A
licenseNot graded
qualityD
maintenanceEnables text-only LLMs to analyze images by routing them to an OpenAI-compatible vision backend, supporting local files, URLs, and data URLs.
18 npm
MIT
Vision MCP
Provides image analysis capabilities using OpenAI's Vision Language Models, enabling analysis and understanding of image content from files or URLs through the analyze_image tool.
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Vision MCP describe this image: https://example.com/photo.jpg"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Vision MCP
MCP server for image analysis using Vision Language Models.
Quickstart
Install
uv(Python package manager):curl -LsSf https://astral.sh/uv/install.sh | shConfigure 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"
}
}
}
}Related MCP server: Image Parse MCP
Environment Variables
Variable | Required | Description |
| Yes | API key for authentication |
| Yes | API base URL |
| Yes | Model name for vision tasks |
Available Tools
Tool | Description |
| 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 analyzeimage_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.
Available Tools
1 toolanalyze_imageA
A powerful LLM that can analyze and understand image content from files or URLs, follow your instruction.
Use this tool to analyze images by LLM.
Only support jpeg, png, webp formats. Other formats like pdf/gif/psd/svg and so on are not supported.
Args:
prompt (str): The text prompt describing what you want to analyze or extract from the image.
image_source (str): The source location of the image to analyze.
Accepts:
- HTTP/HTTPS URL: "https://example.com/image.jpg"
- Local file path:
- Relative path: "images/photo.png"
- Absolute path: "/Users/username/Documents/image.jpg"
IMPORTANT: If the file path starts with @ symbol, you MUST remove the @ prefix before passing to this function.
For example:
- If you see "@Documents/photo.jpg", use "Documents/photo.jpg"
- If you see "@/Users/username/image.png", use "/Users/username/image.png"
Supported formats: JPEG, PNG, WebP
Returns:
Text content with the image analysis result.
Inputs: prompt (required), image_source (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
A3.7/5.0
Scored across 1 tool
Disambiguation5/5
With only one tool, there is no possibility of confusion or overlap between tools. The tool 'analyze_image' has a singular, clearly defined purpose of analyzing image content, making disambiguation perfect.
Naming Consistency5/5
A single tool inherently has consistent naming, as there are no other tools to compare it against. The name 'analyze_image' follows a clear verb_noun pattern, which would be consistent if more tools were added.
Tool Count2/5
A single tool for a 'Vision MCP' server feels thin and incomplete for the apparent scope of image analysis. While the tool is powerful, the domain likely requires more operations (e.g., image processing, comparison, or metadata extraction) to be well-scoped, making the count too low.
Completeness2/5
The tool surface is severely incomplete for a vision-related domain. It only provides analysis, with no support for other common operations like image generation, editing, filtering, or batch processing. This will cause agent failures when tasks require more than basic analysis.
Maintenance
ActivityInactive
ResponsivenessOutdated data
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