Let agents find US doctors with checkable evidence over MCP
A developer built a remote MCP server with 1.2M US physicians, Medicare procedure volumes and facts from hospital sites.
A San Francisco renter used ChatGPT and Gemini to research tenant law and write a demand letter; the landlord returned $4,200 of a $5,000 deposit.
The models helped identify violations of California tenant law and draft the letter.
The renter got $4,200 back, about 1-2 hours of work.
This is not legal advice; check the statutes cited.
Our own starting point, written from the source. Adapt it to your setup.
My landlord kept $X of my deposit in [city/state]. Explain the deposit rules with citations, list what they did wrong, and draft a firm demand letter.A developer built a remote MCP server with 1.2M US physicians, Medicare procedure volumes and facts from hospital sites.
A developer open-sourced Lampo, which renders video from agent-written JSON without a browser, about 4x faster than headless Chrome.
A developer built an SEO system with 85 skills and 29 agents that runs in Claude Code, Gemini CLI and Antigravity.
A hobbyist spent months getting ChatGPT and Claude to write LDraw, the instruction language for LEGO CAD models, and open-sourced the tooling.
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