# MCP Server An MCP server exposes data and tools to AI applications through the 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. ## SDK vs CLI vs MCP, a dev story DevFeed: [SDK vs CLI vs MCP, a dev story]() Original publisher: [Read original article]() Author: Anthony Viard Published: 2026-09-17T16:00:00Z Content type: opinion Language: en Sources: [Postman Blog]() Topics: [SDKs](), [MCP Server](), [Command-line interface](), [GitHub API](), [Claude Code](), [GitHub]() Tags: [ai-agents](), [claude](), [cli](), [code](), [general](), [mcp](), [mcp-server](), [model-context-protocol](), [postman](), [sdk](), [sdk-generation]() ### AI overview A developer compares SDKs, command-line tools, and MCP servers as ways for an agent to access the GitHub API. Using an internal release-readiness tool as a case study, the article explains that SDKs suit scheduled, predefined code while interactive agent use may require more improvisation. ### Source excerpt SDK, CLI, or MCP server for your agent? I measured the token cost and auth tradeoffs of all three against one real API. See which to pick. The post SDK vs CLI vs MCP, a dev story appeared first on Postman Blog. ## \[Aug 2026\] AI Community -- Activity Highlights and Achievements DevFeed: [\[Aug 2026\] AI Community -- Activity Highlights and Achievements]() Original publisher: [Read original article]() Author: Nari Yoon Published: 2026-09-17T05:12:15Z Content type: article Language: en Sources: [Google Developer Experts - Medium]() Topics: [Google AI](), [Google](), [google-antigravity](), [Artificial Intelligence](), [MCP Server](), [computer-use](), [Fine-tuning]() Tags: [2026](), [agentic-ai](), [ai](), [ai-coding-agents](), [ai-studio](), [antigravity](), [api](), [automation](), [community](), [computer-use](), [gemini](), [google](), [google-ai](), [google-cloud](), [mcp](), [mcp-server](), [multi-agent](), [ocr](), [paper](), [pitfalls]() ### AI overview A monthly roundup of Google AI community activities and achievements, covering Antigravity prototyping and engineering, AI coding agents, MCP-based remote control, computer-use agent orchestration, earthquake research, and TPU fine-tuning and migration guidance. ### Source excerpt We love sharing the accomplishments of the Google AI communities over the month. We appreciate all the hard work and dedication of our community members. Without further ado, here are the key highlights by products! Agentic DevelopmentAntigravityPrototype App: OCR and Text Extraction by the author Prototyping and Bringing Ideas to Application Using Google AI Studio and Antigravity 2.0 by AI GDE Joan Santoso (Indonesia) shares a rapid prototyping workflow building an AI-powered Form Extractor using the Gemini API, featuring a lightweight OCR and text extraction workflow. Antigravity Engineering Series by GDE Amulya Bhatia (Germany) focuses on key features of Antigravity 2.0 across 10 articles covering topics such as multi-agent orchestration, safety architecture, and workflow automation, accompanied by source code examples. (image soruce) Remote Control for Google Antigravity: Drive Your AI Coding Agent From Telegram 🛰 by GDE Nicola Guglielmi (Italy) introduces an open-source MCP server that turns Telegram into a remote control surface for AI coding agents. Before the Quake: How Antigravity CLI's AI Agents & IoT Data Predict Earthquakes by GDE Kanshi Tanaike (Japan) introduces the paper establishing Unified LAIC-AGW Theory by integrating ultra-dense IoT weather data with seismic moment tensors. It demonstrates a pre-seismic early warning capability by capturing enthalpy anomalies and acoustic-gravity waves. ADKAI GDE Henry Ruiz (US) and AI GDE Margaret Maynard-Reid (US) AI GDE Henry Ruiz (US) and AI GDE Margaret Maynard-Reid (US) introduced UISurf: An Operator-Centric Multi-Agent Platform for Observable and Cross-Environment UI Automation at the Agentic AI Summit 2026. They highlighted how the model-agnostic framework leverages the Google Cloud and Gemini ecosystems, such as GEAP and ADK, to orchestrate and evaluate computer-use agents across web, desktop, and mobile environments. Frameworks and ResearchTPU Introduction to SFT on TPU with Tunix -- 10 pitfalls until 2 ## Turso Accident Protection Enables Database Restoration for Up to 5 Days DevFeed: [Turso Accident Protection Enables Database Restoration for Up to 5 Days]() Original publisher: [Read original article]() Author: