MCPMarket
Sell SkillsPower Your AgentsConnect
  1. Home
  2. Servers
  3. OpenAI Agent

OpenAI Agent

Azure-SamplesbyAzure-Samples
•
28
•
API Development
Developer Tools
Cloud Infrastructure

Builds an AI Agent using OpenAI models with any Model Context Protocol (MCP) server running on Azure Container Apps.

Related MCPs

View more
  • neondatabase-labs

    Neon

    Enables natural language interaction with the Neon Management API and databases through the Model Context Protocol.

  • mendableai

    Firecrawl

    Empowers LLMs with advanced web scraping capabilities for content extraction, crawling, and search functionalities.

  • GLips

    Figma Context

    Provides AI coding agents with simplified Figma layout information via the Model Context Protocol.

Related Skills

View all
  • openclaw

    Diagram Maker & Visualizer

    Generates professional SVG, HTML, and Excalidraw diagrams for software architecture, system flows, and educational concepts.

  • openclaw

    GH Issues Auto-Fixer

    Automates the end-to-end GitHub issue lifecycle by spawning sub-agents to implement code fixes, open pull requests, and resolve review comments.

  • openclaw

    Discord Integration

    Manages Discord operations including messaging, reactions, and channel management directly through Claude.

MCPMarket

Discover MCP servers that connect MCP clients like Claude and Cursor to your favorite tools. Browse the MCP Market to get started.

Browse

  • MCP Search
  • MCP Servers
  • MCP Clients
  • Agent Skills
  • MCP Market Hub
  • Categories
  • What is an MCP server?
  • Model Context Protocol

Rankings

  • Top MCPs Today
  • Top Agent Skills Today
  • Top 100 Agent Skills
  • Top 100 MCP Servers

About

  • News
  • Submit
  • Contact

© 2026 MCP Market. All rights reserved.·Privacy·Terms

This .NET sample demonstrates the creation of an AI agent that leverages Azure OpenAI models and communicates with a remote MCP server, showcasing a complete client-server architecture. The client application, built with .NET Blazor, interacts with a TypeScript-based MCP server, both deployed on Azure Container Apps (ACA). Security is enforced through ACA's built-in authentication for the client, while the server is exclusively accessible by the client, ensuring a secure and isolated environment for AI agent interactions.

Key Features

01MCP client app is written in .NET Blazor.
02MCP server app is only accessible from the MCP client app.
03Connects to a to-do MCP server written in TypeScript.
04MCP client app is secured by the built-in auth of ACA.
05Both MCP client and server apps are running on Azure Container Apps (ACA).
0611 GitHub stars

Use Cases

01Creating a to-do list agent that uses natural language prompts
02Securing communication between AI agents and MCP servers
03Deploying AI agents on Azure Container Apps