BranderUX MCP

MCP serverWeb & browsing

This app turns your AI into a complete application that works on tasks with its own branded, interactive screens. Instead of plain text replies, your AI can generate screens at the moment they are needed. The result is something people can look at and interact with, not just read.

Available today. Use it from your connected AI after setup.

After adding it, ask your AI to create a screen for one of your everyday tasks. It will generate an interactive, branded display as it works.

Then ask your AI: use BranderUX MCP

What your AI can do with it

  • Generate branded, interactive screens while a task is in progress
  • Show its work on screen instead of plain text replies
  • Build new screens on demand as the task changes
  • Run as a full application with a real interface rather than plain chat

From the project's README

As published by branderux/branderux-mcp in README.md.

BranderUX builds agentic applications, in minutes: describe a business and a real agent builds its full application, published as a website and an MCP app, with every screen generated live, per customer, per question. This server is how any MCP client (Claude, ChatGPT, Cursor, VS Code) builds and controls those applications.

This is the official BranderUX MCP server. It gives an AI agent real control over BranderUX projects, brand, custom elements, screens, API keys, plus the verified reference docs it needs to integrate the SDK correctly.

Connect: https://mcp.branderux.com/mcp · Docs: https://branderux.com/mcp

claude mcp add --transport http branderux https://mcp.branderux.com/mcp

No API keys: the first tool call opens your browser for a one-click BranderUX sign-in (OAuth 2.1 + PKCE, scoped and revocable). Access is currently limited to beta accounts, everyone else lands on the waiting list, and you'll get an email the moment your access opens. While you wait: try a live BranderUX-built app at nova.branderux.app.

Tools

Knowledge (no scopes needed, signing in is still required to reach the server): get_started · read_doc · search_docs · get_integration_snippet

Projects (projects:*): whoami · list_projects · get_project · create_project · update_brand_settings · update_project_settings · delete_project

Screens (projects:write): list_screens · get_screen · put_screen · delete_screen, reads fetch the project aggregate; writes are atomic per-screen (row-locked server merge: parallel saves of different screens are safe).

Custom elements (elements:*): list_elements · get_element · list_element_versions · create_element · publish_element_version · preview_element · delete_element, your agent writes the TSX; the server pre-flight validates it (compile + sandbox import allowlist + export contract) before publishing. In clients that support MCP Apps, create_element, publish_element_version and preview_element render the element LIVE in the panel, demo props applied, clicks showing the exact query they would send.

API keys (keys:manage): create_api_key · list_api_keys · set_key_origins · revoke_api_key

Hosted agent: upsert_agent_config · get_agent_config, give the project its own agent: persona, policies (language and clock, login, access, handoff, write consent), answer quality and budgets.

Business data: define_entity · list_entities · seed_records · update_record · list_entity_records, managed records or live store/API feeds; every entity becomes a query tool for the agent (add-only writes by default).

Connectors: set_connector_credential · probe_api, vaulted credentials and a probe so tools are wired against the real API shape.

Skills: upsert_skill · list_skills · delete_skill, SKILL.md behavior packs that ride every conversation.

Home screen: set_home_screen, a designed first paint with live data bindings, zero model cost per visit.

Publish: publish_site · get_site, one call and the full application is live: a website for people, an MCP app for AI agents.

Playground (no project needed): generate_screen, renders a real branded, interactive screen in the panel with demo data, powered by the same published @brander/mcp-tools package customers install. Ask for a storefront, analytics or order-flow screen to see actual BranderUX output before building anything.

Every destructive tool requires an explicit confirm: true.

Local development

npm install
BRANDER_API_BASE=http://localhost:8080/api/v1 npm run dev   # http://localhost:3010/mcp
EnvDefaultPurpose
BRANDER_API_BASEhttp://localhost:8080/api/v1BranderUX API base
MCP_RESOURCE_URLhttp://localhost:3010Public URL of this server (OAuth resource id)
OAUTH_ISSUER_URL= BRANDER_API_BASEAuthorization server issuer

The server is stateless: one MCP server instance per request, bound to the caller's bearer. Deploy target is Vercel (api/mcp.ts + api/oauth-protected-resource.ts).

License

MIT

Signals

Last commit
Sep 2026
Advanced
Delivery
mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
com-branderux-mcp
Source
github.com/branderux/branderux-mcp
Hosted endpoint
https://mcp.branderux.com/mcp