Integrating AI’s Future: Anthropic's MCP and Integration App

Over the last few months, we’ve seen that the biggest barrier to realizing AI’s potential often isn’t the model itself—it’s how you integrate that model with your existing stack.

Connecting AI models to the tools and systems businesses rely on can feel like solving the same problem over and over again. It’s frustrating, time-consuming, and it limits what these models can achieve. That’s why Anthropic’s Model Context Protocol (MCP) caught our attention.

What is MCP by Anthropic?

MCP is an open protocol that creates a consistent framework for AI models to interact securely with both local and remote resources.

It eliminates the need for scattered APIs or custom scripts by streamlining tasks like accessing files, connecting to databases, or integrating with external APIs. MCP is built to be scalable, reliable, and—most importantly—efficient, paving the way for AI models to leverage diverse resources in a unified manner.

What is an MCP Server?

An MCP server is a specialized server that implements the Model Context Protocol. It serves as a bridge between AI models and the vast ecosystem of tools and data sources available to businesses.

In simple terms, the MCP server translates requests from AI models into standardized actions—such as accessing files, querying databases, or triggering API calls—ensuring that integrations are secure, consistent, and efficient.

By doing so, it removes the traditional challenges of custom integration work, enabling developers to connect AI models to numerous systems without reinventing the wheel each time.

The Integration App MCP Server

Integration App is built on the same open technologies as MCP so they are fully compatible.

We made a simple MCP server that gives LLM access to the full power of our whole database of universal connectors and integrations you build on top.

As a result, LLMs can connect to tens of of thousands of tools across hundreds of apps and to hundreds of sources of knowledge in a consistent way

For developers, this means building and testing MCP servers is no longer a challenge.

Whether it’s linking to a single database or managing integrations across multiple apps, Integration App transforms what was once a bottleneck into a straightforward process.

How It Works

• Unified Access to Resources: The MCP server acts as a gateway, allowing LLMs to connect to tens of thousands of tools across hundreds of apps and numerous sources of knowledge—all in a consistent way. For developers, this means that whether you’re linking to a single database or managing integrations across multiple applications, the complexities of integration become a streamlined process.

• Simplifying Development: Traditional approaches often require custom scripts or scattered APIs to connect AI models with your existing stack. With our MCP server, these challenges disappear. Developers can build and test MCP integrations with ease, reducing what was once a significant bottleneck into a straightforward workflow. Check out our documentation on model context protocol usage and using tools for more details.

• Proven and Trusted: Our server is recognized as part of Anthropic’s official third-party integrations, as seen on the Anthropic MCP integrations page.

Companies like Clay, Apollo, and others have already started building on top of Anthropic’s MCP, harnessing the power of this new paradigm to expand their AI’s capabilities.

Why This Matters

Integrating AI into existing systems should not be a perpetual struggle. With Anthropic’s MCP and our MCP server, you have the tools to bridge the gap between advanced AI models and the practical applications businesses rely on every day. This technology isn’t just a new way to connect; it’s a revolution in how we think about digital integrations. Quite exciting, no?

Anthropic’s Event in Paris: 3 Key Takeaways

Our Head of Growth, Horia had the opportunity to witness Anthropic’s builder event in Paris—a gathering that underscored the significance of AI Agents, future Anthropic models and how MCP plays out its potential impact on the future of digital integration shared by their co-founder & CEO, Dario Amodei.

Here are the three main takeaways:

• The TCP/IP of the AI world: Just as TCP/IP revolutionized how computers communicate, MCP is set to transform the way AI models interact with disparate systems, creating a universal language for integration.

• A Growing Community: The ecosystem around MCP is rapidly expanding. More developers, businesses, and innovators are joining forces to build upon this protocol, enhancing its robustness and versatility every day. The set of Github repos https://github.com/modelcontextprotocol/servers has already hit 8.6.k stars and 1k forks in relatively short amount of time & it's only set to expand from here.

• We’re All In: At Integration App, we’re proud to be part of this movement. Our commitment to open, scalable, and efficient integration solutions aligns perfectly with the ethos of MCP, and we’re excited to help lead the charge into this new era.

Conclusion

Realizing the full potential of AI means overcoming integration challenges.

By leveraging Anthropic’s Model Context Protocol and the Integration App MCP server, developers and businesses can simplify connections to hundreds of systems and unlock a unified, efficient approach to AI integration. If you’re considering using this transformative technology to connect your SaaS apps and internal tools, Integration App is ready to help you get there.

For more details on our MCP server, check out our GitHub repository and explore the comprehensive documentation available on our console and tools guide.