Pedro Muniz Published: 2026-09-16T00:00:00Z Content type: release Language: en Sources: [Turso Blog]() Topics: [Turso](), [Databases](), [MCP Server]() Tags: [ai-agents](), [database](), [databases](), [feature](), [mcp](), [mcp-server](), [turso]() ### AI overview Turso has released Accident Protection, allowing databases deleted on a paid plan to be restored for up to five days at no additional cost. The feature is available through the UI and Turso MCP server. ### Source excerpt Agents delete things. Now you can undelete them. Restore databases for up to 5 days after deletion, on any paid plan, at no additional cost. ## MCP authorization: governing tool calls beyond OAuth DevFeed: [MCP authorization: governing tool calls beyond OAuth]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-15T15:04:00Z Content type: tutorial Language: en Sources: [WorkOS Blog]() Topics: [Model Context Protocol](), [Authorization](), [MCP OAuth](), [MCP Server](), [OAuth]() Tags: [authorization](), [mcp](), [mcp-server](), [oauth](), [permissions](), [policy](), [scope](), [scopes]() ### AI overview This guide explains why OAuth scopes alone cannot govern the content and destination of MCP tool calls. It presents server- or gateway-side policy enforcement before execution, including request-content inspection, approval handling, and testing for data leakage. ### Source excerpt Secure MCP tool calls beyond OAuth scopes. Learn where to enforce tool permissions, check request content, and test for data leakage with Airlock. ## Announcing Meta Business Messaging MCP: Set up and manage WhatsApp Business from your AI agent DevFeed: [Announcing Meta Business Messaging MCP: Set up and manage WhatsApp Business from your AI agent]() Original publisher: [Read original article]() Published: 2026-09-15T14:00:49Z Content type: release Language: en Sources: [Facebook Developers]() Topics: [Model Context Protocol](), [MCP Server](), [AI Agent](), [Messaging](), [Meta](), [API]() Tags: [agent](), [ai-agent](), [api](), [mcp](), [mcp-server](), [messaging](), [meta](), [testing](), [whatsapp](), [workflow]() ### AI overview Meta announces Business Messaging MCP, an MCP server that connects AI coding agents to the WhatsApp Business Platform. It supports account and phone-number setup, message templates, webhooks, and test messages within the developer workflow. ### Source excerpt Business Messaging MCP connects your AI coding agent to the WhatsApp Business Platform, so you can create accounts, add numbers, build templates, and send test messages without leaving your workflow. ## Super Stack: Laravel Starter Kit With Filament and NativePHP DevFeed: [Super Stack: Laravel Starter Kit With Filament and NativePHP]() Original publisher: [Read original article]() Author: Yannick Lyn Fatt Published: 2026-09-15T02:50:55Z Content type: news Language: en Sources: [Laravel]() Topics: [Laravel](), [MCP](), [MCP Server](), [Model Context Protocol (MCP)](), [Open Source](), [PHP](), [Android](), [iOS]() Tags: [api](), [authentication](), [filament](), [github](), [laravel](), [laravel-packages](), [mcp](), [mcp-server](), [mobile](), [nativephp](), [open-source](), [starter-kits]() ### AI overview NativePHP released Super Stack, an open-source Laravel starter kit that combines a web app, Filament admin panel, native mobile app, Sanctum API tokens, and a Laravel MCP server in one repository. The MCP server is intended for local exploration and requires authentication before production deployment. ### Source excerpt Super Stack is an open-source Laravel starter kit from NativePHP with a Filament admin, a native mobile app, Sanctum, and a Laravel MCP server in one repo. The post Super Stack: Laravel Starter Kit With Filament and NativePHP appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox. ## Datadog named the Company to Beat for observability platforms in 2026 Gartner® AI Vendor Race report DevFeed: [Datadog named the Company to Beat for observability platforms in 2026 Gartner® AI Vendor Race report]() Original publisher: [Read original article]() Author: Yanbing Li Published: 2026-09-14T00:00:00Z Content type: article Language: en Sources: [Datadog | The Monitor blog]() Topics: [observability](), [agent observability](), [observability ai agents](), [incident](), [MCP Server](), [observability pipelines](), [OpenTelemetry](), [Security](), [Artificial Intelligence]() Tags: [agent-observability](), [ai-agents](), [datadog](), [incident-response](), [mcp-server](), [observability](), [observability-pipelines](), [opentelemetry]() ### AI overview Datadog says it was named the Company to Beat for observability platforms in Gartner's August 2026 AI Vendor Race research and a Leader in the 2026 Gartner Magic Quadrant for Observability Platforms. The article presents Datadog's unified observability and security platform, including autonomous incident investigation, AI agent and LLM application observability, an MCP Server for querying telemetry, and Observability Pipelines with OpenTelemetry support. ### Source excerpt Datadog has been recognized as the Company to Beat for observability platforms in the August 2026 Gartner® AI Vendor Race research. ## Deploy, Discover, Inspect, Observe: A Summer Spent Making a Public Vespa MCP Server DevFeed: [Deploy, Discover, Inspect, Observe: A Summer Spent Making a Public Vespa MCP Server]() Original publisher: [Read original article]() Author: eivinbingen oystein viktor mfstort Published: 2026-09-13T00:00:00Z Content type: article Language: en Sources: [Vespa Blog]() Topics: [Model Context Protocol (MCP)](), [MCP Server](), [Cloud](), [AI Agent](), [Large Language Model](), [Command-line interface]() Tags: [ai-agent](), [ai-assistants](), [claude](), [cli](), [cloud](), [codex](), [internships](), [language-models](), [mcp](), [mcp-server]() ### AI overview This article describes the construction of a standalone, publicly hosted Vespa Cloud MCP server. It explains how MCP connects AI assistants and language models to external systems through resources, tools, and prompts, and discusses evaluating MCP usage against terminal access and Vespa CLI access. ### Source excerpt We built a standalone Vespa Cloud MCP server as a summer interns project ## 4 Speculative Decoding Variants DevFeed: [4 Speculative Decoding Variants]() Original publisher: [Read original article]() Author: Avi Chawla Published: 2026-09-12T20:03:46Z Content type: article Language: en Sources: [Daily Dose of Data Science]() Topics: [dynatrace](), [MCP](), [MCP Server](), [Traces](), [Latency]() Tags: [coding-agents](), [dynatrace](), [latency](), [mcp](), [mcp-server](), [traces]() ### AI overview This article explains how Dynatrace's open-source MCP server and related skills bring production traces and logs into coding agents for performance investigations. It also introduces speculative decoding, in which a cheaper drafter proposes tokens and a target model verifies them in parallel, then outlines variants based on how drafts are produced. ### Source excerpt ...covered with tradeoffs in production. ## Agent Plugins package your skills, tools, and more DevFeed: [Agent Plugins package your skills, tools, and more]() Original publisher: [Read original article]() Author: Kevin Hou; Haoyu Wang; Alan Blount Published: 2026-09-12T11:04:33.891311Z Content type: article Language: en Sources: [Google Developers Blog]() Topics: [Agent Skills](), [Model Context Protocol (MCP)](), [MCP Server](), [Google](), [amazon](), [Microsoft](), [OpenAI](), [Vercel]() Tags: [agent-skills](), [amazon](), [google](), [maintainers](), [manifest](), [mcp](), [mcp-server](), [microsoft](), [openai](), [plugin](), [portable](), [skills](), [vercel]() ### AI overview The article introduces Agent Plugins 1.0.0, a vendor-neutral specification for packaging Agent Skills and MCP servers into portable plugins. It standardizes the manifest and directory layout so developers can distribute one package across clients while preserving client-specific flexibility. Google is joining the Core Maintainers and beginning support in its products. ### Source excerpt Agent Plugins 1.0.0 is a new, vendor-neutral directory specification--backed by Google, Amazon, Microsoft, and others--for packaging Agent Skills and MCP servers into a single portable unit. By standardizing the manifest (plugin.json) and utilizing a fixed directory layout, it eliminates the need for developers to maintain separate wrappers or configurations to support different AI coding agents and IDEs. Google has officially joined as a Core Maintainer and already rolled out support in the Agents CLI and Data Agent Kit, allowing developers to start building and distributing interoperable plugins today. ## The hard part of an MCP gateway is auth DevFeed: [The hard part of an MCP gateway is auth]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-11T15:22:28Z