Glossary · 1 minute read
What Is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open standard for connecting AI models to external tools, data sources, and systems in a consistent way. Instead of building a custom integration for every tool, developers can expose capabilities through MCP servers that any MCP-compatible AI application can use. This standardization reduces integration effort, improves reusability, and makes it easier to build AI agents that safely access your data and act on your systems. MCP matters because integration is where most AI value—and cost—lives.
MCP is an open standard for connecting AI to your tools and data. Here's what it is, why a standard matters, and how it simplifies building integrated AI.
What MCP is
The Model Context Protocol (MCP) is an open standard for connecting AI models to external tools, data sources, and systems in a consistent way—so you don't build a custom integration for every tool.
How it works
Developers expose capabilities through MCP servers that any MCP-compatible AI application can use. The AI connects to the server through a standard interface, rather than bespoke glue code per tool.
Why a standard matters
| Without a standard | With MCP |
|---|---|
| Custom integration per tool | One consistent interface |
| Hard to reuse | Reusable servers |
| More maintenance | Less integration effort |
Because integration is where most AI value and cost live, a standard that reduces integration effort is significant.
MCP and function calling
Function calling is how a model requests a tool be run; MCP standardizes how those tools and data are exposed and connected. Together they make it easier to build AI agents that safely access data and act.
Do it securely
Standard connectivity still needs security—least-privilege access, guardrails, and oversight—see AI agent security risks and securing AI systems.
Why FISTA
FISTA Solutions builds integrated AI—connecting models to your tools and data reliably and securely, using modern standards—through AI enablement and integration services, backed by a verified 99.9% uptime record.
Connecting AI to your systems? Talk to FISTA.
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01What is the Model Context Protocol?
An open standard for connecting AI models to external tools, data sources, and systems in a consistent way. Developers expose capabilities through MCP servers that any MCP-compatible AI application can use, instead of building custom integrations each time.
02Why does MCP matter?
Because integration is where most AI value and cost live. A standard interface reduces the effort to connect AI to your tools and data, improves reusability, and makes building integrated, action-taking AI faster and more maintainable.
03How is MCP related to function calling?
Function calling is how a model requests a tool be run; MCP standardizes how those tools and data sources are exposed and connected. MCP provides a consistent way to make many tools available to AI applications.
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