Directus launched a native MCP server that connects AI tools such as Cursor and Claude Desktop directly to a user's live database, letting developers scaffold collections and content teams translate p…
A developer's MCP-vs-REST sample repo shows that tool descriptions in MCP servers function as the API contract, with prose drift already appearing across two hand-written descriptions of the same rest…
An updated open source benchmark suite shows GraphQL is more token-efficient than REST and other JSON API technologies for connecting agents to deployed services, according to the benchmark's new numb…
A developer demonstrated that Azure API Management can serve as a unified gateway in front of a single backend, closing the authentication-parity gap between REST and MCP endpoints. The approach lets …
Ken Alger and the Mnemoverse team highlight a fundamental flaw in memory APIs for AI agents: they return flat lists with similarity scores but cannot express conflicts, supersessions, or invalidations…
MCP is not a replacement for REST APIs but an API protocol, the fifth iteration answering the same four questions since 1999, according to an analysis by the API Changelog. The article argues that fra…
Nexusx, a new Python package, lets developers model business entities, relationships, and use cases once, then derives GraphQL, REST, MCP, CLI, and TypeScript SDK interfaces from that single typed mod…
WorkOS, a developer platform, argues that MCP (Model Context Protocol) and REST are complementary layers rather than competing standards, with most MCP servers internally calling REST APIs. The compan…
Enterprise data architecture is shifting as AI-native systems become standard, with the Model Context Protocol (MCP) joining REST and GraphQL as a critical integration layer. MCP, introduced by Anthro…
The Model Context Protocol (MCP) is emerging as a standard interface for AI agents to connect with tools and data, drawing comparisons to REST but operating at a different layer. Developers should foc…
MikroTik gear paired with LLMs via REST/JSON APIs is producing usable results on small real networks, turning agentic tools into a force multiplier for operators who already know networking, according…
An engineer explains why directly wrapping REST APIs as MCP tools is a bad default, highlighting key differences in runtime environments. REST encodes control in application logic, while MCP moves con…
AI2Web, a new open protocol, launches to enable any website to work with every AI agent through a single interoperability layer, allowing site owners to describe capabilities once and automatically ex…
Cloud-connected Software as a Medical Device (SaMD) enables real-time data synchronization, AI-driven decision support, and remote patient monitoring. Building such applications requires expertise in …
Himanshu Agarwal argues that traditional QA interview preparation is obsolete for AI-first companies, where non-deterministic systems require testing behavioral properties like faithfulness and safety…
Decision records are emerging as a critical memory layer in AI-assisted software development, capturing not just what was built but why, as AI tools make code cheaper to generate and easier to refacto…
AWS and Cisco propose agentic overlays as a pragmatic solution to transform legacy REST-based enterprise services into agents compatible with the Agent-to-Agent (A2A) protocol and Model Context Protoc…
AI-enabled endpoints are reshaping web architecture by reviving service-oriented architecture (SOA) with flexible, intent-driven mediation, moving beyond rigid JSON APIs and XML-based SOA 1.0 to creat…
GraphQL, created at Facebook in 2012 and now governed by the GraphQL Foundation, is a query language and runtime that allows clients to request exactly the data they need from a single endpoint, solvi…
A new open protocol called ANIP (Agent-Native Interaction Protocol) enables websites to expose machine-readable interfaces for AI agents, allowing agents to discover and interact with site capabilitie…