vision-mcp

vision-mcp

MCP server that provides an analyze_image tool using OpenAI-compatible vision LLMs to describe images from file paths, URLs, or base64 data.

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README

@winton979/vision-mcp

MCP server that exposes an analyze_image tool backed by an OpenAI-compatible vision LLM (GPT-4o, Qwen-VL, etc.).

What it does

Provides a single MCP tool analyze_image that accepts an image via:

  • path — local file path
  • url — public http(s) URL
  • base64 — raw base64 string (with or without data: prefix)

and returns a text description from the configured vision model.

Prerequisites

  • Node.js ≥ 18 (global fetch required)

Configuration

Set these environment variables when configuring the MCP server:

Variable Required Default Description
VISION_BASE_URL No https://api.openai.com/v1 OpenAI-compatible API base URL
VISION_API_KEY Yes — API key for the gateway
VISION_MODEL No gpt-4o Vision model name

Claude Code setup

macOS / Linux

Add to ~/.claude.json or ~/.claude/.mcp.json:

{
  "mcpServers": {
    "vision": {
      "command": "npx",
      "args": ["-y", "@winton979/vision-mcp"],
      "env": {
        "VISION_BASE_URL": "<your-base-url>",
        "VISION_API_KEY": "<your-api-key>",
        "VISION_MODEL": "<your-model>"
      }
    }
  }
}

Windows

{
  "mcpServers": {
    "vision": {
      "command": "cmd",
      "args": ["/c", "npx", "-y", "@winton979/vision-mcp"],
      "env": {
        "VISION_BASE_URL": "<your-base-url>",
        "VISION_API_KEY": "<your-api-key>",
        "VISION_MODEL": "<your-model>"
      }
    }
  }
}

Codex setup

macOS / Linux

Add to ~/.codex/config.toml:

[mcp_servers.vision-mcp]
type = "stdio"
command = "npx"
args = ["-y", "@winton979/vision-mcp"]
env = { VISION_BASE_URL = "<your-base-url>", VISION_API_KEY = "<your-api-key>", VISION_MODEL = "<your-model>" }

Windows

[mcp_servers.vision-mcp]
type = "stdio"
command = "npx"
args = ["-y", "@winton979/vision-mcp"]
env = { VISION_BASE_URL = "<your-base-url>", VISION_API_KEY = "<your-api-key>", VISION_MODEL = "<your-model>" }

Tool: analyze_image

Parameter Type Required Description
path string one of three Local file path to the image
url string one of three Public http(s) URL of the image
base64 string one of three Raw base64 string
mime_type string No Override MIME type (auto-detected)
prompt string No What to ask the model (defaults to detailed description)
model string No Override model per call
max_tokens integer No Default 4096
temperature number No Default 0.2
detail string No low / high / auto
system string No Optional system message

Local development

git clone https://github.com/winton979/vision-mcp.git
cd vision-mcp
npm install
npm run build

# Run smoke test
SMOKE_IMAGE=/path/to/test.png VISION_API_KEY=sk-... npm run smoke

License

MIT

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