✓ Use it for content generation purposes
✓ Map-out Q&A pairs with your product, service or brand
✓ Research any topic and get Q&A pairs from that seed topic
✓ Differentiate your pages!
✓ Optimise code to increase speed ⚡
✓ Increase RAM capacity to mitigate bumps and allow for more content to be analysed
✓ Provide additional Q&A algorithms
Kudos to @huggingFaces and @Streamit DevOps for their support so far! 🙌
8/10
📂 About open-sourcing the code:
That code currently lies in a private repo. I should be able to make it public soon for you to re-use it in your own apps and creations!
Keep your eyes peeled! 🙌
9/10
WTFaq is still in beta, head-off to my Gitter page for bug reports, Qs or suggestions:
▶️ gitter.im/DataChaz/what-…
This app is free! You can buy me a ☕ to support my work if it's useful to you!
▶️ buymeacoffee.com/cwar05
Google's MCP Toolbox for Databases is now open source 🔥
A single backend for connections, security, and schema-aware SQL tools, built for AI agents.
Compatible with Python, JS, Go, LangChain, and more.
Repo in 🧵 ↓
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Features include:
→ Declarative tool definitions (<10 LOC)
→ Secure by default with integrated authentication
→ Auth, pooling & fast queries out of the box
→ Native observability (OpenTelemetry)
→ Postgres, MySQL, Cloud SQL & more supported
Build & manage data pipelines with AI, using plain language!
→ Ingests, transforms & validates data from Cloud Storage
→ Generates SQLx, enforces quality, and updates pipelines
→ Scales across use cases via CLI, UI, or API
Postman's AI Agent Builder lets you turn any API (from over 100,000!) into an MCP server in seconds, no code required 🤯
Your custom MCP server, ready to use in Cursor, Windsurf, Claude Desktop, Docker, plus a lot more! 🧵↓
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First, start here →
You’ve got literally 100,000+ APIs to check out.
1. mix and match any endpoints you want 2. download your custom zip file 3. that’s it! postman.com/explore/mcp-ge…
Mind = blown.
That zip file has EVERYTHING:
↳ a readme with setup instructions
↳ your selected endpoints
↳ all the files to run your MCP server locally, on Cursor, Windsurf… even Docker!
You also get an .env file with your prefilled variables → just add your API keys! 🔥
MIT and Oxford just released their $2,500 agentic AI curriculum on GitHub at no cost.
15,000 people already paid for it.
Now it's on GitHub!
It covers patterns, orchestration, memory, coordination, and deployment.
A strong roadmap to production ready systems.
Repo in 🧵 ↓
10 chapters:
Part 1. What agents are and how they differ from plain generative AI.
Part 2. The four agent types and when to use each.
Part 3. How tools work and how to build them.
Part 4. RAG vs agentic RAG and key patterns.
Part 5. What MCP is and why it matters.
Part 6. How agents plan with reasoning models.
Part 7. Memory systems and architecture choices.
Part 8. Multi agent coordination and scaling.
Part 9. Real world production case studies.
Part 10. Industry trends and what is coming next.