standard" | "detailed" | No | How much detail (default: "standard") |

Supported Image Formats

JPEG, PNG, GIF, WebP, BMP, SVG, TIFF, ICO, HEIC, HEIF

License

MIT