What are the main modes of the server?
Three modes: Docs (fetch/search 8th Wall docs), API (manage apps/scenes with credentials), and Local (edit local web XR projects with scene and asset tools).
@superdwayne
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"8thwall": {
"command": "node",
"args": [
"dist/index.js"
],
"env": {
"MODE": "local",
"EIGHTHWALL_BASE_URL": "https://www.8thwall.com",
"EIGHTHWALL_DOCS_ROOT": "https://www.8thwall.com/docs/",
"EIGHTHWALL_API_KEY": "<optional-if-API-mode>",
"PROJECT_ROOT": "./project"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
8th Wall Mcp is a Model Context Protocol (MCP) server that integrates with 8th Wall, supporting three modes: Docs mode (fetch and expose 8th Wall Studio docs as resources and tools), API mode (wrap 8th Wall endpoints to manage apps and scenes), and Local mode (project/file ops, asset search/download, and strategy guidance for local web XR projects). It is designed for developers building augmented reality and web XR experiences with A‑Frame or Three.js.
Install with Node.js 18+, run npm install and npm run build, then configure your MCP client (Claude Desktop, Cursor, or VS Code) with the server's stdio command and environment variables such as MODE (local, docs, or api), PROJECT_ROOT, and optionally EIGHTHWALL_API_KEY for API mode. The server provides tools for scaffolding projects, adding scene elements, managing assets, and running a local dev server.
Three modes: Docs (fetch/search 8th Wall docs), API (manage apps/scenes with credentials), and Local (edit local web XR projects with scene and asset tools).
Node.js 18+ (for native `fetch`) and npm. The server runs via stdio or an optional HTTP bridge.
Set `PROJECT_ROOT` to the project path in your MCP client configuration, or use the `desktop_list_projects` and `desktop_set_project` tools to discover and select a project folder.
Project tools include get info, list files, read/write/delete/move files, scaffold a new project, and export as a zip archive.
Run the HTTP bridge with `npm run http` (default port 8787), then use n8n's HTTP Request nodes to list tools (GET /tools) and invoke them (POST /tool/<toolName>) with JSON arguments.

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
A search tool helps dev to solve the naming things problem.

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3
Hindsight: Agent Memory That Learns
评论