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i-richardwang

Vision MCP

by i-richardwang
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Python
Hybrid

Vision MCP

MCP server for image analysis using Vision Language Models.

Quickstart

  1. Install uv (Python package manager):

    curl -LsSf https://astral.sh/uv/install.sh | sh

  2. Configure your MCP client (e.g., Claude Desktop):

Go to Claude > Settings > Developer > Edit Config > claude_desktop_config.json:

{ "mcpServers": { "Vision": { "command": "uvx", "args": ["vision-mcp"], "env": { "OPENAI_API_KEY": "your-api-key", "OPENAI_API_BASE": "https://api.openai.com", "OPENAI_MODEL": "gpt-4o" } } } }

Environment Variables

Variable

Required

Description

OPENAI_API_KEY

Yes

API key for authentication

OPENAI_API_BASE

Yes

API base URL

OPENAI_MODEL

Yes

Model name for vision tasks

Available Tools

Tool

Description

analyze_image

Analyze images using Vision Language Model

analyze_image

Analyze and understand image content from files or URLs.

Parameters:

  • prompt (str): The text prompt describing what to analyze

  • image_source (str): Image URL or local file path

Supported formats: JPEG, PNG, WebP

License

MIT

Acknowledgments

This project is inspired by MiniMax-Coding-Plan-MCP by MiniMax AI.

One-click Deploy
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

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