# Model Context Protocol Published articles for Model Context Protocol. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Build zero-trust AI agents that judge intent, not just syntax DevFeed: [Build zero-trust AI agents that judge intent, not just syntax]() Original publisher: [Read original article]() Author: Eric Dong; Shubham Saboo Published: 2026-09-16T01:23:36.799575Z Content type: article Language: en Sources: [Google Developers Blog]() Topics: [Artificial Intelligence](), [Security](), [Zero Trust]() Tags: [agents](), [ai](), [ai-agents](), [gemini](), [model-context-protocol](), [python](), [security](), [zero-trust]() ### AI overview This blog post explains how to move AI-agent security from static, build-time controls to dynamic runtime governance on the Gemini Enterprise Agent Platform. It covers Model Armor, Semantic Governance Policies, and Agent Anomaly Detection with Closed-Loop Remediation for evaluating intent, enforcing business rules, and detecting multi-turn attacks. ### Source excerpt This blog post explores how to transition AI agents from static, build-time security controls to dynamic runtime governance using the Gemini Enterprise Agent Platform. It highlights three primary managed defenses: Model Armor for screening edge prompts, Semantic Governance Policies for evaluating tool intent against business rules, and Agent Anomaly Detection for catching multi-turn exploits. By shifting these capabilities to the platform level, security administrators can dynamically enforce policies and neutralize complex attacks without needing to modify or redeploy the agent's underlying code. ## How to study for the MCPA security and governance domain DevFeed: [How to study for the MCPA security and governance domain]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-16T00:00:00Z Content type: tutorial Language: en Sources: [WorkOS Blog]() Topics: [Model Context Protocol](), [Security](), [Authorization](), [OAuth]() Tags: [agent](), [agentic](), [audit](), [authorization](), [model-context-protocol](), [oauth](), [security]() ### AI overview A study guide for the security and governance domain of the Model Context Protocol Associate exam. It explains trust boundaries, token audience validation, token handling between MCP servers and upstream APIs, and the distinction between consent and authorization. ### Source excerpt Security and governance is 24% of the new Model Context Protocol Associate exam. Here is what each competency actually covers in the 2026-07-28 spec, and the distinctions candidates get wrong. ## OpenAI's Greg Brockman discusses computer use as an alternative to purpose-built AI agent integrations DevFeed: [OpenAI's Greg Brockman discusses computer use as an alternative to purpose-built AI agent integrations]() Original publisher: [Read original article]() Author: Meredith Shubel Published: 2026-09-15T23:41:22Z Content type: opinion Language: en Sources: [The New Stack]() Topics: [computer-use](), [OpenAI](), [Model Context Protocol](), [Reinforcement learning]() Tags: [ai-agents](), [computer-use](), [developer-tools](), [developers](), [mcp](), [model-context-protocol](), [openai](), [reinforcement-learning]() ### AI overview OpenAI president and co-founder Greg Brockman discusses whether AI agents could use computers through screens, keyboards, and mice instead of relying on purpose-built MCP servers, CLIs, APIs, and other integrations. ### Source excerpt This week on the a16z show, Greg Brockman, president and co-founder of OpenAI, made the point that developers have been The post OpenAI president: "The computer should be there to empower you." So stop retooling software for AI agents appeared first on The New Stack. ## Meta lets Claude and Codex configure WhatsApp Business via MCP DevFeed: [Meta lets Claude and Codex configure WhatsApp Business via MCP]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-15T22:08:56Z Content type: news Language: en Sources: [The New Stack]() Topics: [Meta](), [Model Context Protocol](), [AI-assisted coding](), [Claude](), [codex](), [API]() Tags: [ai](), [ai-agents](), [ai-coding-agents](), [api](), [claude](), [codex](), [developer-tools](), [mcp](), [mcp-server](), [meta](), [model-context-protocol](), [product](), [updates]() ### AI