MCP para sa Mga Baguhan ay isang open-source na pang-edukasyong kurikulum para matutunan ang Model Context Protocol (MCP) - isang pinagsanib na balangkas para sa mga interaksyon sa pagitan ng mga AI model at mga kliyenteng aplikasyon. Ang repository na ito ay nagbibigay ng malawak na materyales sa pag-aaral kasama ang mga halimbawa ng kodigo sa maraming programming languages. Ito ay isang dokumentasyong nakatuon na repository. Karamihan sa setup ay ginagawa sa mga indibidwal na halimbawang proyekto at mga labs.
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Yeni Başlayanlar için MCP, Model Context Protocol (MCP) - AI modelleri ile istemci uygulamalar arasındaki etkileşimler için standart bir çerçeve olan MCP'yi öğrenmek için açık kaynaklı bir eğitim müfredatıdır. Bu depo, birden çok programlama dilinde pratik kod örnekleriyle kapsamlı öğrenme malzemeleri sunar. Bu, belge odaklı bir depodur. Çoğu kurulum bireysel örnek projeler ve laboratuvarlar içinde gerçekleşir. Örnek projeler aşağıdaki konumlardadır: - 03-GettingStarted/samples/ - Dil spesifik örnekler - 03-GettingStarted/01-first-server/solution/ - İlk sunucu uygulamaları - 03-GettingStarted/02-client/solution/ - İstemci uygulamaları - 11-MCPServerHandsOnLabs/ -…
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MCP для початківців — це відкритий навчальний курс для вивчення Протоколу Контексту Моделі (MCP) — стандартизованої рамки для взаємодії між AI-моделями та клієнтськими додатками. Цей репозиторій надає комплексні навчальні матеріали з практичними прикладами коду на кількох мовах програмування. Це репозиторій, орієнтований на документацію. Більшість налаштувань відбувається у кожному окремому прикладі проекту та лабораторії. Прикладні проєкти знаходяться в: - 03-GettingStarted/samples/ - Приклади для конкретних мов - 03-GettingStarted/01-first-server/solution/ - Перші реалізації серверів - 03-GettingStarted/02-client/solution/ - Клієнтські реалізації - 11-MCPServerHandsOnLabs/ - Комплексні лабораторії…
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MCP برائے مبتدیان ماڈل کانٹیکسٹ پروٹوکول (MCP) سیکھنے کے لیے ایک اوپن سورس تعلیمی نصاب ہے - جو AI ماڈلز اور کلائنٹ ایپلیکیشنز کے مابین تعاملات کے لیے ایک معیاری فریم ورک ہے۔ یہ ریپوزٹری مختلف پروگرامنگ زبانوں میں عملی کوڈ کی مثالوں کے ساتھ جامع تعلیمی مواد فراہم کرتی ہے۔ یہ ایک دستاویزی مرکزیت والی ریپوزٹری ہے۔ زیادہ تر سیٹ اپ نمونہ پروجیکٹس اور لیبز کے اندر ہوتا ہے۔ نمونہ پروجیکٹس درج ذیل جگہوں پر موجود ہیں: - 03-GettingStarted/samples/…
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MCP dành cho người mới bắt đầu là một chương trình học mở nguồn về giao thức Model Context Protocol (MCP) - một khuôn khổ tiêu chuẩn hóa cho sự tương tác giữa các mô hình AI và các ứng dụng khách. Kho lưu trữ này cung cấp tài liệu học tập toàn diện với các ví dụ mã thực hành trên nhiều ngôn ngữ lập trình. Đây là kho tài liệu tập trung. Hầu hết việc thiết lập diễn…
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Pyright is a Python static type checker written in TypeScript. Before changing code, read the repository Copilot instructions and the applicable contributor and test-policy guidance. For a reported issue, use…
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This repo ships the npm package @playwright/cli. The CLI itself is in microsoft/playwright, in packages/playwright-core/src/tools/: cli-client/ has the commands and their options, cli-daemon/ has the daemon that keeps the browser open between commands, and backend/ has the tools that the commands run. - What this repo owns: playwright-cli.js, which runs the CLI of the pinned playwright-core and adds the update check, skillCheck.js, the README, and the tests of the packaged CLI. - What is a copy: skills/playwright-cli/ is a copy…
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Python bindings for Playwright. The client in playwright/_impl/ talks to the Node.js driver in playwright/driver/ over a pipe. Everything comes from microsoft/playwright at the commit in DRIVER_VERSION: the driver, the generated API and the code that we port. .upstream/ is a full clone of it (gitignored). Read upstream code there. Do not edit, commit or switch branches in it. The client talks to the Node.js driver that is built from .upstream/. When the same calls fail in a Node.js test…
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These rules say how to write playwright/_impl from packages/playwright-core/src/client in microsoft/playwright. Use them at each roll, for every new or changed line of the client. The upstream code is in .upstream/, the checkout at the commit in DRIVER_VERSION. The steps of a roll are in the playwright-roll skill. The port is line by line. The structure of the Python follows the JavaScript. The timing of the Python follows asyncio. A reviewer reads the .ts file and the .py file side…
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These rules say how to write tests/async/{page,library} and tests/sync/{page,library} from tests/page and tests/library in microsoft/playwright, at the commit in DRIVER_VERSION. Use them at each roll, for every new or changed upstream test. The upstream tests are in .upstream/, the checkout at that commit. The steps of a roll are in the playwright-roll skill. The port is line by line, with zero deviations. A reviewer reads the .spec.ts file and the two .py files side by side. Each upstream statement maps…
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Instructions for AI coding agents working in the .NET codebase. The installable skills under /skills/ guide high-level application-development choices. They are not documentation or a checklist of framework behavior. Follow the consumer skill maintenance contract. Do not update them merely because a public API, package, sample, or implementation changed. This restriction concerns public consumer skills, not repository task skills under .github/skills/. See ./.github/skills/build-and-test/SKILL.md for detailed instructions on building, testing, and linting projects. See ./.github/skills/project-structure/SKILL.md for an overview of the project…
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This file documents the structure and conventions of the .NET samples so that agents (AI or human) can maintain them without rediscovering decisions. 1. Progressive complexity: Sections 01→05 build from "hello world" to production. Within 01-get-started, projects are numbered 01–05 and each step adds exactly one concept.
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Instructions for AI coding agents working in the Python codebase. Key Documentation: - DEV_SETUP.md - Development environment setup and available poe tasks - CODING_STANDARD.md - Canonical Python engineering and API-design standards - samples/SAMPLE_GUIDELINES.md - Sample structure and guidelines - Python function-calling loop specification - Required behavior, scenario-to-test mapping, coverage gaps, and extra validation for function-loop changes Agent Skills (.github/skills/) — detailed, task-specific instructions loaded on demand: - python-development — Python development workflow and routing to the canonical standards and task-specific…
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Agent-to-Agent (A2A) protocol support for inter-agent communication. A2A protocol metadata is stored under additional_properties["a2a"]. The legacy a2a_metadata key remains readable and is dual-written during the compatibility period defined by spec 005. Consuming legacy-only input emits FutureWarning; new callers should write only the canonical a2a key.
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