Updates, tutorials, architecture deep dives, and lessons learned building AI agent tooling from a Raspberry Pi.
Why we built ClawTools, what problem it solves, and how it fits into the PicoClaw/OpenClaw ecosystem. The story of going from "I want a morning briefing on my Pi" to an open tool registry.
→Step-by-step: from a fresh Raspberry Pi to receiving a daily AI-generated briefing on Telegram every morning at 7am.
→A technical walkthrough of the Model Context Protocol, how tool call schemas are defined, and why ClawTools uses a dual MCP + HTTP interface.
→Everything we learned navigating Google's OAuth verification process and Microsoft's Partner Network requirements. The real checklist, real timelines, real costs.
→How ClawTools exposes the same tool definitions over both stdio MCP transport and HTTP REST with a single unified codebase in Go.
→More posts coming as we build. Follow the repo to stay updated.