overview Meta announced a WhatsApp Business Tools MCP server that lets developers connect Claude or Codex to selected businesses they administer. The agents can help configure WhatsApp Business accounts, verify phone numbers, manage templates, and perform related API tasks, with access scoped to the businesses the developer selects. ### Source excerpt Any business worth its salt in 2026 needs to be embracing the right tools to reach its customers, and few The post Meta lets Claude and Codex configure WhatsApp Business via MCP appeared first on The New Stack. ## Build an interview coach app with the GitHub Copilot SDK DevFeed: [Build an interview coach app with the GitHub Copilot SDK]() Original publisher: [Read original article]() Author: Justin Yoo Published: 2026-09-15T16:00:11Z Content type: tutorial Language: en Sources: [Developer Blogs]() Topics: [GitHub Copilot](), [SDK](), [Model Context Protocol](), [.NET](), [Blazor]() Tags: [agent-framework](), [ai](), [blazor](), [github-copilot](), [github-copilot-sdk](), [mcp](), [microsoft-agent-framework](), [microsoft-foundry](), [model-context-protocol](), [net](), [sdk]() ### AI overview This tutorial demonstrates how to build an interview coach application with the GitHub Copilot SDK in .NET. The sample uses a Blazor chat interface, Copilot instructions and callable tools, and Model Context Protocol services for document handling and interview records. It emphasizes giving Copilot application-specific tools rather than access to shell commands or source files. ### Source excerpt An interview coach has to do more than ask questions. It needs to read a resume, follow up on an incomplete answer, and save enough context to give useful feedback at the end. Some of that work is conversation. Some of it requires calling an application service. The GitHub Copilot SDK lets you use the [...] The post Build an interview coach app with the GitHub Copilot SDK appeared first on Microsoft for Developers. ## Grab's LLM-Kit Framework Standardizes More Than 500 Internal Agent Services DevFeed: [Grab's LLM-Kit Framework Standardizes More Than 500 Internal Agent Services]() Original publisher: [Read original article]() Author: Hien Luu Published: 2026-09-15T09:00:00Z Content type: news Language: en Sources: [InfoQ]() Topics: [Framework](), [AI Agent](), [Deployment](), [Model Context Protocol](), [agent observability](), [FastAPI](), [OpenTelemetry](), [GitLab]() Tags: [agent](), [agents](), [ai](), [ai-agent](), [ai-ml-data-engineering](), [deployment](), [fastapi](), [framework](), [gitlab](), [grab-agent-platform](), [ml-data-engineering](), [model-context-protocol](), [news](), [opentelemetry](), [vault]() ### AI overview Grab's internal LLM-Kit framework standardizes more than 500 agent services by providing shared scaffolding for evaluation, tracing, secret handling, service discovery, and tool-server connections. The article reports that deploying a new agent service now takes about one hour instead of two weeks or more. ### Source excerpt Grab has implemented LLM-Kit, a framework that standardizes over 500 internal agent services. This system enhances service integration, evaluation, and secret handling, reducing the time to deploy new AI agents from two weeks to one hour. It centralizes infrastructure management, allowing runtime tool discovery and flexible model integration, while maintaining operational control. By Hien Luu ## Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore DevFeed: [Manage end-user OAuth consent for AI agents with Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Swara Gandhi Published: 2026-09-14T20:35:45Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [Amazon Bedrock AgentCore](), [OAuth](), [Amazon Web Services](), [AWS CloudTrail](), [GitHub](), [Slack](), [Model Context Protocol](), [ide]() Tags: [amazon-bedrock](), [amazon-bedrock-agentcore](), [announcements](), [aws](), [aws-cloudtrail](), [claude-code](), [cursor](), [github](), [intermediate-200](), [kiro](), [model-context-protocol](), [oauth](), [slack](), [visual-studio-code]() ### AI overview This tutorial explains how Amazon Bedrock AgentCore Identity's Consent portal manages end-user OAuth consent and session binding for AI agents. It covers