What is an MCP server?

An MCP server is a program or service that exposes tools and contextual information to AI applications through the Model Context Protocol (MCP). MCP is an open standard that defines how AI applications communicate with external systems.

An MCP server connects an AI application to a specific data source or functionality. For example, a server might let an AI assistant search documents, retrieve information from a business platform, or invoke an available tool. The server determines which capabilities it exposes, while authentication and authorization settings help control access.

In marketing, MCP servers can connect AI assistants to email platforms, content repositories, analytics tools, customer relationship management (CRM) systems, and other business applications. This allows assistants to work with information stored in those systems instead of relying only on information provided manually in a conversation.

Definition of MCP server in marketing

An MCP server in marketing is a program or service that exposes marketing-related data and tools to AI applications through the Model Context Protocol.

An MCP server is neither an AI assistant nor the marketing platform itself. It provides an interface through which an AI application can access a connected system's capabilities. For example, a server connected to an email platform might let an assistant search for existing templates, read email content, or export a template as HTML.

The capabilities depend on the server's implementation. One server might provide read-only access to content, while another might expose tools that can change information or perform actions. The protocol itself does not determine which operations are available.

MCP servers can also connect AI applications to different systems within the same workflow. For example, one integration might provide access to email templates, while another exposes campaign metrics from an analytics platform. Whether an assistant can use both depends on the available integrations and the permissions granted.

How is an MCP server used in marketing

MCP servers can give AI assistants access to the information and tools needed for marketing tasks. Common applications include:

1. Finding existing content. A server connected to a content repository can let an assistant search previous campaigns, email templates, brand documents, or product materials. Marketers can use the results to find relevant assets before creating new ones.
2. Supporting email production. An MCP server connected to an email design platform can expose available templates, modules, and email content. Depending on the integration, it may also support operations such as exporting email HTML.
3. Retrieving campaign data. A server connected to an analytics platform can expose campaign metrics that an assistant can summarize or compare. The server must provide access to the relevant data for the assistant to perform these tasks.
4. Accessing brand documentation. An MCP server can make approved messaging, product documentation, and tone-of-voice guidelines available to an AI assistant. The assistant can use this context when helping marketers prepare campaign content.
5. Connecting marketing workflows. If the relevant servers expose the necessary tools, an assistant may retrieve information from one system and use it in another. For example, it could use campaign details from a project management tool alongside content from an email platform. The ability to update records or trigger actions depends on the connected tools and permissions.

MCP servers provide access to the information and operations exposed by connected systems. They do not automatically guarantee accurate AI outputs or eliminate the need to review results.

Examples of MCP servers in marketing

1. Searching an email template library. An email marketing team connects an AI assistant to Stripo through MCP. The assistant searches accessible projects for a welcome email, reactivation campaign, or other existing asset and returns matching content for the team to review.
2. Finding reusable email modules. A marketer needs a saved footer or product section for a new campaign. The connected assistant searches Stripo's available modules and helps locate a suitable match, reducing the need to browse the library manually.
3. Reviewing existing email content. A team wants to check how it presented a product in a previous campaign. An assistant connected to Stripo can retrieve accessible email content so the marketer can review the original messaging before reusing it.
4. Preparing an email for development. An assistant connected to an email platform with HTML export functionality can retrieve the selected template's HTML. A developer can then review the exported code and prepare it for the next stage of the email production workflow.
5. Retrieving campaign performance data. A marketing team connects an AI assistant to an analytics platform through an MCP server that exposes campaign metrics. The assistant retrieves the available information and summarizes the results for the team.
6. Looking up approved product information. A company connects an assistant to a product documentation repository through MCP. The assistant retrieves relevant feature descriptions and approved messaging that marketers can use when preparing campaign copy.

In each case, the MCP server provides access to a particular system or its capabilities. The AI assistant interprets the request and uses the available information to help the marketer complete the task.

Wrapping up

An MCP server is a program or service that exposes tools and contextual information to AI applications through the Model Context Protocol.

In marketing, MCP servers can connect AI assistants to email platforms, content libraries, analytics tools, and other business systems. Their capabilities depend on the connected system, the tools exposed by the server, and the permissions granted.

For email marketing teams, an MCP server such as Stripo's can help make existing emails, templates, and modules easier to find and work with. More broadly, MCP provides a standardized way for AI applications to interact with business tools while allowing organizations to manage access to their systems and information.