Introducing MCP CLI: A way to call MCP Servers Efficiently
Introducing mcp-cli, a lightweight CLI tool for efficient, dynamic discovery and interaction with MCP servers, drastically reducing token usage for AI agents.
Introducing mcp-cli, a lightweight CLI tool for efficient, dynamic discovery and interaction with MCP servers, drastically reducing token usage for AI agents.
OpenAI launches its ChatGPT App Directory and SDK, transforming the AI into a platform for third-party interactive applications.
An analysis of Goose, an AI coding agent, highlighting its unique features like reusable workflow recipes and how it differs from other AI development tools.
Introduces Agent-Matrix, an open-source OS for managing autonomous AI agents as living systems, aiming to eliminate maintenance.
A curated collection of links covering software architecture, neuromorphic computing, observability trends, AI protocols, and leadership in tech.
A developer reflects on a pivotal 2025, shifting focus from React/Remix to AI and the Model Context Protocol (MCP) to build interactive, agent-like software.
Learn how to teach AI agents to understand and use custom enterprise libraries and domain-specific languages using Kiro and MCP.
A developer's journey to understanding AI agents and the Model Context Protocol (MCP), moving beyond traditional data pipeline thinking.
Argues that enterprises should use remote MCP servers instead of local stdio servers for better security, governance, and scalability with AI agents.
A guide to improving LLM-generated code quality by using contextual rules and agents to enforce production-ready patterns and architecture.
A guide on teaching the Kiro AI agent to work with custom libraries and DSLs using steering files and the Model Context Protocol (MCP).
Explains the Model Context Protocol (MCP) by drawing parallels to RESTful HTTP architecture, using a travel planner server example.
A guide to building a Model Context Protocol (MCP) server using a ready-made TypeScript template that handles boilerplate setup.
A framework for evaluating security threats and risks in Model Context Protocol (MCP) implementations, based on recent incidents.
Analysis of a security attack exploiting toxic flows in the Model Context Protocol (MCP) to target Cursor IDE users via Jira tickets.
A guide to integrating Microsoft's Learn MCP Server with Semantic Kernel in C#/.NET for accessing up-to-date Microsoft documentation.
Explores the emerging security research landscape around the Model Context Protocol (MCP), a new standard for AI model communication.
A guide to building and using Model Context Protocol (MCP) servers with Spring Boot and Spring AI for standardized AI application communication.
Argues that companies built solely on the Model Context Protocol (MCP) are unlikely to succeed, while those using MCP as an integration layer have a better chance.
A guide to the Model Context Protocol (MCP) for AI agents, explaining its core capabilities using a story-driven example.