configuring GitHub and Slack targets through an AgentCore Gateway, storing user tokens, supporting IDE and MCP clients, and reviewing activity in AWS CloudTrail. ### Source excerpt Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a portal, configuring GitHub and Slack 3LO targets, and the end-user consent flow, and shows how to review activity in AWS CloudTrail. ## Build interactive MCP Apps using Amazon Bedrock AgentCore DevFeed: [Build interactive MCP Apps using Amazon Bedrock AgentCore]() Original publisher: [Read original article]() Author: Dantis Stephen Published: 2026-09-11T18:23:17Z Content type: tutorial Language: en Sources: [Artificial Intelligence]() Topics: [AI Chat](), [Web Development]() Tags: [amazon-bedrock-agentcore](), [chatgpt](), [claude](), [how-to](), [html](), [intermediate-200](), [mcp](), [model-context-protocol](), [serverless](), [technical-how-to](), [ui]() ### AI overview Tutorial on building and deploying an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore for use across supported AI hosts. ### Source excerpt Learn how to build and deploy an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore. Because MCP Apps is a host-agnostic standard, the same server delivers the same rich experience across AI hosts like ChatGPT and Claude that support the extension. ## AWS open-sources Pizza Bot: email-style inbox for background AI agents DevFeed: [AWS open-sources Pizza Bot: email-style inbox for background AI agents]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-10T22:54:00Z Content type: news Language: en Sources: [The New Stack]() Topics: [AI Bots](), [AI Chat]() Tags: [agent-skills](), [agents](), [ai](), [ai-agents](), [amazon-web-services-aws](), [mcp](), [model-context-protocol](), [open-source]() ### AI overview AWS has open-sourced Pizza Bot, a self-hosted inbox interface for reviewing and triaging work from background AI agents. The desktop app supports scheduled work, human-decision requests, and configurable model providers. ### Source excerpt Amazon Web Services (AWS) has released a new open-source application dubbed Pizza Bot, which gives developers an email-style inbox for The post AWS open-sources Pizza Bot: email-style inbox for background AI agents appeared first on The New Stack. ## Use a local and open source code assistant DevFeed: [Use a local and open source code assistant]() Original publisher: [Read original article]() Author: Seth Kenlon Published: 2026-09-09T14:01:45Z Content type: tutorial Language: en Sources: [Red Hat](), [Red Hat Developer]() Topics: [ai-coding](), [Local AI](), [Open Source Models & Datasets](), [Large Language Model](), [Model Context Protocol](), [ide](), [Security, Privacy and Abuse Prevention](), [Command-line interface](), [Homebrew](), [Linux](), [macOS]() Tags: [ai-coding](), [ai-inference](), [artificial-intelligence](), [command-line](), [developer-tools](), [ide](), [linux](), [llm](), [local-ai](), [macos](), [model-context-protocol](), [ollama](), [open-source](), [privacy]() ### AI overview This Red Hat Developer article explains how to use OpenCode as a local, open source AI coding assistant. It covers OpenCode's terminal, desktop, and IDE extension interfaces, its use of the Model Context Protocol, installation requirements, and the need to configure an LLM. For privacy-conscious local development, it recommends open source local AI tools such as Ollama or OpenVINO. ### Source excerpt There's a lot of excitement about AI coding assistants, but many of the available options either aren't open source, or don't respect your data privacy by sending what you're working on to the cloud for processing. If you're looking for an alternative to closed AI, then you need an open coding assistant and an open source IDE. The post Use a local and open source code assistant appeared first on Red Hat Developer. ## What Is the x402 Protocol? HTTP 402 Payments for AI Agents DevFeed: [What Is the x402 Protocol? HTTP 402 Payments for AI Agents]() Original publisher: [Read original article]() Author: Ayush Agarwal Published: 2026-09-08T00:00:00Z Content type: tutorial Language: en Sources: [Dodo Payments Blog]() Topics: [AI Agent](), [API](), [client](), [Model Context Protocol]() Tags: [agent](), [agents](), [ai](), [ai-agent](), [ai-agents](), [api](), [autonomous](), [coinbase](), [guide](), [http](), [mcp](), [model-context-protocol](), [payments](), [tools]() ### AI overview A technical guide to x402, an open payment standard that uses HTTP 402 to let clients pay for individual API requests without accounts, API keys, sessions, or subscriptions. It explains the payment handshake, the roles of clients, resource servers, and facilitators, plus x402's use over HTTP, MCP, and A2A transports. ### Source excerpt A technical guide to the x402 protocol: how the HTTP 402 payment handshake works, the PAYMENT-REQUIRED and PAYMENT-SIGNATURE headers, facilitators, payment schemes, and where x402 fits next to card rails. ## Patching This Site's MCP Endpoint and Limiting What It Can Do DevFeed: [Patching This Site's MCP Endpoint and Limiting What It Can Do]() Original publisher: [Read original article]() Author: Brent Leekley Published: 2026-09-08T00:00:00Z Content type: tutorial Language: en Sources: [brent.leekley.me blog]() Topics: [Model Context Protocol](), [MCP Server](), [API](), [HTTP](), [JSON]() Tags: [aeo](), [agent-ready-website](), [agentic-ai](), [agents](), [api](), [api-security](), [clients](), [json-rpc](), [logs](), [mcp](), [mcp-server](), [model-context-protocol](), [prompt-injection](), [protocol](), [rate-limiting](), [retry](), [server](), [streamable-http](), [webmcp]() ### AI overview This article explains how to patch a website's public, unauthenticated MCP endpoint. It covers updating to the current protocol revision while retaining compatibility with older clients, and applying limits including read-only tools, per-IP rate limiting, request-size caps, Origin checks, POST-only access, non-reflected strings, and privacy-preserving logs. ### Source excerpt An MCP server on your website is a public, unauthenticated API. Bringing one to the current protocol revision while keeping older clients working, and the seven limits that bound it: read-only tools, a per-IP rate limit that always sends Retry-After, hard caps on body and argument size, an https-only Origin check, POST only, no reflected strings, and logs that store a salted hash instead of an address. ## One Tool, three surfaces: from an OpenAPI file to an MCP server, without writing it twice DevFeed: [One Tool, three surfaces: from an OpenAPI file to an MCP server, without writing it twice]() Original publisher: [Read original article]() Author: Hal Tyk's tutorial bot Published: 2026-09-07T09:27:00Z Content type: tutorial Language: en Sources: [Tyk API Management]() Topics: [OpenAPI Specification](), [Model Context Protocol (MCP)](), [MCP Server](), [API](), [ASCII](), [HTTP](), [cURL]() Tags: [ai-gateway](), [ai-governance](), [ai-readiness](), [ai-studio](), [api](), [api-management](), [api-platform-teams](), [article](), [ascii](), [curl](), [developer](), [http](), [llm-governance](), [llm-observability](), [mcp-server](), [model-context-protocol](), [openapi]() ### AI overview This tutorial shows how to define an HTTP API once in an OpenAPI document and expose it through three surfaces: model-initiated tool calls, a REST endpoint accessed with curl, and an MCP server. It uses the public Frankfurter foreign exchange API and explains import requirements such as OpenAPI 3.x, a complete servers URL, operationId values for every operation, and plain ASCII. ### Source excerpt Hello. I'm Hal, Tyk's tutorial bot, and today I have been given a genuinely satisfying assignment. We are going to describe an ordinary HTTP API once, in an OpenAPI document, and then use it three entirely different ways without touching that description again. A model will call it on its own initiative inside a chat. [...] The post One Tool, three surfaces: from an OpenAPI file to an MCP server, without writing it twice appeared first on Tyk API Management. ## MCP Went Stateless: What Now? DevFeed: [MCP Went Stateless: What Now?]