Content type: opinion Language: en Sources: [WorkOS Blog]() Topics: [MCP Server](), [Authorization](), [Model Context Protocol](), [Artificial Intelligence]() Tags: [audit](), [auth](), [github](), [integration](), [mcp](), [mcp-gateway](), [mcp-server](), [salesforce](), [scopes](), [slack](), [warehouse]() ### AI overview The article examines Sierra's internal MCP gateway and argues that its most difficult challenges are authentication, identity, per-tool scopes, consent, and audit rather than MCP protocol design. It also discusses integration work and the lack of standardized gateway behavior. ### Source excerpt Sierra's MCP gateway iceberg is a field report on agent auth: identity, per-tool scopes, consent, and audit are the submerged mass, and they ship off the shelf. ## A better way to build MCP servers with Laravel DevFeed: [A better way to build MCP servers with Laravel]() Original publisher: [Read original article]() Author: Pushpak Chhajed Published: 2026-09-11T12:01:00Z Content type: article Language: en Sources: [Laravel Blog]() Topics: [MCP](), [Laravel](), [MCP Server](), [context window](), [JSON Schema](), [Cloudflare]() Tags: [cloudflare](), [context-window](), [json-schema](), [laravel](), [mcp](), [mcp-server]() ### AI overview The article explains how Laravel MCP 1.0 uses searchable tool catalogs to avoid loading every MCP tool definition into an agent's context on every request. It describes the context costs of large tool surfaces and the evolution of the author's implementation. ### Source excerpt Every MCP tool loads on every request. Laravel MCP 1.0 fixes that with searchable tool catalogs: the same payload for 10 or 100 tools. ## Bifrost adds a remote MCP server, automated workflows, managed signing credentials, and AI build diagnoses DevFeed: [Bifrost adds a remote MCP server, automated workflows, managed signing credentials, and AI build diagnoses]() Original publisher: [Read original article]() Author: Yannick Lyn Fatt Published: 2026-09-10T17:06:47Z Content type: release Language: en Sources: [Laravel]() Topics: [Model Context Protocol](), [MCP Server](), [Artificial Intelligence](), [Pull Request]() Tags: [ai](), [bifrost](), [laravel](), [mcp](), [mcp-server](), [nativephp](), [news](), [workflows]() ### AI overview Bifrost, NativePHP's build and distribution service, marks its first anniversary with 10,000 successful builds and several new capabilities. The update adds a remote MCP server, event-driven workflows, managed signing credentials, and Claude-generated diagnoses for failed builds. ### Source excerpt Bifrost marks its first year and 10,000 successful builds with an MCP server, automated workflows, managed credentials, and AI build diagnoses. The post Bifrost Turns One With AI Builds and New Workflows appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox. ## Introducing the Backblaze B2 MCP Server DevFeed: [Introducing the Backblaze B2 MCP Server]() Original publisher: [Read original article]() Author: Jeronimo De Leon Published: 2026-09-08T18:13:00Z Content type: article Language: en Sources: [Backblaze Blog | Cloud Storage & Cloud Backup]() Topics: [MCP Server](), [Model Context Protocol](), [Cloud](), [Authorization](), [Open Source]() Tags: [agents](), [ai](), [ai-ml](), [api](), [b2cloud](), [cloud](), [cloud-storage](), [developers](), [featured](), [featured-cloud-storage](), [mcp](), [mcp-server](), [object-storage](), [open-source](), [storage](), [uncategorized]() ### AI overview Backblaze introduces an open-source B2 MCP Server that lets AI agents operate cloud object storage through MCP-compatible clients. Access is constrained by the permissions of the connected B2 application key, including limits on buckets and operations. ### Source excerpt The Backblaze B2 MCP Server gives AI agents a safe, standard way to operate cloud object storage. Connect MCP-compatible clients to scoped B2 application keys, manage files and buckets, move large objects directly, and control destructive actions with configurable safeguards. The post Introducing the Backblaze B2 MCP Server appeared first on Backblaze Blog | Cloud Storage & Cloud Backup ## 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. ## Build a memory MCP server on Appwrite DevFeed: [Build a memory MCP server on Appwrite]() Original publisher: [Read original article]() Author: Atharva Deosthale Published: 2026-09-04T00:00:00Z