Pancake 发布一个 MCP 服务器，让 Claude 或 Codex 等编码智能体直接执行 GTM 任务：跨 40+ 数据源搜索线索、做数据补全，并从用户自有账号发信，还基于你的网站构建 GTM brain。同一套智能体循环写完代码后，可用一次工具调用执行“找正在招聘市场负责人的已融资初创公司”并返回起草好的消息。此前需工程师手工接入五家厂商 API，现在这些连接都收在一个服务器后面。
Coding agents can now ship a product end to end, and then they hit a wall: nobody gave them tools for finding customers.
Pancake is that tool surface. One MCP server gives Claude or Codex lead search across 40+ data providers, enrichment, and sending from your own account, plus a GTM brain built from your website.
So the same agent loop that wrote the code can run “find funded startups hiring a marketing lead” as a tool call and come back with drafted messages.
GTM ("Go to Market") becomes a problem of data pipelines, context management and sending infrastructure, with the agent as the caller. Until now that meant an engineer wiring five vendor APIs into an agent by hand. Here the wiring sits behind one server.
Meet Pancake, the Vercel for GTM. Try it at http://pancake.ai Your agent ships your product. Now it ships your go-to-market. How? A GTM brain that knows your business, 50+ data providers to find the right customers and tools to reach them. Your next customers are one prompt away. (did I really have to jump off a plane to say that? questionable, but I survived and now you're reading my tweet)在 X 查看被引用的帖子
来源：Rohan Paul · x.com