nirholas

Vision MCP — Data skill for Claude Code

Data community

Let any AI agent see — analyze and describe images through the three.ws vision pipeline.

How to install Vision MCP

This entry records only its repository, not the path inside it, so there is no exact command to give. Open nirholas/vision-mcp and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Vision MCP does

Let any AI agent see — analyze and describe images through the three.ws vision pipeline. Free NVIDIA NIM VLMs first, with an automatic server-side paid backstop. Pass an image URL or base64 and get a structured, natural-language read. Read-only, no key required.

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README

three.ws

@three-ws/vision-mcp

Let any AI agent see — analyze and describe images through the three.ws vision pipeline, free-first and no key required.

npm license node MCP Registry three.ws


A [Model Context Protocol](https://modelcontextprotocol.io) server that gives any AI assistant **image understanding** over stdio. Pass an image as a public URL or base64 and the agent can read the text in a screenshot, identify what's in a scene, critique a 3D/avatar render, or write alt-text — all live, read-only, no key required.

Every answer comes from the three.ws vision pipeline: **free NVIDIA NIM vision models lead every request**, with an automatic server-side paid backstop behind them. The caller never pays and needs no provider key — point `THREE_WS_BASE` at a deployment and go.

Install

npm install @three-ws/vision-mcp

Or run with `npx` (no install):

npx @three-ws/vision-mcp

Quick start

**Claude Code**, one line:

claude mcp add vision -- npx -y @three-ws/vision-mcp

**Claude Desktop / Cursor** (`claude_desktop_config.json` or `mcp.json`):

{
	"mcpServers": {
		"vision": {
			"command":