Content type: tutorial Language: en Sources: [Appwrite Blog]() Topics: [Appwrite](), [Model Context Protocol](), [MCP Server](), [OAuth 2.0](), [Serverless](), [Databases](), [Embeddings](), [Claude Code](), [web applications]() Tags: [ai](), [ai-assistants](), [ai-tools](), [api](), [claude](), [claude-code](), [embeddings](), [mcp](), [mcp-server](), [memory](), [net](), [oauth2](), [sdk](), [serverless](), [tutorial](), [tutorials]() ### AI overview This tutorial builds Recall, a small persistent-memory app on Appwrite. It hosts a stateless remote MCP server in an Appwrite Function, stores embedded memories in VectorsDB for similarity search, and uses OAuth2 for user-authorized access. It also explains connecting Claude Code to the server. ### Source excerpt Give your AI tools a shared, persistent memory. Host a stateless MCP server on Appwrite Functions, store memories in VectorsDB, and protect it with your project's OAuth2 server. ## 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 ... ## What is MCP authorization? How OAuth works for AI agents DevFeed: [What is MCP authorization? How OAuth works for AI agents]() Original publisher: [Read original article]() Author: WorkOS Published: 2026-09-03T00:00:00Z Content type: tutorial Language: en Sources: [WorkOS Blog]() Topics: [Model Context Protocol (MCP)](), [OAuth](), [MCP Server](), [AI Agent](), [Authorization](), [Authentication]() Tags: [agents](), [authentication](), [authorization](), [discovery](), [mcp](), [oauth](), [scopes](), [token]() ### AI overview This tutorial explains MCP authorization as an OAuth 2.1 flow for allowing AI agents to call protected MCP servers on a user's behalf. It covers the roles of the MCP server, client, and authorization server; audience-bound tokens; discovery; deprecated Dynamic Client Registration; and step-up authorization for additional scopes. ### Source excerpt MCP authorization is the OAuth 2.1 flow that lets an AI agent call a protected MCP server on a user's behalf. Here is how it works, step by step, under the 2026-07-28 spec. ## Apollo GraphOS and Apollo MCP Server Named 2026 API Award Winners DevFeed: [Apollo GraphOS and Apollo MCP Server Named 2026 API Award Winners]() Original publisher: [Read original article]() Author: Jennifer Tyrseck Published: 2026-09-02T16:44:59Z Content type: release Language: en Sources: [Apollo Blog]() Topics: [API](), [MCP Server](), [GraphQL](), [Model Context Protocol](), [Orchestration]() Tags: [2026](), [agents](), [announcement](), [api](), [api-ecosystem](), [apollo-mcp-server](), [graphos](), [graphql](), [mcp](), [mcp-server]() ### AI overview Apollo GraphOS and Apollo MCP Server won 2026 API Awards in the Best Innovation in API Orchestration and Best Innovation in AI API categories, respectively. The article describes GraphOS as a platform for federating and governing APIs and Apollo MCP Server as a way to expose GraphQL APIs for direct use by AI agents through the Model Context Protocol. ### Source excerpt Exposing GraphQL APIs as tools AI agents can call directly earned Apollo MCP Server a 2026 API Award for Best Innovation in AI API. See why. ## 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. ## Coding Challenge #134 - Agentic Engineering Graph DevFeed: [Coding Challenge #134 - Agentic Engineering Graph]() Original publisher: [Read original article]() Author: John Crickett Published: 2026-08-29T08:01:12Z Content type: tutorial Language: en Sources: [Coding Challenges]() Topics: [agentic-coding](), [Orchestration](), [coding](), [MCP Server](), [Langgraph](), [MCP](), [Chaos Engineering](), [ide]() Tags: [agent](), [agentic](), [agentic-coding](), [agentic-engineering](), [ci](), [code](), [distributed-systems](), [langgraph](), [news](), [orchestration](), [review](), [sonarqube](), [systems]() ### AI overview A coding challenge guides readers through building an agentic engineering graph: a small orchestration system that runs an autonomous coding loop of planning, coding, testing, review, and retry. It uses scripts and files for dispatch and persisted state, adds a deterministic Sonar static-analysis quality gate, and then replaces it with an AI-augmented review node using the SonarQube MCP Server. ### Source excerpt This challenge is to build your own agentic engineering graph. ## 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. ## 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]()