Architecture

Model Context Protocol (MCP)

MCP is an open protocol that standardizes how AI models connect to external tools and data sources, enabling plug-and-play integration between AI agents and business systems.

What Is Model Context Protocol?

Model Context Protocol (MCP) is an open standard developed by Anthropic that provides a universal interface for connecting AI models to external tools, data sources, and APIs. Think of it as a USB-C port for AI: instead of building custom integrations for every tool, MCP provides a single standard that any AI model can use to interact with any MCP-compatible system.

Why Does MCP Matter for Business AI?

MCP dramatically reduces the cost and complexity of AI integration. Instead of building custom connectors for every business system, you deploy MCP servers that expose your tools — and any MCP-compatible AI agent can immediately use them. This enables multi-agent systems where agents share tools and data seamlessly. AffixedAI uses MCP extensively in its deployments to ensure interoperability and future-proofing.

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Related Terms

Function Calling

Function calling enables AI models to invoke external tools and APIs — reading databases, sending emails, updating CRMs — transforming language models from text generators into action-taking agents.

AI Orchestration

AI orchestration is the coordination layer that manages multiple AI models, agents, and tools — routing tasks, managing state, handling failures, and ensuring coherent system-wide behavior.

Agentic AI

Agentic AI refers to autonomous AI systems that can plan, execute, and learn from multi-step tasks without human intervention at each step — managing complete business workflows independently.

AI Gateway

An AI gateway is a centralized entry point that manages all AI model traffic for an organization — providing unified authentication, rate limiting, cost tracking, and model routing.

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