foundry-agent-service-remote-mcp-python
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This document provides a comprehensive overview of a Model Context Protocol (MCP) server, detailing its features, tools, resources, and usage across different platforms.
The Model Context Protocol (MCP) server is a robust framework designed to facilitate seamless communication and integration between various AI models and applications. It leverages the power of Azure Functions to provide a scalable and secure environment for deploying custom MCP servers in the cloud. By utilizing the Azure AI Foundry Agent Service, the MCP server enables efficient management and execution of AI tasks, ensuring high performance and reliability. The server is designed with security in mind, offering options for OAuth authentication and network isolation through VNET. This makes it an ideal choice for organizations looking to deploy AI solutions in a secure and controlled manner. Additionally, the MCP server supports integration with API Management for enhanced security and policy enforcement, making it a versatile tool for modern AI deployments.
Features
- Scalable and Secure: Utilizes Azure Functions for scalable deployment and secure communication.
- Integration with Azure AI Foundry: Seamlessly connects with Azure AI Foundry Agent Service for efficient AI task management.
- OAuth and VNET Support: Offers built-in authentication and network isolation for enhanced security.
- API Management Integration: Supports integration with API Management for improved security and policy enforcement.
- Local and Remote Deployment: Allows for both local testing and remote deployment in the Azure cloud.
Tools
hello
A simple tool that returns a greeting message.
getsnippet
Retrieves a snippet by name from Azure Blob Storage.
savesnippet
Saves a snippet with a specified name to Azure Blob Storage.