Scalekit AgentKit returns native LangChain StructuredTool objects. Enable LangSmith tracing and every tool call — Gmail fetches, Slack messages, GitHub searches — appears as a traced span automatically. This recipe walks through setup, a working agent, and verifying traces in the LangSmith dashboard.
Poll Gmail with AgentKit tools, send each new thread through a multi-stage LiteLLM pipeline with per-stage models, notify Slack, then approve filing a GitHub issue and sending a reply from a localhost dashboard.
Build a GitHub PR summarizer that ranks the most-discussed pull requests in a repository and writes plain-language summaries. The secure version of this recipe binds each GitHub connection to a server-side session and never accepts a user ID from the browser.
Switching to a browser to look up Scalekit docs breaks your coding flow. This cookbook shows you how to configure the ref.tools MCP server so your AI coding assistant can search Scalekit documentation inline — in Cursor, Claude Code, Windsurf, or any MCP-compatible client.
Building a scheduling agent means coordinating authentication to two separate tools — Google Calendar and Gmail — then chaining their outputs in one workflow. Without managed OAuth, each connector requires its own token lifecycle and error-handling logic. This recipe shows how Scalekit handles auth per connector so your agent can focus on finding a free slot, creating the event, and drafting the confirmation.
