Discover how intelligent automation and AI agents are transforming network operations with real-time decision-making and reduced downtime.| Selector
Allowing an LLM to formulate calls to external systems| martinfowler.com
Get started with AWS MCP Servers and learn core features.| awslabs.github.io
How to build a CLI coding agent| martinfowler.com
Again, most of my spare time was dedicated to AI learning and experimenting:| dx13.co.uk
Your AI writes code. Now what? If you’re building AI agents in 2025, you probably wondered that as well. Your LLM generates some Python code that analyzes data, manipulates files, or calls APIs. But where does it run? Most people either pay for managed execution services where they don’t control the data flow, or just YOLO it and run everything locally. Neither option scales, and both come with problems you probably haven’t thought about yet.| SkyPilot Blog
Model Context Protocol (MCP) isn't just a tool registry—it's a paradigm shift that turns AI assistants into true development partners.| Seuros Blog
Discover the new HubSpot MCP server in public beta, enabling AI clients to interact with HubSpot data for seamless integration and enhanced CRM workflows.| developers.hubspot.com
Discover how MCP servers enhance SASE deployments in real-world scenarios—boosting automation, control, and network performance.| The Versa Networks Blog - The Versa Networks Blog
The Model Context Protocol (MCP) is an open standard that provides a universal way to connect AI models and agentic applications to various data sources and tools. It's how AI applications and applications can supply context (documents, database records, API data, web search results, etc.) to AI app...| community.cisco.com
The new Firebase Studio is a cloud-based, agentic development environment with everything developers need to create production-quality, AI-powered apps.| Google Cloud Blog
Just a fun weekend experiment on model-context protocol (MCP): I asked several tool-calling LLMs to draw a 4-frame spritesheet of a swordsman performing a sl...| Lj Miranda
The path to Tidewave: a collection of tools that speed up development with AI agents by understanding your web application, how it runs, and what it delivers| dashbit.co
Get started started using Function Calling with the Gemini API| Google AI for Developers
In Part 1 of our blog series on Open Protocols for Agent Interoperability we covered how the Model Context Protocol (MCP) can be used to facilitate inter-agent communication and the MCP specification enhancements AWS is working on to enable that. In Part 2 of this blog series we dive deep into authentication in the latest […]| Amazon Web Services
Authorization in LLM Applications| www.osohq.com
Connect your AI tools to Supabase using MCP| supabase.com
Learn about the Terraform model context protocol (MCP) server and how it can help you write Terraform configuration using AI.| Terraform MCP server overview | Terraform | HashiCorp Developer
The Model Context Protocol (MCP) is gaining significant traction in AI. This protocol, supported by most large language model (LLM) providers, enhances an LLM’s capabilities, allowing it to m…| blog.podman.io
On the the engineering challenges and lessons learned from building Claude's Research system| www.anthropic.com
AI content creation through perspective enrichment using tools for idea capture, visual expression, and multi-angle analysis.| blockbuster.thoughtleader.school
Issue 250: AI is breaking the way we build (and it's a good thing)| www.proofofconcept.pub
The Model Context Protocol (MCP) is an open standard that enables large language models to interact with external tools and data sources. Unlike traditional API integrations, MCP provides a standardized interface for AI models to access specialized functionality without requiring custom implementations for each use case. MCP addresses the problem| Security, Privacy & Tech Inquiries
The Heroku Remote MCP Server is a [Model Context Protocol](https://modelcontextprotocol.io/introduction) (MCP) implementation that enables you to connect AI agents to the Heroku platform.| devcenter.heroku.com
By Frank Brockners What Cloud-Native Really Means for Operators and Why the Internet of Agents Can Propel Progress As a board member of the Linux Foundation Networking (LFN), I was...| LF Networking
Who will take over for us if we don't train the next generation to replace us? A critique of craft, AI, and the legacy of human expertise.| xeiaso.net
AI Agents have improved in leaps and bounds in recent times, moving beyond simple chatbots to sophisticated, autonomous systems. This post explores a novel approach to building agentic systems: using the power of streaming SQL queries. Discover how platforms like Apache Flink can transform the development of AI Agents, offering benefits in consistency, scalability, and developer experience.| www.morling.dev
AI agents aren't replacing developers - they're amplifying what skilled engineers can accomplish. The job replacement panic might just be the wrong place to channel our energy into.| den.dev
