Author: Team CX

MCP (Model Context Protocol) servers enable natural language agents to interact directly with key infrastructure, automation, and monitoring tools.
This unlocks smarter workflows—where AI not only suggests… it acts.
💡 Here are some MCP servers you can already use today:
🔷 AWS MCP: control Amazon Web Services from an agent → https://github.com/awslabs/mcp
💬 Slack MCP: automate communication, channels, and messages → https://github.com/modelcontextprotocol/servers/tree/main/src/slack
☁️ Azure MCP: manage projects, repos, pipelines, and work items → https://github.com/Azure/azure-mcp
🐙 GitHub MCP: inspect and navigate code on GitHub → https://github.com/github/github-mcp-server
🦊 GitLab MCP: full integration with your GitLab projects → https://github.com/modelcontextprotocol/servers/tree/main/src/gitlab
🐳 Docker MCP: manage containers with natural language commands → https://github.com/docker/mcp-servers
📊 Grafana MCP: get visualizations, dashboards, and alerts → https://github.com/grafana/mcp-grafana
☸️ Kubernetes MCP: operate your cluster using natural language → https://github.com/Flux159/mcp-server-kubernetes

📌 Each of these servers enables tools like GitHub Copilot or custom agents to execute real tasks in your DevOps environment.
AI as a copilot? Yes.
AI as an assistant engineer executing real tasks? Also yes. And it’s already happening.

I invite you to discover MCP Alexandria 👉 https://mcpalexandria.com/en

There you’ll find the entire MCP ecosystem organized and standardized, aiming to connect developers with contextualized, reusable, and interoperable knowledge, in order to build a solid foundation for truly connected intelligence.

#DevOps #MCP #AI #Automation #IntelligentAgents #LLM #OpenSource #DevOpsTools

LangChain has unveiled its new open-source AI agent builder, a tool that allows developers to create, customize, and run intelligent agents directly in local environments—without relying on closed platforms or cloud services.

This YAML-based framework enables step-by-step agent design, integration with tools like browsers, APIs, or execution environments, and testing with real-world examples.

While accessible to AI practitioners, it requires advanced technical skills—from understanding LLMs to managing local setups and external tool connections.

This is a significant step toward building AI systems that are more transparent, auditable, and adaptable—especially valuable for teams seeking full control over their solutions.

#LangChain #OpenSource #AIagents #ArtificialIntelligence #MachineLearning #DevTools #LLM #TechNews #ResponsibleAI

https://www.thestack.technology/langchains-open-source-ai-agent-builder-is-accessible-but-advanced

MiMo 7B is Xiaomi’s newly launched language model, with 7 billion parameters, designed to directly compete with major players like ChatGPT, Gemini, and Claude. What stands out is its focus on logical and mathematical reasoning, where it has already outperformed larger models in key benchmarks.

📊 This model is not just an experiment. Xiaomi plans to integrate MiMo into its entire product ecosystem: smartphones, home devices, tablets, and even its new line of electric vehicles. The goal? To reduce its dependence on Google and create a fully self-reliant user experience powered by in-house technology.

🧠 Unlike other market players, Xiaomi has chosen the open-source route, making its model publicly available via platforms like Hugging Face and encouraging collaborative development. It has also developed optimized variants for specific tasks like text generation, automatic translation, and code generation.

🌐 This step marks a turning point in Xiaomi’s global strategy, aiming not just to be a hardware manufacturer, but a key player in the future of generative AI.

🔍 With MiMo, Xiaomi is not just following a tech trend—it’s redefining its business model and betting on open innovation and digital independence.

#Xiaomi #MiMo #ArtificialIntelligence #OpenSourceAI #TechNews #XiaomiMiMo #SmartTech

https://www.iproup.com/innovacion/55774-xiaomi-anuncio-el-lanzamiento-de-su-propia-inteligencia-artificial?utm_source=chatgpt.com

Amazon has officially introduced Nova Premier, the most powerful artificial intelligence model in its Nova family. Designed to tackle complex tasks, it stands out for its multimodal capability, allowing it to process text, images, and videos with deep and contextual understanding.

One of the most remarkable features of this model is its ability to handle up to one million tokens, enabling it to analyze long documents, extended sessions, or high-density data streams with precision and coherence.

In addition to being a high-performance model, it also acts as a teaching model, transferring knowledge to lighter versions in the same family —such as Nova Pro, Micro, and Lite— through distillation processes, thus optimizing its deployment in resource-constrained environments.

