AI Extension Server

AI Browser Extension Interface Server enables AI systems to observe and control web browsers through a standardized HTTP API. The system synchronizes your physical browser with a virtual browser, allo...

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Microsoft.Extensions.AI libraries

Learn how to use the Microsoft.Extensions.AI libraries to integrate and interact with various AI services in your applications.

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MCP developer guide | Visual Studio Code Extension API

A comprehensive guide for developers building MCP servers that work with Visual Studio Code.

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Setting up a Remote AI Code Assistant: Ollama

A step-by-step guide to creating a powerful, private AI coding assistant using Ollama and Continue extension in VS Code, with remote server capabilities.

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The AltTester® AI extension works as an MCP server. MCP (Model Context Protocol) is a standardized way for AI applications to access external tools and data sources securely and efficiently.

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GitHub

🌟 Turn your Chrome browser into your intelligent assistant - Let AI take control of your browser, transforming it into a powerful AI-controlled automation tool.

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aibe-server · PyPI

AI Browser Extension Interface Server enables AI systems to observe and control web browsers through a standardized HTTP API. The system synchronizes your physical browser with a

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Code Server

Code Server extends the capabilities of JupyterLab by providing a cloud-based IDE with GPU resources that enables efficient coding, collaboration, and development of ML models. It enables AI-users to

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VS Code MCP Servers (2026): Best AI Extensions

In VS Code, MCP servers provide tools for tasks like file operations, databases, or external APIs. Servers can also provide resources, prompts, and interactive applications.

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Continue

Lemonade Server is a lightweight, open-source local LLM server that allows you to run and manage multiple AI applications on your local machine. It provides a simple CLI for managing applications

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NuGet Gallery | Microsoft.Extensions.AI 10.5.2

The Microsoft.Extensions.AI libraries provide a unified approach for representing generative AI components, and enable seamless integration and interoperability with various AI services.

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