three.ws Concierge

@three-ws/concierge-mcp

Ask any website's AI concierge a grounded question, and generate the embed to add one to a site, from any AI assistant.

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A Model Context Protocol server that puts the three.ws Concierge, the embeddable AI chat widget with a talking 3D avatar, in reach of any AI assistant over stdio.

Three tools:

Tool	What it does	Network
concierge_ask	Ask a website's AI concierge a question. Give it a url and it fetches that page and answers grounded in the real content (title, headings, nav, main text), the way to ask any website a question. Or pass knowledge/content to answer from text you already have.	Free three.ws lane + fetches the URL
concierge_embed	Generate ready-to-paste embed code that adds a Concierge to a website: the one-tag <script>, the <three-concierge> web component, an npm snippet, or an imperative mount() call, configured with accent, avatar, greeting, curated knowledge, and suggested prompts.	Offline
concierge_avatars	List the rigged 3D avatars a Concierge can wear.	Offline

No API key, no signer, no payment. concierge_ask runs on the public, free POST /api/concierge answer lane; the other two are pure local generators.

Install

npm install @three-ws/concierge-mcp

Or run with npx (no install):

npx @three-ws/concierge-mcp

Quick start

Claude Code, one line:

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

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

{
	"mcpServers": {
		"concierge": {
			"command": "npx",
			"args": ["-y", "@three-ws/concierge-mcp"]
		}
	}
}

Inspect the surface with the MCP Inspector:

npx -y @modelcontextprotocol/inspector npx -y @three-ws/concierge-mcp

What you can do with it

Ask any website a question, grounded in its real content:

Use concierge_ask to answer "what does the Pro plan include?" from https://example.com/pricing

The server fetches the page, harvests its readable text, sends it to the concierge answer engine, and returns an answer that is told not to invent anything the page doesn't say.

Ask from text you already have (no URL):

concierge_ask: question = "what's the refund window?", knowledge = "Returns accepted within 30 days."

Generate a copy-paste embed for a site:

Use concierge_embed for siteName "Acme", accent "#f97316", avatar "nova", suggestions ["What is Acme?", "Pricing?"], flavor "script"

Returns the exact <script> tag to drop into the site's HTML.

Pick an avatar first:

concierge_avatars → then use the id you like as concierge_embed's avatar

Tools in detail

concierge_ask

Read-only, open-world.

Parameter	Type	Notes
question	string (required)	The question, in natural language.
url	string (url)	A page to ground the answer in. Fetched + harvested.
siteName	string	Display name; inferred from the page when omitted.
knowledge	string	Curated authoritative facts. Leads over harvested text.
content	string	Raw text to ground in when you pass no url.
persona	string	Tone instruction for the reply.
lang	string	BCP-47 hint, e.g. en, es.

At least one of url, knowledge, or content is required. Returns { ok, question, answer, grounded_in, provider, model, endpoint }.

concierge_embed

Read-only, idempotent, offline.

Key parameters: siteName, flavor (script | web-component | npm | imperative | all, default all), accent, avatar, customAvatar, position, theme, greeting, persona, knowledge, suggestions[], endpoint, muted, open, noPicker, noTeaser, lang. Returns { ok, flavor, snippets, applied_config, docs }. The script, web-component, and imperative snippets are all plain-HTML paste-ready (they load the CDN global build); the npm snippet is for bundler users.

concierge_avatars

Read-only, idempotent, offline. No parameters. Returns { ok, default, count, avatars, note }, each avatar carrying id, name, tagline, style, and framing.

Configuration

All optional environment variables:

Variable	Default	Purpose
THREE_WS_BASE	https://three.ws	API origin for the answer call + the origin the embed snippets point at.
THREE_WS_TIMEOUT_MS	45000	Timeout for the concierge answer (it may fail over across LLM providers).
CONCIERGE_PAGE_TIMEOUT_MS	12000	Timeout for fetching a page in concierge_ask.

Errors

A failed tool call returns an MCP error result (isError: true) whose text is a single JSON object: { "ok": false, "error": "<code>", "message": "…" }, plus status on upstream rejections:

error	Meaning	Recovery
bad_request	Bad arguments: no url/knowledge/content on concierge_ask, a non-http(s) url, or an unknown avatar id.	Fix the call.
unsupported_media	The fetched url is not an HTML/text page.	Point at a readable page, or pass content.
upstream_error	The answer endpoint rejected the request; status carries the HTTP code (429 = the free lane's IP rate limit).	Act on status; back off on 429.
stream_error	The answer stream failed before completing.	Retry.
timeout	No answer within THREE_WS_TIMEOUT_MS, or the page fetch outran CONCIERGE_PAGE_TIMEOUT_MS.	Retry or raise the timeout.
network_error	The request never reached the API (DNS, offline, TLS).	Check connectivity / THREE_WS_BASE.
bad_config	THREE_WS_TIMEOUT_MS is not a positive number. Thrown while the server starts (module load), so the process exits before serving.	Fix the env var.

How it relates to the widget

This server is the agent-facing side of @three-ws/concierge, the browser widget. Same answer engine, same avatar catalog, same grounding model, exposed as MCP tools so an assistant can use a site's concierge or install one, not just a human visitor.

• Widget + docs: three.ws/concierge
• Reference docs: three.ws/docs/concierge
• Build tutorial: three.ws/docs/tutorials/build-a-site-concierge

Develop

npm test    # node --test, offline (registration, harvest, embed, SSE parsing)
npm start   # run the server over stdio

A live end-to-end check against a running three.ws (test/_manual-e2e.mjs) drives all three tools through a real stdio client; see the file header to run it.

License

Apache-2.0. See LICENSE. Free to run against the public three.ws API.