The #Jupyter Notebooks MCP Server by @datalayer.ai is a MCP server implementation designed to act as a bridge between Large Language Models, AI assistants and a user's live Jupyter environment.What does it enable? On IProgrammer: dub.sh/mNFIOeI

☁️ Clouder is now open source! Create, manage & share Kubernetes clusters across clouds with a simple CLI & Python package. Includes Helm, autoscaling, backups, and even alpha features like container checkpoint (CRIU). Supports AWS, Azure & OVHcloud. 👉 clouder.sh

This example highlights the power of Agent Runtimes: a single agent can support multiple output formats seamlessly. From plain text and Markdown to structured JSON and UI-ready payloads, responses can adapt dynamically. ➡️ Build once, deploy everywhere. #AI #Agents #DeveloperTools

Advancing the integration of Datalayer AI Agents into VS Code

🛡️ AgentToolApprovalsExample: human-in-the-loop, in 4 lines. id: demo-tool-approvals tools: - runtime-echo:0.0.1 # auto - runtime-sensitive-echo:0.0.1 # manual approval One agentspec, two tools — runtime-echo ships, runtime-sensitive-echo waits for your 👍. #AIAgents #Datalayer

Should your AI agent need approval before running a skill—even for something as simple as telling a joke? What do you think? Personally, I believe it should be configurable 🙂

Jupyter MCP Server 1.0.2 is out! 🎉 Now supports the default Jupyter stack—no more pinning older collaboration versions. Use the version you want. 👉 github.com/datalayer/ju...

Practical Power: Reproducibility, Automation, and Layering with Conda Part 3 of the 3-part series is live! 🚀 Beyond theory into engineering practice: provenance, lockfiles, rolling distribution, and real-world workflows. #conda #packaging #python #reproducibility conda.org/blog/conda-p...

Let's connect on the GitHub if you are a AI engineer or developer, or on datalayer.ai if you are a user looking for managed #AIAgents ready to be used.

Thank you to all the amazing contributors and users for making this opensource project a success 🙏

Jupyter MCP Server 1.0.0 Reaches 1,000 GitHub ⭐ Right after the official 1.0.0 release, the Jupyter MCP Server repository crossed the 1K stars milestone. A huge thank you to the community building the future of notebook-native AI workflows. github.com/datalayer/ju...

LLM apps in prod need more than accuracy—they need cost visibility. Tokens drive spend, but most systems lack insight. Datalayer’s open-source agent-runtimes adds runtime-level tracking, OTEL pluggability & React charts—works with any LLM. PR: github.com/datalayer/ag...

📄🌍 Published in #IEEE GRS Magazine (2026): “Artificial Intelligence for Earthquake Response.” Datalayer ranked 2nd overall 🥈 in ESA + International Charter challenge. Paper: ieeexplore.ieee.org/document/113... DOI: doi.org/10.1109/MGRS...

We just opened a Discord for builders working with Datalayer AI Agents 🧠⚡ No marketing fluff—just real workflows, early features, and direct access to our team. If you’re building or exploring, come join us 👇 discord.gg/YQFwvmSSuR

🚀 Jupyter MCP Server v0.23.0 is out! Better notebook interactions, improved tool consistency, and more reliable execution ⚡ Thanks to all contributors 🙌 🔗 github.com/datalayer/ju... #Jupyter #AI #MCP

50 Years of Thinking Different www.apple.com/50-years-of-... #apple

Datalayer is writing a paper on cost-effective LLM agents (70–92% token reduction via codemode). Seeking co-authors with real-world agent data.Read & apply → datalayer.ai/research/con... #LLMAgents #AIEngineering #OpenScience

Going live in 30 minutes! 🚀 Join my online talk on Reducing LLM Costs Through Programmatic Tooling. Save your spot: openteams.com/event/reduci...

🚀 Cut your LLM costs by up to 90%! Join me tomorrow for a practical deep dive on programmatic tools that make AI faster, smarter, and cheaper. Hosted by OpenTeams. Don’t miss out! 🔗 Register here openteams.com/event/reduci...

#AgentBeats Phase 1 (Green Agents) judging is almost done. A competition focused on standardized, reproducible AI agent evaluation. Winners announced early next week — hoping to make the run into Phase 2 🤞 Organized by @BerkeleyRDI rdi.berkeley.edu/agentx-agent...

Our new Datalayer variant is built for AI Agent workloads—cutting data costs by up to 90% without sacrificing performance. Scale smarter, faster, and cheaper! 💡 🔗 datalayer.ai #AI #DataInnovation #AIAgents #CostEfficiency

⚙️ Run Python notebooks instantly in VS Code with the Datalayer Pyodide kernel — no Python install, no Conda, no setup. Open a notebook and start experimenting ✨ 🎓 Beginners | ⚡ Quick tests | 🔒 Sandbox-safe Read more 👉 medium.com/datalayer/st... #VSCode #Python #Jupyter #Pyodide

🧵 1/6 What if your AI agent could actually DO things? Not just chat. Actually search the web, access databases, read LinkedIn profiles, execute code. That's what we built. Here's what you can do with Agent Runtimes 👇

We’ve enhanced agent runtimes with a built-in model selector, making it easier than ever to choose the right model for each use case. #AI #LLM

#Agent details now available - we will show the LLM context usage

Inline chat toolbar implemented in the Agent Runtimes repository (github.com/datalayer/ag... ). It provides an easy way to work with your text content.

