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MCP developer guide | Visual Studio Code Extension API Visual Studio Code implements the full MCP specification, enabling you to create MCP servers that provide tools, prompts, and resources for extending the capabilities of AI agents in VS Code This guide covers everything you need to know to build MCP servers that work seamlessly with VS Code and other MCP clients
Language Model Tool API | Visual Studio Code Extension API In this extension guide, you learn how to create a language model tool by using the Language Model Tools API and how to implement tool calling in a chat extension You can also extend the chat experience with specialized tools by contributing an MCP server
AI Toolkit for Visual Studio Code Discover and access AI models from multiple sources including GitHub, ONNX, Ollama, OpenAI, Anthropic, and Google Compare models side-by-side and find the perfect fit for your use case Interactive chat environment for real-time model testing Experiment with different prompts, parameters, and multi-modal inputs including images and attachments
Language Model API - Visual Studio Code The Language Model API enables you to use the Language Model and integrate AI-powered features and natural language processing in your Visual Studio Code extension
Get started with GitHub Copilot in VS Code Visual Studio Code has rich AI features powered by GitHub In this tutorial, you discover how to use AI while coding in the editor, to ask questions about your code, and to start an editing session to make changes across multiple files
Your First Extension | Visual Studio Code Extension API First, use Yeoman and VS Code Extension Generator to scaffold a TypeScript or JavaScript project ready for development For a TypeScript project, fill out the following fields: # ? What type of extension do you want to create? New Extension (TypeScript) # ? What's the name of your extension?