Branderux MCP

BranderUX MCP

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). Anyone with a BranderUX account connects. See what it builds: nova.branderux.app and the five live examples on branderux.com.

Tools

Knowledge (no scopes needed, signing in is still required to reach the server): get_started · read_doc · search_docs · get_integration_snippet · list_templates · get_template. The widget snippet of get_integration_snippet is the one-line script tag for a plain website (Wix, WordPress, Shopify, static HTML), carrying data-preload="eager" and data-conversions="on" (new leads, bookings, orders and requests are reported to the tags already on the site). list_templates and get_template read the five reference builds as worked examples to adapt, never to copy.

Projects (projects:*), for the signed-in user (projects they own or manage): 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).

Owner data (projects:read to read, projects:write to change): query_records · aggregate_records · get_record · list_conversations · aggregate_conversations · get_conversation · list_visitors · get_stats · update_record_workflow · correct_record · add_record · record_opt_out · delete_record · reply_links · get_crm_status · send_record_to_crm, the owner's own AI reads the leads, bookings, orders and requests the hosted agent collects, with its conversations, signed-in visitors and numbers, and works them one record at a time: every change is logged on the record (a delete erases the record with its log), visitor text comes back marked as data, nothing is sent to a customer (reply_links prepares a draft the owner sends), and where customer data goes stays the owner's or a manager's choice in the app. The review-my-week prompt goes through the owner's week or month with these tools. The docs: read_doc owner-data.

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 and fixed screens: set_home_screen · set_fixed_screens · list_fixed_screens · verify_canned_screens, a designed first paint and designed answers to the business's recurring questions, each replayed with live data bindings at zero model cost per visit; verify_canned_screens runs every binding the way serving does, so a screen is proven to replay before publish_site.

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

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