1/ Jupyter UI documentation got a refresher If this makes sense to you, you’re the target audience 👇 <JupyterReactTheme> <Notebook path="analysis.ipynb" /> </JupyterReactTheme> jupyter-ui.datalayer.tech

1/ 🪐 🌐 Just shipped: Jupyter Embed! What if adding a live Python cell to your docs was as easy as adding an image? Now it is. 🧵

🚀 Jupyter MCP Server docs just got a refresh! Flattened TOC, new Reference & Providers sections, added JupyterHub + Google Colab providers (WIP), and more on security & multi-user use cases. Docs: jupyter-mcp.datalayer.tech Feedback welcome! 💬

🪐 Jupyter Embed is here! Add interactive Python cells, notebooks & terminals to ANY website with a simple script tag. 🎯 Live demo: jupyter-embed.datalayer.tech Built with ❤️ for educators, developers & data scientists. #Jupyter #Python #OpenSource

The Jupyter UI docs just got a fresh revamp ✨ Now with embedded Storybook—take a look! 👉 jupyter-ui.datalayer.tech

this blog really nails a few things I’ve noticed about good architecture/coding practices for using agents, big recommend. bits.logic.inc/p/ai-is-forc...

Year-end confettis are here 🎊 Explore them in the Jupyter UI Storybook 👉 jupyter-ui-storybook.datalayer.tech?path=/story/...

Jupyter React 2.0 is live! 🎉 Breaking changes: Notebook2 is now default, kernel setup moves to useJupyter(). See migration examples github.com/datalayer/ju...

I've added a tree view to pick files in Toad. 🐸 Fuzzy searching is great when you know what you're looking for. But a tree view is more natural when you want to look through your files. Toad is a unified interface for agentic coding, and all things AI, in your terminal. github.com/batrachianai...

1.5 days with #AI instead of maybe 1.5 weeks: Vite.js support and a revamped Jupyter React examples. AI is redefining software development timelines.

Devil’s in the details. This is why you’ll see a spinner in the VS Code runtime launcher while the remote runtime spins up.

Vercel AI SDK 6 is official released. The details are on vercel.com/blog/ai-sdk-6 The feature I prefer is the Tool Improvements and the needsApproval option that allows to force user approval on the first tool usage. OAuth for MCP is also awesome feature.

The question you never asked yourself - sculptures that write sentences, by Fred Eerdekens. www.fred-eerdekens.be/work/detail/...

Datalayer is joining the AgentX AgentBeats challenge! 🥊 To benchmark our data agent, we "agentified" DABench using the A2A protocol. The setup uses Pydantic AI and our Jupyter MCP Server. We think A2A + MCP is the future of agent interoperability. 🤝 github.com/datalayer-ch... #AgenticAI #MCP

The Datalayer VS Code extension is here. It brings a Notion-style editor (built on Lexical) right into your Jupyter environment. Just code, write, and explain in one place. It's open source 👐 and integrated with Copilot 🤖. medium.com/datalayer/no... #VSCode #Jupyter #DataScience #OpenSource

Just tried Toad, the new #ACP terminal client for #AIAgents by @willmcgugan.bsky.social (creator of Rich/Textual) — super promising approach to connecting local & remote agents. A few UX bumps (SPACE to start chat not obvious, needed restarts), but overall excited.

A new UI style more like Notion/Google Docs for Data Analysis, with AI Agent

🚀 Datalayer Notebooks ❤️ #Copilotkit Copilotkit now plugs into React-based Jupyter Notebooks — an LLM that can read, edit & run code. Open protocols = open data ecosystems. 👉 github.com/datalayer/core

My JupyterCon talk on standardizing AI agent access to Jupyter notebooks - thanks to MCP - is now live! 🚀 🎥 Video: www.youtube.com/watch?v=lO2p... 📖 Blog post: datalayer.blog/2025/11/27/j... #JupyterCon #AI #MCP

🚀 #Jupyter #MCP Server 0.21.0 is out! A single-PR release that speeds up tool discovery by adding caching — super handy for agents that love to use (or abuse) the get_tools API 😄 🔗 github.com/datalayer/ju...

@burkeholland.bsky.social Just looked at www.youtube.com/watch?v=IdPt... where you mention you trust more GPT-5 LLM for code. Curious to learn more. Here I tried it a bit, and sticked to Claude Sonnet, and now Opus 4.5

Announcing Datalayer on VS Code 🎉 Add seamless #GPU runtimes to the native VS Code Notebook, plus Datalayer Notebook & Rich Editor — all via Jupyter’s open protocol. 👉 marketplace.visualstudio.com/items?itemNa...