Exposes Azure AI Foundry agents, workflows, and Azure AI Search capabilities as Model Context Protocol (MCP) tools.
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This tool serves as a Model Context Protocol (MCP) server, designed to seamlessly integrate Azure AI Foundry agents, workflows, and Azure AI Search vector-database functionalities into a unified interface. It empowers AI applications and large language models by exposing these powerful Azure AI capabilities as callable MCP tools, supporting both local `stdio` and HTTP transports for deployment to services like Azure Container Apps. It provides a structured way to interact with and manage intelligent agents and rich data sources within the Azure AI ecosystem.
주요 기능
01Automated provisioning and deployment to Azure Container Apps using Azure Developer CLI (azd).
02Provides 10 distinct tools categorized into `agents`, `search`, `index`, and `workflows` namespaces.
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04Exposes Azure AI Foundry agents and workflows as callable MCP tools.
05Supports flexible deployment with `stdio` (local) and HTTP (Azure Container Apps) transports.
06Integrates Azure AI Search for semantic vector search and document ingestion.
사용 사례
01Integrating Azure AI Foundry agents and custom workflows into AI applications or LLM clients like VS Code Copilot or Claude Desktop.
02Performing semantic searches and managing content ingestion for project logs and other documents using Azure AI Search vector capabilities.
03Automating the deployment and management of AI agent services and vector databases on Azure Container Apps for scalable AI solutions.