In internal tests, Nova Premier ranked first in 17 key benchmarks, outperforming previous models in both reasoning and content generation. All of this is supported by a strong focus on safety and responsible use, thanks to built-in safeguards that reduce risks in real-world applications.

The availability of Nova Premier via Amazon Bedrock, Amazon Web Services’ AI platform, strengthens the company’s commitment to democratizing access to advanced AI tools and directly competing with leaders such as OpenAI, Google, and Anthropic.

This launch marks a new milestone in the technological race to develop increasingly powerful, efficient, and secure models.

#AmazonAI #NovaPremier #AWS #ArtificialIntelligence #AdvancedAI #Innovation #FoundationModels #MultimodalTechnology #VideoProcessing #DeepLearning

https://www.eleconomista.es/tecnologia/noticias/13343383/05/25/amazon-presenta-su-nuevo-modelo-de-inteligencia-artificial-nova-premier-mas-capaz-a-la-hora-de-ejecutar-tareas-complejas-procesa-imagenes-y-videos.html

Meta has officially launched its artificial intelligence assistant, Meta AI, as a standalone application. This new app, powered by the Llama 4 language model, offers a more personalized and conversational experience, standing out for its advanced voice interaction and innovative social features.

Key features include:

🗣️ Real-time voice interaction : Thanks to duplex voice technology, users can hold more natural and fluid conversations with the AI.

🔍 Discover feed : A space where users can explore and share AI use cases, encouraging an active and collaborative community.

📊 User-data-based personalization : By linking Facebook and Instagram accounts, the app delivers more relevant and tailored responses.

🕶️ AR device compatibility : The app also integrates with Ray-Ban Meta smart glasses, replacing the former Meta View app, and enabling features like object recognition and real-time translation.

The app is currently available in the United States, Canada, Australia, and New Zealand, with plans to expand to other regions.

This launch positions Meta AI as a direct competitor to other AI assistants like ChatGPT and Gemini, offering a more immersive and user-centric experience.

#MetaAI #ArtificialIntelligence #Llama4 #VirtualAssistant #Technology #Innovation #AI #Meta #ChatGPT #Gemini #Apps #Voice #AugmentedReality

https://es.wired.com/articulos/meta-ai-aterriza-como-una-aplicacion-independiente-con-capacidades-avanzadas-de-voz

Alibaba has announced the release of Qwen 3, an ambitious and advanced family of AI models ranging from lightweight versions to a Mixture of Experts (MoE) model with 235 billion parameters. This development is available under an Apache 2.0 license, reinforcing the company’s commitment to open and collaborative innovation. 

Qwen 3 stands out for its hybrid reasoning approach , which allows it to alternate between deep thinking and rapid responses depending on the context and complexity of each task. Trained on 36 trillion tokens across 119 languages, the model demonstrates truly global linguistic and cultural coverage. 

📌 Key features:

🏆 Benchmark results that outperform leading models such as o3-mini and Gemini 2.5 Pro
🧮💻 Capable of handling complex tasks: advanced mathematics, coding, and prompts up to 128,000 tokens
🔄⚙️ Efficient architecture with lightweight models and dynamic reasoning

This release marks a turning point in AI development. Qwen 3 shows that open and accessible models can compete at the highest level with proprietary solutions, setting new standards in speed, reasoning, and scalability. 

#AI #Qwen3 #AlibabaAI #OpenSource #ArtificialIntelligence #MachineLearning #TechNews #OpenInnovation

https://www.bloomberglinea.com/negocios/alibaba-presenta-su-ultimo-modelo-insignia-de-ia-que-busca-rivalizar-con-deepseek

The Agent Development Kit is an open-source toolkit designed to simplify the creation of artificial intelligence agents. It also offers a catalog of ready-to-use agents on its cloud computing platform.

With this initiative, Google promises that developers will be able to build an AI agent in under 100 lines of code, orchestrate agent systems, and set custom safety boundaries for each one.

ADK is managed through Vertex AI Model Garden — which includes the Gemini models — but it’s also compatible with a broad ecosystem of models via LiteLLM. This allows developers to easily access models from Anthropic, Meta, Mistral AI, AI21 Labs, and others, without needing to modify their core logic.

The kit supports the use of pre-built tools, external libraries like LangChain or LlamaIndex, and even agents that act as tools within graph-based orchestration systems like LangGraph and CrewAI.

Now available at:

📚 Documentation: https://google.github.io/adk-docs/

👨‍💻 GitHub: https://github.com/google/adk-python

#ADK #GoogleAI #VertexAI #Gemini #AIDevelopment #IntelligentAgents #HedySoftware

https://www.infoq.com/news/2025/04/agent-development-kit