This article details how to build an AI agent using Azure's native tools, specifically Logic Apps, Azure Functions, and API Management. It explains that Logic Apps can host workflows as tools, Azure Functions can host code logic as tools via an MCP tool trigger, and API Management can expose REST APIs as tools or act as a gateway for other Azure services. The author notes that while the build is documentation-only for now, Azure offers flexible hosting and security options for these AI agent components. AI
IMPACT Enables developers to leverage existing Azure infrastructure for building and deploying AI agent tools.
RANK_REASON Article describes the integration of existing Azure services to function as tools for an AI agent, rather than a new AI model release or core research.
- API Management
- App Service Environment v3
- Azure
- Azure API Center
- Azure Functions
- Boomi
- Foundry Agent Service
- Logic Apps
- Logic Apps (Standard)
- Microsoft
- Microsoft Entra
- Microsoft Learn
- MuleSoft
- OAuth 2
- SAP
- Workflow Service Plan
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