sceneview MCP工具

Install

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MCP setup

claude mcp add sceneview -- npx -y sceneview-mcp   # Claude Code
codex  mcp add sceneview -- npx -y sceneview-mcp   # Codex
copilot mcp add sceneview -- npx -y sceneview-mcp  # GitHub Copilot CLI

// Cursor (.cursor/mcp.json), Cline, JetBrains AI Assistant
{ "mcpServers": { "sceneview": { "command": "npx", "args": ["-y", "sceneview-mcp"] } } }
// VS Code (.vscode/mcp.json) uses the "servers" key instead
{ "servers": { "sceneview": { "type": "stdio", "command": "npx", "args": ["-y", "sceneview-mcp"] } } }

Clients that only speak HTTP (Gemini in Android Studio, ChatGPT) use the hosted endpoint https://mcp.sceneview.dev/mcp, or run their own with npx sceneview-mcp --http. Per-client snippets: sceneview.github.io/#ai-setup. Listed on the MCP Registry.

Quick start

One minimal, working example per platform. The full reference for each is in llms.txt.

Samples

ChatGPT / Codex plugin

This repository is also an OpenAI plugin: .codex-plugin/plugin.json points at the three skills under agents/ (sceneview, sceneview-ios, sceneview-web). From a checkout:

codex plugin marketplace add "$PWD"    # absolute path — a relative one does not resolve
codex plugin add sceneview@sceneview-local

Codex also discovers the skills from .agents/skills/ on its own. Over HTTP the MCP server carries an inline view_3d_model widget that renders a public GLB/glTF URL in the conversation. Listing copy and test prompts: agents/OPENAI-PLUGIN.md.

Claude Code plugin

/plugin marketplace add sceneview/claude-marketplace, then /plugin install sceneview@sceneview, installs the same three skills as the Codex plugin together with the MCP server. The commands used to work on this repository are a separate plugin, sceneview-contrib@sceneview — see sceneview/claude-marketplace.

Vertical MCP servers (Rerun AR debugging and others) are listed in the MCP README.

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