Pancake：一个 MCP 服务器让 Claude 或 Codex 做 GTM
Coding agents can now ship a product end to end, and then they hit a wall: nobody gave them tools for finding customers.
Pancake 通过一个 MCP 服务器为 Claude 或 Codex 提供覆盖 40+ 数据提供商的线索搜索、信息补全和自有账号发送能力，并基于你的网站构建 GTM 大脑。同一个写代码的智能体循环可以执行“寻找正在招聘市场负责人的已融资初创公司”这类工具调用，并返回已起草的消息。GTM 由此变成数据管道、上下文管理和发送基础设施问题，此前需要工程师手工接入五家厂商 API，现在这些接线都藏在一个服务器后面。
查看原帖Meet Pancake, the Vercel for GTM. Try it at https://t.co/rNOxMpru82 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,…
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Meet Pancake, the Vercel for GTM. Try it at https://t.co/rNOxMpru82 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)
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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.