Collabnix AI Weekly - Edition 2
Your weekly digest of Cloud-Native AI and Model Context Protocol innovations.

Stay ahead with curated insights on Docker, Kubernetes, IoT, and emerging AI technologies delivered straight to your inbox
Have MCP news to share? Tag us on social media or submit via our Slack community channels!
🎯 This Week's Spotlight
Neo4j MCP Servers Supercharge Graph-Powered AI
The Docker MCP Toolkit catalog has expanded with powerful Neo4j MCP servers, bringing graph database capabilities directly to your AI workflows:
🔹 Neo4j Cloud Aura API - Manage Neo4j Aura database instances through the Neo4j Aura API with 12 tools (899 downloads, 2⭐)
🔹 Neo4j Cypher - Interact with Neo4j using Cypher graph queries with 3 tools (1.8K downloads, 1⭐)
🔹 Neo4j Memory - Provide persistent memory capabilities through Neo4j graph database integration with 10 tools (1.5K downloads, 6⭐)
These servers enable natural language querying of graph databases, persistent memory storage, and complex relationship modelling - perfect for knowledge graphs, recommendation systems, and context-aware AI applications.

📦 Featured Release
🌟 Google Open Sources Gemini CLI - The Free AI Agent Revolution
Google dropped a bombshell on June 25, 2025, with the launch of Gemini CLI - a completely free, open-source AI agent that brings the full power of Gemini 2.5 Pro directly into your terminal.
29.7K GitHub stars in just 20 hours is massive 🔥
Key Highlights:
- Open Source: Available under Apache 2.0 license on GitHub
- Generous Free Tier: 60 model requests/minute, 1,000 requests/day
- Massive Context: 1 million token context window
- MCP Integration: Built-in support for Model Context Protocol servers
- Multimodal Capabilities: Generate content with Imagen, Veo, and Lyria
- Universal Access: Just login with a personal Google account
What makes it special:
- Query and edit large codebases beyond Gemini's 1M token window
- Generate new apps from PDFs or sketches using multimodal capabilities
- Automate operational tasks like pull requests and complex rebases
- Connect to external databases and enterprise systems via MCP
This directly competes with OpenAI's Codex CLI and Anthropic's Claude Code, but with unprecedented free access for individual developers.
Learn more about Gemini Code Assist
🐳 Latest AI Blogs
- Docker Desktop: The Infrastructure Foundation for Agentic AI
- How to Set Up Docker MCP Toolkit with Claude Desktop!
- Visual Studio Code Developers: How Docker MCP Toolkit Unlocks GitHub Copilot's Full Potential
- Building Complete AI Automation Workflows: n8n + Docker Model Runner + MCP Toolkit
New MCP Publications This Week
🔬 Academic Research:
- Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions - Comprehensive security analysis and future directions
- A Survey of the Model Context Protocol (MCP) - Standardizing context to enhance LLMs
🛠️ Technical Deep Dives:
- A Complete Guide to the Model Context Protocol (MCP) in 2025 - Keywords AI's comprehensive overview
- What is Model Context Protocol (MCP) in 2025 - F22 Labs' implementation guide
- Model Context Protocol (MCP) an overview - Phil Schmid's technical breakdown
🏢 Enterprise Focus:
- Securing the Model Context Protocol on Windows 11 - Microsoft's security-first approach
- The Complete MCP Experience in VS Code - Full specification support including authorization
📊 Industry Analysis:
- Best Model Context Protocol (MCP) Servers in 2025 - Pomerium's curated list of top GitHub MCP servers
🎥 Videos & Talks
📺 Gemini CLI Demos:
- Google's Official Gemini CLI Introduction - Feature walkthrough and capabilities
- Terminal-native AI development workflows
- Multi-modal content generation demonstrations
🎬 MCP Deep Dives:
- VS Code MCP integration tutorials
- Enterprise MCP security best practices
- Neo4j + MCP graph-powered AI workflows
🛠️ Featured Repositories
🌟 This Week's Standouts:
- google-gemini/gemini-cli - Official open-source Gemini CLI
- neo4j-contrib/mcp-neo4j - Official Neo4j MCP integration
- ezedinff/neo4j-mcp - Cursor-specific Neo4j MCP server
🔗 MCP Ecosystem:
- MCP Server Finder - The ultimate MCP server directory
- PulseMCP - MCP server marketplace
- UBOS MCP Catalog - Cloud-native MCP solutions
🙋 Q&A Highlights
Q: How does Gemini CLI compare to other AI coding tools?
A: Gemini CLI stands out with its completely free tier (60 requests/min, 1K/day), open-source nature (Apache 2.0), and native MCP support. Unlike OpenAI Codex or Claude Code which are paid services, Gemini CLI provides enterprise-grade capabilities at no cost for individual developers.
Q: What makes Neo4j MCP servers special for AI applications?
A: Neo4j MCP servers enable persistent memory through graph databases, allowing AI agents to maintain context across conversations and build complex relationship models. This is perfect for knowledge graphs, recommendation systems, and enterprise data that has complex interconnections.
Q: How secure is MCP for enterprise use?
A: MCP includes enterprise security features like OAuth 2.1 integration, granular access controls, and data segmentation. Microsoft and other vendors are implementing additional security layers including prompt isolation and runtime policy enforcement.
🌐 Upcoming Events
Cloud-Native AI and MCP Day: The Developer Experience Revolution
🗓️ Coming Soon - Transform Your Development Workflow with Context-Aware Infrastructure

For the first time in years, developers are saying work feels fun again. Join us for a groundbreaking event where Model Context Protocol (MCP) meets cloud-native infrastructure to revolutionize how we build, deploy, and manage applications.
📬 Newsletter Info
Collabnix AI Weekly is curated by the Collabnix AI Community, bringing you the latest developments in Model Context Protocol and AI agent technologies.
📧 Subscribe: https://www.linkedin.com/newsletters/collabnix-community-newsletter-7146711373689815040/
🐦 Follow: https://x.com/collabnix
💼 LinkedIn: https://www.linkedin.com/company/20456655
🌐 Website: https://collabnix.com
🔔 Coming Next Week
We'll be covering:
- Anthropic's Claude 4 MCP Integration - Deep dive into the latest capabilities
- Enterprise MCP Security Best Practices - Lessons from early adopters
- Building Multi-Modal AI Workflows - Combining Docker, MCP, and Gemini CLI
- Community Spotlight - Innovative MCP server implementations
- Docker + AI Updates - Latest Docker Desktop MCP Tools CLI features and Model Runner enhancements
Have MCP news to share? Tag us on social media or submit via our Slack community channels!
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