The expectations of users of AI-based applications are rapidly changing. It is no longer sufficient for AI-based assistants to help users complete tasks within the assistant's own application. More and more, users expect AI assistants to understand their requests and take the required actions across different applications. This shift creates new opportunities for companies to make their applications available through intelligent platforms.
One of the technologies making this possible is MCP (Model Context Protocol). It defines how AI applications communicate with tools, services, and data outside their own environment. As AI assistants continue to advance, MCP-based integrations are becoming increasingly important for application connectivity.
Google is also taking similar steps. On October 28, 2026, Google launched its Connected Apps Platform, which provides developers with a unified way to connect their applications to Google Search and Gemini. The platform supports cloud-hosted MCP servers, as well as APIs for integrating Android applications through AppFunctions.
This development could significantly influence how companies build and deliver their digital services and applications.
What Is an MCP Server?
An MCP server is a software component that allows an application's defined tools and resources to be accessed by compatible AI applications through the Model Context Protocol.
MCP provides a standardized communication method. With MCP, developers do not need to create entirely separate integration methods for every AI platform. Instead, they can expose application capabilities through an MCP-compatible interface.
For example, an e-commerce application could use MCP to expose the following capabilities to an AI assistant:
- Check product availability.
- Retrieve order information.
- Check delivery status.
- Access authorized customer account information. MCP only standardizes the interface between an application and an AI platform. It does not replace the application's backend or AI model. Instead, it allows AI systems to interact with existing application services through a standardized interface.
How Google's Connected Apps Platform Uses MCP Servers
The Connected Apps Platform provides a unified approach for developers to make their applications available through Google products such as Search and Gemini.
Previously, supporting different AI experiences could require separate integration methods. With the new platform, Google aims to reduce the complexity of developing and managing these integrations.
According to Google's announcement, developers can build integrations using cloud-hosted MCP servers or Android AppFunctions APIs. They can then register and test their integrations through Google Connected Console before submitting them for publishing.
The platform also provides monitoring capabilities, including traffic, latency, and error rates.
This creates an opportunity for businesses to make their existing services accessible through AI-powered interfaces. Users do not always need to navigate through an entire application to complete a task.
How Does MCP Server Integration Work?
Understanding the basic workflow helps explain why MCP is becoming relevant to application development.
1. Exposing Application Functionality Through an MCP Server
Developers select the application features they want to make available to AI systems and expose them as tools through an MCP server.
For example, a travel application might provide features to search for flights, check booking status, and retrieve travel itineraries.
2. Connecting the AI Application to the MCP Server
An AI client connects to the MCP server through a supported transport mechanism to discover the capabilities and tools it provides.
This helps the AI application understand which operations it can request.
3. The User Defines an Intention
The user expresses their requirements through natural language.
Examples include:
- Show me my recent bookings."
- "What are the available flight options from Boston to Dallas?"
4. The MCP Server Processes the Request
The AI application identifies the appropriate tool for the user's request. The MCP server then interacts with the relevant application service to process the request and returns a structured response.
The AI application uses this information to generate a response for the user.
5. The AI Application Presents the Result
After receiving the response, the AI assistant can present the requested information and continue with another action supported by the application.
Applications should also implement appropriate authorization and confirmation mechanisms for sensitive operations.
What Is the Difference Between Cloud-Hosted MCP and Android MCP?
Regarding integration, Google's Connected Apps Platform provides two approaches that differ based on where application functionality is hosted and how users access the service.
Cloud-Hosted MCP Server
In this model, application tools are made available through a network endpoint hosted in the cloud.
This integration approach is useful for connecting applications with cloud-based backends and external systems.
For example, a shopping platform can use a cloud-hosted MCP server to provide compatible AI applications with access to product information and authorized order-related functions.
Android MCP and AppFunctions
Unlike cloud-hosted MCP, this approach uses AppFunctions APIs to expose supported application functionality through the Android framework to compatible agents and assistants.
This model is useful when application functionality needs to be accessed and executed through a compatible Android device.
Both approaches support AI application integrations, but they differ in their execution environments and implementation requirements.
MCP Integration in Different Business Scenarios
MCP integration can support different business requirements across various industries.
1. E-Commerce and Retail
In the retail and e-commerce sectors, functions such as product searches and order-related services can be exposed through MCP servers.
These integrations could help users find products based on their requirements, compare available options, and check delivery statuses without switching between multiple application screens.
2. Healthcare Applications
Healthcare applications could use controlled integrations to expose selected services through AI assistants. For example, users could retrieve appointment information or access administrative services through connected applications.
Strict access controls and user consent would be essential when handling sensitive medical information.
3. Travel and Hospitality
Travel and hospitality applications could expose services that allow users to retrieve itinerary information, access booking details, and receive travel-related updates.
This can make it easier for users to manage different aspects of their journeys through AI-assisted interactions.
4. Business and Productivity Applications
Business applications could expose selected services to help employees manage tasks, retrieve project information, and access authorized business records.
This can reduce repetitive activities and make everyday workflows more efficient.
Key Considerations When Building an MCP Server
MCP reduces the complexity of communicating with external services. However, building a reliable integration still requires thoughtful engineering.
1. Security and Authorization
Developers need to implement secure authentication and manage access permissions carefully. Google's Connected Apps integration requirements include OAuth 2.1 as part of the authorization framework.
2. Server Infrastructure
MCP servers require secure, supported, and reliable infrastructure. Google specifies that remote MCP integrations require a secure HTTPS endpoint and supported communication transport.
3. Tool Design
Tools should be clearly defined with meaningful descriptions and validated inputs. Poorly designed tools may result in incorrect requests or unexpected application behavior.
4. Performance and Scalability
Applications should process multiple requests efficiently, maintain reasonable response times, and scale according to increasing server workloads.
5. Testing and Monitoring
Tools should be regularly tested for reliable execution, authorization flows, and error handling. Monitoring latency and errors can also help developers identify operational issues.
These considerations should be addressed during application development rather than added later.
What Does MCP Mean for Businesses Planning Mobile Applications?
MCP presents businesses with an opportunity to make their mobile applications accessible through AI-assisted platforms.
However, MCP does not mean that every application should immediately incorporate an MCP server. To take advantage of this technology, businesses should first identify which application functions can be safely exposed to AI assistants.
When companies develop new digital products, they should also consider application architecture, integration requirements, and the appropriate level of security.
Businesses exploring these possibilities can evaluate the technical expertise and implementation capabilities of a mobile app development company in the USA.
An initial step could be to identify repetitive user activities, select the relevant application functions, and determine whether MCP integration would help users complete those activities more efficiently.
Conclusion
MCP server integrations are becoming an important part of the evolving AI application ecosystem. The main advantage of MCP is that it allows developers to make existing application functionality accessible through intelligent interactions.
Google is moving in the same direction by bringing MCP-based integrations and AppFunctions into its Search and Gemini experiences.
However, MCP is only one part of the solution. Depending on the application, architectural considerations, security, and authorization policies will continue to play an important role.
For businesses looking to maintain their competitive advantage in an AI-powered economy, exploring MCP-based integrations can be a valuable step toward making their digital applications more connected and accessible.
Top comments (0)