The Future of SaaS: Building Apps for AI Agents via MCP
Lovable, an AI app generation platform, is expanding its focus from building human-centric web applications to developing MCP-powered "capabilities" that AI agents can directly interact with. In an interview, CTO Fabian Hedin explains how the company is leveraging the Model Context Protocol (MCP) to drive this transition. This shift signals a broader trend in software architecture where SaaS applications are designed not just for human user interfaces, but as APIs and tools optimized for autonomous AI agents. By adopting MCP, developers can build interoperable services that various AI models can seamlessly discover and utilize. The transition focuses on exposing application functionalities as standardized MCP tools, allowing LLMs to read files, execute functions, and access context without custom integrations. This approach aims to solve the integration bottleneck between disparate AI systems and traditional SaaS databases.
## BACKGROUND
The Model Context Protocol (MCP) is an open-source standard introduced by Anthropic in November 2024 to unify how large language models connect to external data sources and tools. Before MCP, developers had to write custom integration code for every combination of AI model and data source, leading to fragmentation. MCP provides a standardized interface that has since been adopted by major AI providers like OpenAI and Google DeepMind.