Mar 19, 2025 · Tools and Function Calling lock users into specific client implementations, while MCP frees them to use familiar interfaces for new tasks. As AI becomes increasingly integrated into our...

Oct 16, 2025 · Tool Calling was a massive first step. The idea is simple: you write a function, like getUserData(id), and tell your LLM about it. When you ask the LLM for user data, it’s smart enough …

Apr 22, 2025 · In this article, we break down how MCP stacks up against function calling, plugins, direct APIs, and agent frameworks. We’ll also explore real-world use cases for MCP and where this …

Oct 8, 2025 · MCP: Enforce host policy (allowed servers, user consent), per-tool scopes, and ephemeral credentials. Platform adoption (e.g., Windows) emphasizes registry control and consent prompts. …

Mar 14, 2025 · While Function Calling focuses on converting natural language into action-ready commands, MCP ensures those commands are executed efficiently and consistently. Let’s break …

Dec 10, 2024 · Function-calling is responsible for converting natural language prompts into structured function call instructions that tool-oriented systems, such as an MCP server, can understand and act …

Apr 25, 2025 · Right now, three major approaches are competing to define the future of AI agent architecture: MCP (Model Context Protocol): Anthropic’s attempt to create a standard toolkit interface …

While function-calling excels at structured tasks, the Model Context Protocol (MCP) takes a different approach. MCP is a layered technique that organizes context and prompts in a way that allows for …

Mar 12, 2025 · In summary, function calling allows developers to register available functions with an LLM, but everything beyond that—function discovery, implementation, and execution flow—is entirely …

Function calling has been around for a while, while MCP is a newer standardization attempt. Comparing the two approaches showcases the value of MCP and how it builds on top of function calling. This …