Thursday, Nov 20, 2025
shippedBlog post and notebook on AI-powered database queries
Anurag Verma merged two substantial educational pieces to database_mcp_ai and cleaned up entry points in a Reddit app project.
Verma added a comprehensive blog post covering AI-powered database queries with LangChain and the Model Context Protocol [1]. The post includes system architecture diagrams, sequence flows showing query execution, an explanation of the ReAct pattern, step-by-step implementation guidance, real-world examples, and a troubleshooting section. Alongside it, he merged a detailed Jupyter notebook on function calling and structured output using OpenRouter's free models [3], with examples ranging from a basic calculator to realistic API integrations and multi-tool orchestration patterns. Both were merged to database_mcp_ai [2] [4]. In redit-wrapped, Verma refactored the build configuration by updating entry points in devvit.json and vite.config.ts, then removed obsolete HTML files for splash and game screens [5].
Sources
- Add comprehensive blog post: AI-powered database queries with LangCha… · anurag629/database_mcp_ai
- Merge pull request #2 from anurag629/claude/mcp-openrouter-research-01WNgFTuGRXJBfEsExUqbg6S · anurag629/database_mcp_ai
- Add comprehensive Jupyter notebook: Function calling and structured o… · anurag629/database_mcp_ai
- Merge pull request #3 from anurag629/claude/mcp-openrouter-research-01WNgFTuGRXJBfEsExUqbg6S · anurag629/database_mcp_ai
- refactor: Update entry points in devvit.json and vite.config.ts; remove obsolete HTML files for splash and game · anurag629/redit-wrapped