AI-Gateway and openai-mcp-agent-dotnet

AI-Gateway
68
Established
openai-mcp-agent-dotnet
47
Emerging
Maintenance 17/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 6/25
Adoption 7/25
Maturity 15/25
Community 19/25
Stars: 883
Forks: 397
Downloads: —
Commits (30d): 13
Language: Jupyter Notebook
License: MIT
Stars: 29
Forks: 17
Downloads: —
Commits (30d): 0
Language: JavaScript
License: MIT
No Package No Dependents
No Package No Dependents

About AI-Gateway

Azure-Samples/AI-Gateway

Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀

This project provides hands-on labs to help you build and manage secure, reliable, and cost-effective AI applications. It shows you how to control access to different AI models, tools, and intelligent agents through a central gateway, ensuring enterprise-grade security, performance, and cost management. This is for AI solution architects, machine learning engineers, and platform engineers who need to deploy and oversee AI services in a production environment.

AI-application-management MLOps API-management AI-governance enterprise-AI-deployment

About openai-mcp-agent-dotnet

Azure-Samples/openai-mcp-agent-dotnet

Sample to create an AI Agent using OpenAI models with any MCP server running on Azure Container Apps

This project helps developers build and deploy AI agent applications that interact with an MCP (Multi-Agent Communication Protocol) server using Azure OpenAI models. It provides a .NET-based client application that takes natural language prompts as input and processes them through an AI agent. The output is a response generated by the AI model, allowing the agent to perform tasks like managing to-do lists.

AI-development Azure-deployment agent-architecture language-models cloud-native-apps

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