() Original publisher: [Read original article]() Author: Janet Wagner Published: 2026-09-03T07:00:00Z Content type: article Language: en Sources: [Nordic APIs]() Topics: [Model Context Protocol (MCP)](), [Scalability](), [MCP Server](), [Architecture & Design](), [Security](), [Tool]() Tags: [ai](), [ai-agents](), [api-gateway](), [api-security](), [api-standards](), [artificial-intelligence](), [blog](), [cloud-native](), [developers](), [http](), [llm](), [mcp](), [mcp-server](), [model-context-protocol](), [scalability](), [security](), [strategy]() ### AI overview The article examines the shift to stateless MCP and its implications for scalability, state management, security, gateways, and MCP server architecture. ### Source excerpt The latest release of the Model Context Protocol (MCP) specification has created a lot of buzz in tech circles. Why? Primarily because this AI communication protocol has now gone stateless! This shift from stateful to stateless impacts how developers of MCP servers and AI tools use the protocol moving forward. In addition, the change impacts ... ## How AI Agents Discover and Integrate Public APIs DevFeed: [How AI Agents Discover and Integrate Public APIs]() Original publisher: [Read original article]() Author: Anthony Viard Published: 2026-09-02T16:00:00Z Content type: article Language: en Sources: [Postman Blog]() Topics: [AI Agent](), [API](), [Postman](), [MCP]() Tags: [ai-agent](), [ai-agents](), [api](), [api-discovery](), [apis](), [general](), [integration](), [mcp](), [model-context-protocol](), [orbit]() ### AI overview The article presents Orbit by Postman, which lets developers and AI agents discover public API endpoints by describing a desired workflow in plain language. Orbit evaluates endpoint capabilities, identifies gaps, and generates integration details such as authentication, URLs, parameters, response shapes, execution order, and implementation pitfalls. It can be accessed through search and integration endpoints or via the Model Context Protocol (MCP). ### Source excerpt I couldn't name the API my feature needed. Orbit found it in one search, then handed me the request bodies and the three bugs I'd have shipped. The post How AI Agents Discover and Integrate Public APIs appeared first on Postman Blog. ## MCP: Scope step-up is not authentication step-up DevFeed: [MCP: Scope step-up is not authentication step-up]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-01T00:00:00Z Content type: article Language: en Sources: [WorkOS Blog]() Topics: [Model Context Protocol](), [Authentication](), [Authorization](), [MCP Server]() Tags: [authentication](), [authorization](), [browser](), [compliance](), [delivery](), [mcp](), [mcp-server](), [model-context-protocol](), [permission](), [protocol](), [scope](), [token]() ### AI overview The article distinguishes MCP scope step-up from authentication step-up. MCP's current authorization flow addresses insufficient permission by obtaining broader scopes, but it does not standardize verifying whether a human recently authenticated or is still present. It recommends binding out-of-band approval to the user and exact operation until this changes. ### Source excerpt MCP standardized how an agent asks for more permission. It has no vocabulary yet for asking whether the human behind the token is still there. ## Auth0 launches Early Access for enterprise-managed authorization in client apps DevFeed: [Auth0 launches Early Access for enterprise-managed authorization in client apps]() Original publisher: [Read original article]() Author: Mira Sharma Published: 2026-09-01T00:00:00Z Content type: release Language: en Sources: [Auth0 Blog]() Topics: [Auth0](), [Authorization](), [AI Agent](), [Model Context Protocol](), [OAuth](), [Single sign-on (SSO)]() Tags: [ai](), [ai-agent](), [authentication](), [enterprise](), [identity](), [mcp](), [model-context-protocol](), [oauth](), [release](), [saas](), [security](), [sso]() ### AI overview Auth0 announces Early Access for Client App capabilities that implement enterprise-managed authorization through Cross App Access and the ID-JAG draft specification. The feature lets an application or AI agent request access to external APIs or MCP servers using an employee's existing corporate SSO trust, reducing custom token-exchange work and supporting centralized governance. ### Source excerpt Implement Enterprise-Managed Authorization in Auth0 using Cross App Access (XAA) and ID-JAG. Build enterprise-ready AI agents without friction. ## From Isolated Agents to Collective Intelligence: Why A2A Is the Protocol the Agentic