Table of Contents
- Improved Response Quality and Reflection of Latest Information
- Continuous Interaction and Context Maintenance
- Enhancing Efficiency in Integrated Development
- Securing Open Ecosystem and Versatility
- Strengthening Security and Privacy Protection
- Active Task Execution Capability of AI
- The Key to a More Useful and Smart AI, MCP
As the development of large language models (LLM) accelerates, the recognition that 'integration with data' is important for effectively utilizing AI is spreading.
In response to this need, a new MCP (Model Context Protocol) has emerged, establishing itself as an innovative protocol that standardizes the connection between AI and external systems.
In this article, we will examine the positive changes and advantages brought about by the introduction of MCP, and explore why this technology is receiving much attention.
MCP and AI Connection Technology Series
Improved Response Quality and Reflection of Latest Information
Previously, AI relied on past information or limited web searches, limiting its ability to handle contextual information, such as real-time data or internal documents. However, with MCP, AI now has the potential to access the latest information in actual environments beyond silos.
For example, if an AI assistant like Claude utilizes MCP to check the latest internal documents or API responses before providing answers to users, it can offer much more accurate and realistic information while minimizing hallucination phenomena. Such changes are anticipated to significantly improve AI functionality, according to Microsoft.
This advancement will expand the utilization of AI and provide more reliable outcomes.
Continuous Interaction and Context Maintenance
MCP plays a role that goes beyond simply collecting information. Unlike the existing one-time API call method, MCP allows for multiple interactions between AI and external tools in a conversational manner.
Thanks to this approach, when AI lacks information during task execution, it can supplement it through additional questions and continue working to the next steps based on intermediate results.
This persistent context maintenance environment provides significant advantages in handling complex queries or multi-step tasks.
Enhancing Efficiency in Integrated Development
MCP has established itself as a useful tool for maximizing developer productivity. In the past, integrating new data sources required modifying AI models or developing separate plugins. However, with just one MCP server set up, clients can automatically recognize and utilize it.
As of 2025, the number of publicly available MCP servers in the community exceeds 1,000, offering a "plug and play" method for easily adding the necessary features. This approach not only reduces development time but also provides excellent advantages in maintenance and scalability.
As a result, MCP is establishing itself as a powerful tool that helps developers perform their tasks more efficiently.
Securing Open Ecosystem and Versatility
MCP is provided as an open standard that does not rely on a specific company. This allows not only Claude but also OpenAI's GPT-4 and open-source LLMs to freely implement MCP.
Thanks to the model's independence and openness, MCP is establishing itself as a new standard for AI integration. The possibility of being widely utilized like USB or HTTP is being raised, which will contribute to building an ecosystem that benefits a variety of users in the long term. This trend is expected to positively impact the future technological advancement.
Strengthening Security and Privacy Protection
MCP shows considerable advancement in security design. By integrating standard authentication procedures like OAuth at the protocol level, it achieves secure connections without directly exposing API keys to AI.
Additionally, by setting up MCP servers within a company's internal infrastructure, AI can utilize data in local environments, significantly reducing the risk of sensitive information being exposed externally. This characteristic serves as a crucial advantage in a company's security environment.
Active Task Execution Capability of AI
The most noticeable change is that AI can actually perform 'actions'. With MCP, practical tasks such as document modifications or sending emails to external systems become possible.
For example, a developer-specific AI can use MCP to commit to Git or automatically execute CI/CD tools. This signifies an important advancement in AI becoming a true work partner rather than just a respondent.
Such changes are expected to greatly expand the scope of AI use and contribute to increasing efficiency in practical work.
The Key to a More Useful and Smart AI, MCP
As previously explained, MCP is establishing itself as an innovative tool that simultaneously enhances AI's context understanding abilities and practicality. It provides ease of integration and a standardized ecosystem for developers, while offering a more sophisticated and useful AI experience for users.
The future envisioned by Anthropic through MCP is clear. It will serve as a "bridge connecting AI and applications in the real world." Through this bridge, we can expect to achieve greater creativity and efficiency with less effort.
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