Enables external AI agents to edit and manage a self-hosted website via a token-gated MCP server, including page content, data, media, and sandboxed functions with validation and rollback.
Enables AI agents to draft, review, preview, and publish content across multiple websites through typed MCP tools. Ensures safe, policy-gated, and auditable publication without requiring a conventional CMS admin interface.
Enables AI agents to access internal systems without public APIs as typed, governed MCP tools, with human-approved writes and fail-closed contract updates.
Enables MCP-compatible AI agents to execute typed live-app actions over WebSocket, allowing agents to directly interact with real application state without browser automation or scraping.
Enables websites to expose a first-class interface for AI agents by providing read-only MCP tools like search_site and generating llms.txt discovery files.