This topic covers enterprise-grade AI customer‑communication platforms — represented by vendors such as Solude and Nuklai and by conversational CX hubs — that integrate chat APIs and knowledge‑base connectors to deliver contextual, multi‑channel assistants. The provided tool descriptions show a practical implementation approach: Model Context Protocol (MCP) servers for Slack, Microsoft Teams, WhatsApp, Telegram, Google Workspace and Notion act as connectors that expose messaging, search and document context to AI models (for example, a Google Workspace MCP with multi‑user OAuth 2.1 and Claude integration). Relevance in late 2025: enterprises are consolidating conversational channels and internal knowledge stores to reduce response times, preserve context across channels, and meet security and compliance requirements. Key technical trends include standardized context-sharing (MCP), production‑ready OAuth flows for multi‑user environments, direct integrations with collaboration suites and media‑capable connectors (WhatsApp/Telegram via Telethon), and explicit support for document and search connectors (Notion, Drive, Docs). Practical implications: evaluate platforms on scope of chat API integrations (read/post messages, thread handling, media), robustness of knowledge‑base connectors (real‑time search, doc access, permissions), authentication and compliance (OAuth 2.1, enterprise SSO), and continuity features (context preservation, agent handoff). The result is a more consistent, auditable customer experience across channels while allowing enterprises to choose between turnkey CX hubs and modular connector stacks powered by MCP servers.