4 posts about tool integration by 4 contributors.
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AI agents become useful when they can do more than generate text. A production agent often needs to retrieve information, call business APIs, access databases, work with documents, or invoke specialized tools. This creates an architecture problem: how should an AI model connect to those capabilities
Learn to build an MCP server with ASP.NET Core, expose enterprise tools for AI agents, and apply dependency injection, logging, security, and scalable design practices.
Discover MCP Servers for secure AI agent tool integrations. Standardize, simplify, and enhance security for dynamic external system access.
Discover MCP (Model Context Protocol), the emerging standard for AI tool integration. Learn how it enables secure, scalable, and standardized AI agent workflows.
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