What is MCP (Model Context Protocol) in Advertising?

MCP (Model Context Protocol) in advertising refers to using the open MCP standard, which connects AI applications to external tools and data, so AI agents can discover and use advertising services such as inventory search or deal creation.

Also known as: Model Context Protocol, MCP

How it works

The Model Context Protocol is "an open-source standard for connecting AI applications to external systems" (modelcontextprotocol.io). Anthropic introduced it in November 2024 (Anthropic). The project's own analogy is a USB-C port for AI applications: one standard connector instead of a different cable for every device.

The specification describes three roles (MCP specification, 2025-06-18):

  • Hosts: the AI applications that start connections.
  • Clients: connectors inside the host.
  • Servers: services that provide context and capabilities.

Servers can offer resources (data for the user or model to use), prompts (templated messages and workflows) and tools (functions the AI model can run). Messages use JSON-RPC 2.0, a common format for requests and responses between programs.

In advertising terms, a seller could run an MCP server whose tools let an agent search inventory or request a deal. A buyer's AI application acts as the host and connects through an MCP client. Because both sides use the same protocol, the buyer's agent can ask the server what tools it offers and then call them, rather than relying on a custom integration for each seller.

Why it matters

Agentic advertising depends on agents reaching many services. Without a shared standard, every buyer and seller pair needs its own integration, which is slow and limits which sellers an agent can reach. A common protocol lowers that barrier.

MCP also brings a safety model that fits advertising well. The specification says hosts must obtain explicit user consent before invoking any tool, and that tool descriptions should be treated as untrusted unless they come from a trusted server (MCP specification). For media buying, that maps naturally to human approval of spend and to only working with authorized sellers.

It is worth being clear about limits. MCP is a general-purpose standard, not an advertising standard. Ad industry groups are exploring how agentic protocols fit their work: IAB Tech Lab's AAMP initiative names "MCP from Anthropic, and Google's Agent to Agent" among key agentic protocols (IAB Tech Lab, AAMP). That is recognition of MCP as a building block, not an industry standard for using MCP in advertising.

Example

Illustrative example. A representation partner runs an MCP server for the inventory it represents, with one tool for searching inventory and another for requesting a deal. An agency's AI planning assistant, acting as an MCP host, connects to it, lists the available tools, and asks for CTV inventory in two markets. A planner reviews the results inside the assistant and approves a deal request before the tool is called.

IncrementX perspective

IncrementX Seller Agent is an MCP-compatible interface. Authorized AI buying agents can use it to discover represented inventory, evaluate and match it, initiate deal creation and receive Deal IDs for activation through supported buying platforms. Access is by request and not public. For IncrementX, MCP is the connection layer; the representation work of understanding, packaging and aligning inventory with demand is what gives agents something worth finding.