The evolving landscape of AI features a growing interconnectivity between GenAI models and frontend tools. Companies are rapidly developing both open-source and proprietary models, challenging the …| Wrong Side of Memphis
Part I: Shipping Containers for Thought Every so often a simple idea rewires everything. The shipping container didn’t just optimise logistics; it flattened the globe, collapsed time zones, and rewrote the economics of trade. In its geometric austerity was a quiet revolution: standardisation. Similarly, HTML and HTTP didn’t invent information exchange — any more than […]| Towards Data Science
The Good, the Bad, and the Ugly of AI’s interface to the real world.| blog.stackaware.com
Learn how to deploy and register custom MCP servers on Heroku for automatic tool execution and model-assisted workflows.| devcenter.heroku.com
Postman is a collaboration platform for API development. Postman's features simplify each step of building an API and streamline collaboration so you can create better APIs—faster.| Postman Docs
Learn how AI tools use prompts and tools to enhance responses, making interactions smarter and more dynamic.| Ken Muse
At AWS, open standards run deep in our DNA, driving all that we do. That’s why we decided to build Amazon Elastic Cloud Compute (EC2) as a protocol-agnostic cloud computing service and Amazon SageMaker as a framework-agnostic deep learning service. Our commitment to openness continues as we enter the agentic AI era, extending to inter-agent […]| Amazon Web Services
245: What does post-Config look like?| www.proofofconcept.pub
Integrating the Model Context Protocol into a Phoenix Chat application using Hermes MCP to give your private LLM server a brain.| Revelry
OpenSearch now supports Model Context Protocol (MCP), a framework simplifying AI agent integration with search tools. Learn how MCP reduces development complexity and enables seamless AI-powered data access for enhanced search solutions.| OpenSearch
Last week we had an AI hackathon at work during which we added an MCP server to our Rails app. This was much easier than I expected, the result was both...| stanko.io
Atharva Raykar ...| blog.nilenso.com
Open-source MCP protocol provides a universal, open standard for connecting AI systems to data sources, Anthropic says.| InfoWorld
Exploring the rise of AI-powered development tools and their impact on software engineering, from GitHub Copilot to local LLMs. A deep dive into "vibe coding," agentic development, and how these tools reshape our workflows while examining opportunities and challenges.| Nicolas Brousse - Resume & Blog
Manage your apps and databases with the Heroku MCP Server STDIO mode, a specialized Model Context Protocol (MCP) implementation that facilitates interaction between large language models (LLMs) and the Heroku Platform. With this implementation, AI-powered applications like Claude Desktop, Cursor,| devcenter.heroku.com
Discover 3 emerging patterns for connecting AI agents to APIs — explore platforms, orchestration, and protocol-driven solutions.| Nordic APIs
The Model Context Protocol - that extends IDEs’ AI capabilities - is gaining rapid popularity. Why is this, and why should us developers pay attention to it?| newsletter.pragmaticengineer.com
Part of my job is working on presales activities. Typically, this involves answering RFI's and RFP's by creating solution designs, project p...| bartwullems.blogspot.com
Explaining the Model Context Protocol and everything that might go wrong.| blog.sshh.io
Learn how to use OpenSpartan Forerunner, a Model Context Protocol server that brings your Halo Infinite game data directly into LLM tools like VS Code and Claude Desktop for seamless AI-powered game analysis.| den.dev
Model context protocol (MCP)| openai.github.io
Check out how the MCP server can give you more control over the quality of vibe coding with AI agents like Cursor, and Claude Code!| qdrant.tech
It will be hard to compare data engineering in 2024 and data engineering in 2028 and say “those are the same things.”| roundup.getdbt.com
#32 | What is the Model Context Protocol (MCP) from Anthropic and how can you use it with AutoGen?| newsletter.victordibia.com
Not too long ago, Anthropic put forward a draft specification that outlines how authentication and authorization works in the context of MCP. It's pretty vanilla in terms of what you'd expect from an OAuth-based implementation, but it gets a bit trickier if we try and integrate Microsoft Entra ID into it.| den.dev
Sergei Egorov's personal website| bsideup.github.io
This new tool brings fast, local speech processing to low-end hardware, along with some useful new voice and AI features| Home Assistant
In today’s AI landscape, managing interactions between applications and language models can be complex and inconsistent. The Model Context Protocol (MCP) aims to solve this by providing a standardized way to handle these interactions. Let’s dive into what MCP is and why you might need it in your projects. What is MCP? The Model Context […]| Collabnix
The “Level 1 Agent” is a standardized way for agents to integrate with verifiable tools by using AVSs.| EigenLayer Blog
