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As AI changes our lives, MCP is being highlighted as a core technology for that change.
Introduced by Anthropic, the MCP (Model Context Protocol) is emerging as a critical technology that provides a safe and flexible structure to connect AI with external data. This protocol goes beyond a simple interface standard and offers various application possibilities.
Although MCP is still in its early stages, its scalability and applicability have the potential to significantly impact the entire AI ecosystem. This article aims to forecast how MCP will evolve in the future and its key application areas.
MCP and AI Connection Technology Series
Key to Processing Long Documents and Massive Data
AI often struggles with handling massive documents or large amounts of data. However, MCP provides a solution to overcome these limitations.
For instance, AI can partially access thousands of pages of legal documents or hundreds of research papers for real-time analysis. It can select the most suitable information to provide answers to questions.
This technology opens up the potential for a true 'AI Research Assistant' in various fields such as legal advisory AI, academic research support AI, and financial report summarization AI. These advancements will positively impact multiple industries and contribute to increasing efficiency.
The Popularization of Domain-Specific AI Assistants
MCP significantly contributes to realizing custom AI assistants across various industries.
For example, in the healthcare sector, AI connects to electronic medical records (EMR) and medical databases to provide real-time diagnostic-related advice to physicians. In the finance sector, it comprehensively analyzes real-time rates, internal reports, and customer information to offer investment advice.
Moreover, AI serving as a business assistant can manage schedules and integrate with email and customer relationship management (CRM) systems to automate meeting preparations, schedule coordination, and report summarization.
This assistant functionality is similar to the Extensions feature of Google Bard, and thanks to MCP, it can be easily applied across various platforms. In the future, we expect the emergence of industry-specific MCP connector packs that will create an ecosystem allowing anyone to easily create their AI assistants.
AI Agents and Automated Workflows
The concepts of autonomous AI agents like Auto-GPT and BabyAGI are already known, but MCP is becoming the foundation for practically utilizing them.
For instance, when a single AI agent is interconnected with Jira, GitHub, test servers, and Slack through MCP, it can perform various tasks automatically. This makes it possible to collect bug reports, automatically amend related code, execute tests, and summarize these results for reporting on Slack.
Additionally, MCP can play a central role in 'agent orchestration,' where multiple AI agents collaborate to perform tasks. This will be an important element in driving a revolutionary change in work automation.
Enhancement of Standards and Growth of the Ecosystem
Technological standards become more powerful and useful as more users adopt them. MCP is also part of this trend.
Various improvements, including enhanced access control, the addition of audit logs, and support for streaming response capabilities, are anticipated, and there is the possibility of it being adopted as an official protocol by international standardization organizations such as W3C and ISO.
In the future, multimodal expandable MCP connectors, including image processing and IoT control, are expected to emerge.
As the MCP ecosystem becomes richer, the process of endowing AI with new features will become as simple as plugging in a USB device.
Paradigm Shift in AI Service Design
Conventional AI has primarily relied on "trained models." However, with the advancement of MCP, the "ability to connect with external entities" will emerge as the true competitive advantage.
For example, a chatbot for customer support that connects not only to the company's database but also to social media feeds, inventory management systems, and delivery APIs can provide much more intelligent services rather than just simplistic FAQs.
In the future, it is likely that companies will prioritize compatibility with MCP before adopting AI, similar to the past trend where businesses found it essential to build RESTful APIs.
Will MCP Become the Connecting Infrastructure of the AI Era?
In conclusion, MCP is more than just a tool. It serves as an important link connecting AI and the human world, revolutionizing information access methods and simplifying tool usage. Additionally, it is a key element in broadening the scope of automation and forming a new AI ecosystem.
The future of AI will not be limited to a single model. Through MCP, users will have access to the necessary context at any time, easily utilize tools, and possess the capability to understand and act in contexts like humans.
For AI, connectivity and context are extremely powerful forces, and MCP is establishing itself as the true standard for such connections. These changes will accelerate the advancement of AI and embed it more deeply into our lives.
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