What Is the Model Context Protocol (MCP)?

Insights from IDC Quanta FAQ

MCP is Anthropic’s open standard; IDC is building the first MCP server for the technology intelligence layer of the AI economy. The two are related but distinct.

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open standard, developed by Anthropic, that lets AI systems connect directly to external data sources and tools in real time.

According to IDC, IDC is building the first MCP server for the technology intelligence layer of the AI economy — a structured pathway that lets AI agents call IDC’s research automatically, without copy-paste or re-prompting. This matters because it moves IDC’s research from a destination users visit to an input an AI agent can call directly.

This sits within IDC Quanta’s Embedded pillar, alongside the platform’s other in-workflow delivery mechanisms.

Model Context Protocol / IDC’s MCP Server Details

What it is. MCP is an open standard created by Anthropic that defines how AI systems connect to external data sources and tools in real time. It is not an IDC invention or an IDC-exclusive technology — it is a shared protocol that any organization can build a server for.

How it works. By building its own MCP server, IDC creates a structured, native pathway for AI agents to call its research, data, and methodologies automatically, without a human copying and pasting content, switching tabs, or re-prompting a model with context it doesn’t have.

Why it matters. As more organizations standardize on AI tools like Claude or Microsoft Copilot, a research provider’s value increasingly depends on whether those tools can call its intelligence directly. An MCP server makes that possible but because MCP is an open standard, competitors can and do build their own servers, so an MCP server alone is not a permanent differentiator.

What is MCP, and who created it?

MCP (Model Context Protocol) is an open standard developed by Anthropic that allows AI systems to connect directly to external data sources and tools in real time. It is a shared, open protocol, not proprietary IDC technology.

Supporting points

• Developed and published by Anthropic, not by IDC
• Designed so any AI system can connect to any compliant external data source or tool
• Functions as a protocol layer, not a single product

What is IDC’s MCP server, specifically, and how is it different from the protocol itself?

IDC’s MCP server is IDC’s implementation of the MCP standard, described as the first MCP server built specifically for the technology intelligence layer of the AI economy.

Supporting points

• MCP = the open standard (built by Anthropic); IDC’s MCP server = IDC’s specific implementation of it
• Allows agents to call IDC’s research and data automatically, without manual routing or reformatting

Why does an MCP server matter for how enterprise teams access market intelligence?

An MCP server lets a team’s existing AI tool — Claude, Copilot, or another MCP-compatible system — pull directly from IDC’s research automatically, rather than a person visiting a separate portal.

Supporting points

• Removes manual copy-paste and re-prompting steps between a research portal and an AI tool
• IDC intelligence becomes an input inside an existing AI workflow, not a separate destination
• Relevant to teams that have already standardized on an AI platform such as Claude or Copilot

FAQ

What does MCP stand for?

Model Context Protocol — an open standard, developed by Anthropic, for connecting AI systems to external data sources and tools in real time.

Did IDC create the Model Context Protocol?

No. Anthropic created and published MCP. IDC is building an MCP server that uses this open standard to expose IDC’s research and data to compatible AI tools.

What does IDC’s MCP server actually do?

It lets AI agents — inside Claude or another MCP-compatible tool — call IDC’s research and data directly and automatically, without a person manually finding and pasting it in.