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Packages by microsoft

microsoft13 packages164,023 total stars
C#C++Jupyter NotebookPythonTypeScriptAI AgentsDatabasesFrameworksMCP ServersSecurityUncategorized
13 results found
autogen📁python-v0.7.5💤 Dormant56,830

A programming framework for agentic AI

playwright-mcp📁v0.0.70🌱 Seedling30,643

Playwright MCP server

semantic-kernel📁python-1.41.2🌱 Seedling27,684

Integrate cutting-edge LLM technology quickly and easily into your apps

onnxruntime📁v1.25.0🌿 Growing19,832

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

mcp-for-beginners📁main@2026-04-17🌿 Growing15,848

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for

agent-framework📁python-1.1.0🌳 Mature9,325

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

azure-devops-mcp📁v2.6.0🌿 Growing1,538

The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.

The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Az

mcp-dotnet-samples📁main@2026-04-20🌿 Growing169

A comprehensive set of samples of creating and using MCP servers and clients with .NET

simplechat📁v0.241.006🌿 Growing128

Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, and extend with modular features

fabric-rti-mcp📁0.5.3🌿 Growing107

MCP server for Fabric Real-Time Intelligence (https://aka.ms/fabricrti) supporting tools for Eventhouse (https://aka.ms/eventhouse), Azure Data Explorer (https://aka.ms/adx, and other RTI services (co

PromptKit📁v0.6.1🌱 Seedling34

Agentic prompts are the most important code you're not engineering. PromptKit fixes that — composable, version-controlled prompt components (personas, protocols, formats, templates) that snap together