BackEngine MCP

Launching today 今日发布

Make private company knowledge usable for AI 让企业私有知识可供人工智能使用

Most companies wire Claude or ChatGPT into Slack, email, calls, tickets, and their CRM over one singular MCP. That’s raw pipes into scattered systems. The model reads a slice and guesses at the rest. 大多数公司通过单一的 MCP 将 Claude 或 ChatGPT 连接到 Slack、电子邮件、通话、工单和 CRM 系统中。这相当于在分散的系统之间建立了原始的数据管道。模型只能读取其中的一部分，其余部分则全靠猜测。

BackEngine MCP connects to the same tools, but reads everything first, joins all of it into one permissioned record per account, kept current, so Claude and ChatGPT always work from the whole picture. BackEngine MCP 连接到相同的工具，但它会先读取所有数据，将它们整合为每个账户下具备权限控制的统一记录，并保持实时更新，从而确保 Claude 和 ChatGPT 始终能够基于全局信息进行工作。

Head-to-head: 67% fewer errors, 2.4x more key facts, 65% fewer tokens vs. direct connectors. 对比测试结果显示：与直接连接器相比，错误率降低了 67%，关键事实获取量提升了 2.4 倍，Token 消耗减少了 65%。