What is MCP? The key to AI agents succeeding in the real world
Hi everyone! I'm Jon, an AI and technology blogger. Recently, the term "MCP" has become a hot topic in the AI field. It stands for "Model Context Protocol," an open standard that allows AI agents (programs that autonomously perform tasks) to easily connect to databases, tools, applications, and more. Simply put, it acts as a bridge between AI and the real world. Since AI company Anthropic announced MCP on November 25, 2024, it has rapidly spread in 2025. Based on the InfoWorld article "How MCP is making AI agents actually do things in the real world," I'd like to explain, in an easy-to-understand manner even for beginners, how MCP enables AI agents to be used in the real world.
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The basic structure of MCP
MCP is a protocol, or rule set, that allows AI models (e.g., large-scale language models like ChatGPT) to communicate with external systems. While traditional AI has focused on conversations with users, MCP allows AI agents to obtain data and operate tools in real time. For example, imagine an AI checking your Google Calendar to schedule appointments, or retrieving information from a database to create reports. This technology was introduced on an Equinix blog on August 6, 2025, stating that it "enables AI agents to quickly connect in a distributed environment," accelerating automation in the enterprise.
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Latest MCP news and real-world applications
As we enter 2025, MCPs are evolving rapidly. On September 23rd, Dynatrace's blog featured the "Rise of Agentic AI," emphasizing communication between AI agents (A2A: Agent-to-Agent) and the role of MCPs. Additionally, an InfoWorld article (due around September 27th, 2025) provides a detailed explanation of how MCPs transform AI from "simple chatbots" into "actual agents." On X (formerly Twitter), examples of AI agents using MCPs are trending, with numerous posts detailing, for example, AI automating scheduling and purchasing.
Specific Real-World Applications
The strength of MCP is that AI agents can be integrated with a variety of tools. Here are some of the latest examples in 2025:
- Enterprise automation: According to an InfoQ article dated August 29, 2025, MCP modularizes AI agents and connects them to business tools (e.g., CRM systems and development environments), making it easier to automate workflows, allowing, for example, sales teams to use AI to analyze customer data in real time.
- Data Access: The Data Commons MCP Server, announced by Google on September 24, 2025, will enable AI agents to standardize access to public statistical data, helping them make decisions based on reliable real-world data. For example, this could be used to enable AI to predict climate change using environmental data.
- Creative fields: Examples of popular examples in X's posts include AI generating code from Figma designs to create functional web apps, and automatically printing 3D designs in Blender, all thanks to MCP's smooth integration between tools.
- Daily work: At the individual level, AI can simultaneously access Notion and Google Calendar for task management. A September 2025 Medium article discussed the use of MCP in companies as a "strategic layer beyond the experimental stage."
These examples are evidence that MCP is evolving AI from "simply talking" to "acting" as of 2025. However, security must be taken into consideration when implementing it. A September 23, 2025 article in CSO Online warned that while MCP makes it easier to connect data sources, it also poses risks if companies do not put in place appropriate guardrails.
Latest Trends in Security and Governance
As MCP becomes more widespread, security is a major topic. A September 2025 Adversa AI blog summarized MCP's threat model and defenses and introduced tools to protect real-time interactions between AI agents. A Medium article (September 2025) also proposed MCP tool governance guidelines for enterprises and recommended registry management for AI agents. These efforts are establishing best practices for securely using MCP.
The future of MCP and its impact on our lives
MCP will become even more widespread in the second half of 2025 as the foundation for fully utilizing AI agents in the real world. For example, applications in the medical and transportation sectors are expected, and a series of articles from Dynatrace predicts that it will revolutionize the automation of complex workflows. Trend X also suggests that we are approaching a future where AI autonomously handles tasks like "order fulfillment" and "schedule adjustment."
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To sum up, from Jon's perspective, MCP is a great technology that expands the possibilities of AI, but first let's understand the basics and use it safely. It's exciting to keep up with the ever-evolving world of AI. We'll continue to bring you the latest information in an easy-to-understand format!
Reference sources
- Anthropic official news (November 25, 2024): https://www.anthropic.com/news/model-context-protocol
- Equinix Blog (August 6, 2025): https://blog.equinix.com/blog/2025/08/06/what-is-the-model-context-protocol-mcp-how-will-it-enable-the-future-of-agentic-ai/
- InfoQ article (August 29, 2025): https://www.infoq.com/articles/mcp-connector-for-building-smarter-modular-ai-agents/
- Dynatrace Blog (September 23, 2025): https://www.dynatrace.com/news/blog/agentic-ai-how-mcp-and-ai-agents-drive-the-latest-automation-revolution/
- CSO Online article (September 23, 2025): https://www.csoonline.com/article/4015222/mcp-uses-and-risks.html
- Medium article (September 2025): https://medium.com/data-science-collective/agentic-ai-mcp-tools-governance-14c933386abe
- SiliconANGLE News (September 24, 2025): https://siliconangle.com/2025/09/24/google-debuts-data-commons-mcp-server-ground-ai-agents-trusted-data/
- InfoWorld article (circa September 2025): https://www.infoworld.com/article/4064169/how-mcp-is-making-ai-agents-actually-do-things-in-the-real-world.html
- Related posts from X (formerly Twitter) (April to September 2025): MCP cases and trends