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.
Run a real estate agency’s lead follow-up from Telegram
An open-source n8n copilot reads lead emails, assigns them to agents round-robin, drafts replies and sends nothing until the agent taps Send in Telegram.
- Difficulty
- AdvancedOur rating
- Time to build
- Not reportedOur estimate
- Monthly cost
- Not reported
- Revenue
- Not reportedWe only show revenue the source states
- Engagement
- 2 Reddit pointsfetched Oct 15, 2026
What they did
It watches Gmail, extracts and validates leads with OpenAI plus rules, dedupes, stores them in Supabase, assigns agents, and nudges about unanswered leads at 30 minutes, 2 hours and 24 hours. Agents manage leads in natural language on Telegram.
How it went
MIT-licensed with workflows, schema and setup guide.
Worth knowing
The human Send step keeps the AI from emailing clients on its own.
Builder recipe
Our own starting point, written from the source. Adapt it to your setup.
Stack
- n8n
- OpenAI API
- Supabase
- Telegram bot
- Gmail
Steps
- Connect listings, calendar and messaging.
- Let the agent handle routine questions and scheduling.
- Keep a human on negotiations and compliance.
- Log every interaction.
Starter prompt
Is this email a real estate lead? If yes return JSON {type: sale|rental, intent: viewing|requirements|general, name, phone, property_ref}.Tags
Read the original
- Reddit: www.reddit.com/r/VibeCodeDevs/comments/1wa7y5y/opensource_ai ↗ (opens in new tab) Sep 7, 2026 · 2 points (fetched 2026-10-15)
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