Cracking Shells

Cracking Shells

@crackingshells.bsky.social

We build open-source infrastructure to package, share, and deploy #MCP servers for scientific applications. 🔗 GitHub: github.com/CrackingShells 🐣 Early-stage, hackathon-driven, and growing.

11 followers4 following27 posts

It came out prettier than I thought! 😊 Just released Hatch v0.8.0. This update is all about UX: clean tables, helpful colors, outputs that actually make sense. 🐣 `pip install hatch-xclam` #MCP #AIForScience

Solid #MCP design patterns in @anthropic.com ’s latest: "Code execution with MCP: Building more efficient agents" 🔗 www.anthropic.com/engineering/... Exactly the kind of resource to share with your coding agent before tackling a server. I appreciate the didactic effort. 🐣 #AIForScience

anthropic.comCode execution with MCP: building more efficient AI agentsLearn how code execution with the Model Context Protocol enables agents to handle more tools while using fewer tokens, reducing context overhead by up to 98.7%.

Last week at #ICSB2025, we shared how #MCP can make LLM-based agents reliable for #SystemsBiology. MCP was barely known there. All the more reason for Cracking Shells to exist: simplifying onboarding for researchers. #AIForScience

Really excited to see what the async boost is about! 🐥 #MCP #AIForScience

Model Context Protocol (MCP)@mcp-community.bsky.social

Big news for the agentic web: The next Model Context Protocol (MCP) Release Candidate drops on November 11, 2025. Expect major upgrades in asynchronous operations, scalability, and SDK standardization. Credit to: chip.gpt (tiktok) #MCP #AI #DevTools #Tech

Last week's #DevLog Hatch! 0.7.0 now lets you add MCP packages with one command—It's multi-dependencies and multi-host. Finally some versatility for #MCP setup 🐣 Still a pre-release, bug fixes & docs in progress! #AIForScience

For #AIForScience stack, #MCP servers for databases are crucial. A couple more of well-documented ones to explore: 🔗 Graph-based (for knowledge graphs): ArangoDB github.com/PCfVW/mcp-ar... 🔗 Document-based (for descriptive data): MongoDB github.com/mcp/mongodb-...

Model Context Protocol (MCP)@mcp-community.bsky.social

Planning your 2025 tech stack? Here are 12 MCP Servers to try. These tools connect LLMs to essential services like GitHub, Slack, Google Drive, PostgreSQL, and more, unlocking powerful new workflow automations. The future of AI is connected. #MCP #AI #Dev #TechStack

Great to see the MCP tool scalability problem getting attention! As the article notes, it’s a critical bottleneck, but solutions are coming. We’re tackling this too at Cracking Shells (ETA: December). The more minds on it, the faster we’ll crack it. 🐣 #MCP #AIForScience

Model Context Protocol (MCP)@mcp-community.bsky.social

A new article tackles the MCP tool scalability/overload problem. Surprised by the lack of content on this, the author wrote an overview to explain the tooling bottleneck. An important read for the AI community. t.co/imtblSlxE5 #AI #MCP #Tech #AITools

Using the server itself as a layer helping to manage the tools is indeed within the benefit of #MCP we'd cite. But the top one for us remains the encapsulation and being able to (almost) drop it anywhere. This is so convenient to decouple dev work from actual agent systems, particularly in #science

Model Context Protocol (MCP)@mcp-community.bsky.social

A great explanation for AI builders. This video answers: "What's the benefit of using MCP instead of just attaching tools directly to the agent?" Essential knowledge for anyone working with AI agents and building for the future. #AIAgents #MCP #AITools #Developer

After reading the MCP Registry docs, a few thoughts: 1. Not a perfect fit for #MCP for #science (yet), but that’s okay because 👇 2. Recommend filtering of existing registries AND 3. Support for custom package registries: the whole point of Cracking Shells 🤩—MCP servers for scientific applications

github.comregistry/docs at main · modelcontextprotocol/registryA community driven registry service for Model Context Protocol (MCP) servers. - modelcontextprotocol/registry
Cracking Shells@crackingshells.bsky.social

The MCP Registry is live! 🎉 Huge for tool discovery—especially if it works well for #MCP in #science. At Cracking Shells, we’ve built our own solutions, but we’re all for interoperability. Excited to test, compare, and adapt to what serves the community best. #AIForScience

The MCP Registry is live! 🎉 Huge for tool discovery—especially if it works well for #MCP in #science. At Cracking Shells, we’ve built our own solutions, but we’re all for interoperability. Excited to test, compare, and adapt to what serves the community best. #AIForScience

Model Context Protocol (MCP)@mcp-community.bsky.social

Introducing the MCP Registry: a central, open-source hub for discovering and sharing MCP servers. It's like an app store for the agentic ecosystem, making it easier for developers to find and use tools. Explore the repo: github.com/modelcontext... #MCP #AI #OpenSource #Developer

Here is nome inspiration from real-world MCP workflows (Slack → Notion/HubSpot). That could transfer to #LabAutomation e.g., routing logs from robotic systems or equipment notifications to research trackers. That could work today with systems we already have. #MCP #AIForScience

Model Context Protocol (MCP)@mcp-community.bsky.social

A must-watch replay from the MCP Dev Summit. See how Hakki Kirmizi & Jonah Perry (Gentoro) turned a noisy Slack channel into structured tickets in Notion/HubSpot using MCP orchestration. A perfect real-world example of agentic workflows. Watch Now: buff.ly/nyzYVt7 #MCP #AgentWorkflows #Automation

Cracking Shells reposted

For the tech and AI folks on Bluesky: Check out this talk from Andrew Culberson at the MCP Dev Summit. He's covering how MCP is the backbone for multi-agent, multi-user workspaces. A key topic for anyone building collaborative tools. See you in London on Oct 2. #TechTalks #AIagents #LondonTech #MCP

Last week, we hosted our first #MCP hackathon for science with 22 #researchers (computational physics, chemistry, biology). None had used MCP or LLMs APIs before. By the end, they’d created their own MCP servers. This was invite-only, but more events are coming! 🐣 #AIForScience

#MCP isn’t the only way to connect LLMs to tools, but it won us over for #research: Small: the decorator pattern of the Python SDK is a killer to wrap existing API Decoupled: Devs build tools; users install them like packages (almost). Fits the ‘publish once, use anywhere’ model scientists like.

You are up to date.