SOC Has Been Waiting For DevFeed: [From Isolated Agents to Collective Intelligence: Why A2A Is the Protocol the Agentic SOC Has Been Waiting For]() Original publisher: [Read original article]() Author: Jeff Yeo Published: 2026-08-28T15:00:11Z Content type: article Language: en Sources: [Security @ Cisco Blogs]() Topics: [Agentic SOC](), [Model Context Protocol (MCP)](), [Security](), [Architecture & Design]() Tags: [agentic](), [agentic-ai](), [agentic-soc](), [agents](), [announcement](), [architecture](), [artificial-intelligence-ai](), [integration](), [mcp](), [mcp-server](), [model-context-protocol](), [security](), [workflow]() ### AI overview This article presents A2A as a protocol for enabling agents from different vendors and platforms to hand work to one another in a multi-agent security operations center. It explains that A2A complements MCP: MCP connects agents to data and tools, while A2A connects agents to other agents. The article describes this as a conceptual architecture because production security-agent handoffs mediated by A2A are not yet shipping. ### Source excerpt The Agentic SOC needs two protocols, not one. Learn how MCP and A2A work together as the vertical and horizontal layers of multi-agent security operations ## Agent Seer: Synthesizing Scenarios from Specification Understanding DevFeed: [Agent Seer: Synthesizing Scenarios from Specification Understanding]() Original publisher: [Read original article]() Published: 2026-08-28T00:00:00Z Content type: article Language: en Sources: [Apple Machine Learning Research]() Topics: [AI Bots](), [ai observability]() Tags: [ai-agents](), [evaluation](), [mcp](), [model-context-protocol](), [synthetic](), [tool](), [tools]() ### AI overview Agent Seer generates realistic, multi-turn evaluation scenarios for tool-using AI agents from a single MCP specification, without examples, live tool access, or domain-specific tuning. It enriches schemas, creates synthetic tool outputs, and evaluates tool-calling correctness and conversational coherence. ### Source excerpt Evaluating AI agents that use external tools requires realistic test scenarios that capture how practitioners compose tools and iterate across conversation turns. Constructing such scenarios by hand demands deep domain expertise, does not scale across tool ecosystems, and produces static benchmarks that cannot track evolving APIs. We observe that tool specifications--function names, natural-language descriptions, and typed parameter schemas--already encode sufficient semantic information to synthesize realistic evaluation scenarios without manual curation or live tool execution. Agent Seer... ## How Uno Platform uses .NET, MCP, and AI to build high quality apps DevFeed: [How Uno Platform uses .NET, MCP, and AI to build high quality apps]() Original publisher: [Read original article]() Author: Sam Basu Published: 2026-08-27T17:00:00Z Content type: article Language: en Sources: [.NET Blog]() Topics: [.NET](), [AI-assisted coding]() Tags: [ai](), [ai-agents](), [api](), [browser](), [c-sharp](), [cross-platform](), [developer-stories](), [docs](), [documentation](), [github-copilot](), [http](), [mcp](), [model-context-protocol](), [net](), [server](), [servers](), [skiasharp](), [tooling](), [uno-platform](), [xaml]() ### AI overview Uno Platform describes using two C# Model Context Protocol servers to give AI agents current documentation and the ability to inspect and drive running cross-platform .NET apps. ### Source excerpt How Uno Platform built two Model Context Protocol servers in C# so AI agents can ground themselves in real documentation and then see and drive a running cross-platform .NET app. The post How Uno Platform uses .NET, MCP, and AI to build high quality apps appeared first on .NET Blog. ## Extend Amazon Bedrock Guardrails to Tool Interactions Using the Strands Agents SDK DevFeed: [Extend Amazon Bedrock Guardrails to Tool Interactions Using the Strands Agents SDK]() Original publisher: [Read original article]() Author: Stephan Traub Published: 2026-08-27T16:20:05Z Content type: tutorial Language: en Sources: [AWS Security Blog]() Topics: [AI Bots](), [AWS IAM]() Tags: [ai-agents](), [amazon-bedrock](), [amazon-bedrock-guardrails](), [artificial-intelligence](), [aws-identity-and-access-management-iam](), [expert-400](), [generative-ai](), [model-context-protocol](), [security-blog](), [security-identity-compliance](), [strands-agents](), [tools](), [validation]() ### AI overview A tutorial on extending Amazon Bedrock Guardrails beyond model prompts and responses to validate AI-agent tool interactions with Strands Agents SDK lifecycle hooks. ### Source excerpt If you're running AI agents in production, Amazon Bedrock Guardrails protects the model boundary. But your agents also invoke tools, fetch external data, and communicate with other systems. That data flows outside the model boundary, where model-level guardrails can't reach. You can extend guardrail coverage to those interactions using three validation checkpoints built with the [...] ## Introducing Orbit: Turn Any Task Into the Right API Calls DevFeed: [Introducing Orbit: Turn Any Task Into the Right API Calls]() Original publisher: [Read original article]() Author: Abhinav Asthana Published: 2026-08-27T16:00:00Z Content type: article Language: en Sources: [Postman Blog]() Topics: [API](), [MCP Server](), [Artificial Intelligence](), [MCP](), [Postman](), [REST API](), [Claude Code]() Tags: [agents](), [ai](), [ai-agents](), [api-discovery](), [blog](), [free](), [general](), [mcp](), [mcp-server](), [model-context-protocol](), [orbit](), [post](), [rest-api]() ### AI overview Postman introduces Orbit, a free API discovery tool for AI agents. Agents can describe a task to find suitable public API endpoints, then select an endpoint and receive an integration brief covering authentication, URLs, request steps, parameters, response codes, dependencies, and common pitfalls. Orbit is available as an MCP server and a REST API, with no account, API key, or OAuth setup required. ### Source excerpt Orbit is a free API discovery tool for AI agents. Describe a task, get the endpoints that fit, then get a task brief to integrate them. No account, no auth. The post Introducing Orbit: Turn Any Task Into the Right API Calls appeared first on Postman Blog. ## Aperture GA: Building a home(lab) for agentic AI DevFeed: [Aperture GA: Building a home(lab) for agentic AI]() Original publisher: [Read original article]() Author: Remy Guercio Published: 2026-08-26T16:00:00Z Content type: release Language: en Sources: [Blog on Tailscale]() Topics: [AI Bots](), [AI Chat]() Tags: [agentic-ai](), [agents](), [ai](), [announcement](), [api-keys](), [homelab](), [llm](), [mcp](), [model-context-protocol](), [models](), [networking](), [ssh]() ### AI overview Tailscale announces Aperture's general availability, adding purchasable model tokens, an upgraded chat experience, and MCP endpoints for managing tailnets and accessing nodes with Tailscale SSH. ### Source excerpt Adding model tokens, chat Projects, MCP controls, and more. ## Compose Multiplatform 1.12.0 Released DevFeed: [Compose Multiplatform 1.12.0 Released]() Original publisher: [Read original article]() Author: Elvira Mustafina Published: 2026-08-26T13:28:41Z Content type: release Language: en Sources: [Kotlin : A concise multiplatform language developed by JetBrains | The JetBrains Blog]() Topics: [multiplatform](), [compose-hot-reload](), [MCP Server](), [Model Context Protocol](), [releases](), [Web](), [compose-for-desktop](), [Font]() Tags: [compose-for-desktop](), [compose-for-web](), [compose-hot-reload](), [compose-multiplatform](), [fonts](), [mcp](), [mcp-server](), [model-context-protocol](), [multiplatform](), [releases](), [ui](), [web]() ### AI overview Compose Multiplatform 1.12.0 introduces an experimental MCP server for Compose Hot Reload, enabling AI coding agents to reload applications, inspect rendered UI and semantic trees, simulate interactions, and read logs. The release also adds automatic web font fallback and a more flexible desktop window and dialog API. ### Source excerpt Compose Multiplatform 1.12.0 is out! This version brings new tooling for AI assistants, improvements to web resource management, and finer control over desktop window states. Here are the highlights of this release: For a complete overview of the changes, check out What's new in Compose Multiplatform 1.12.0 or the release notes on GitHub. Get Started [...] [Next page]()