Table of Contents
- Explosive Reaction from the Developer Community
- Dramatic Increase in Open Source MCP Servers
- Corporate Case Studies: Leading Utilization by Block, Apollo, and Others
- Expansion of Integration with Developer Tools
- Participation of Big Tech Companies like OpenAI and Microsoft
- MCP Established as a Community Trend
- Now "Consider MCP Before Implementing AI"
The MCP (Model Context Protocol) announced in November 2024 initially did not receive much attention, but by 2025, it has attracted tremendous interest among the AI industry and developers.
The MCP is poised to become a new standard that connects AI with external environments beyond simple functionalities, and its adoption and practical application are progressing much faster than expected.
This article will deeply analyze why this technology is attracting such attention through recent industry trends and various corporate implementation cases of MCP.
MCP and AI Connection Technology Series
Explosive Reaction from the Developer Community
At the end of 2024, when the MCP was first unveiled to the world, a somewhat calm atmosphere prevailed. However, from the beginning of 2025, the situation began to change rapidly. Interest in MCP surged within the open-source community, especially centered around Hugging Face, making it the most prominent technology, surpassing LangChain.
An official connection between the Claude desktop application and MCP servers is supported by Anthropic. The Claude for Work plan for enterprise customers includes the ability to trial an in-house MCP server. Moreover, Claude 3.5 Sonnet model's outstanding performance in MCP server code generation is emphasized, encouraging developers to easily create new connectors using Claude.
This change further highlights the technical potential of MCP and raises expectations for its future development.
Dramatic Increase in Open Source MCP Servers
Anthropic has released installation scripts for MCP servers for major systems such as Google Drive, Slack, GitHub, and Postgres DB on GitHub. These open-source examples can be installed with just a few lines of command, and by early 2025, the number of MCP servers exceeded 1,000.
These MCP servers are being utilized in a variety of tools, from enterprise applications like Salesforce, Jira to everyday tools like Gmail and Spotify. There is a saying that "if an LLM needs something, someone has already created a connector," highlighting how these systems meet diverse demands.
This situation shows the rapid increase in the utilization of MCP servers, raising expectations for future developments. Such technologies are likely to become essential elements across more fields.
Corporate Case Studies: Leading Utilization by Block, Apollo, and Others
Real-world corporate applications of MCP are gradually increasing. Shortly after the announcement, companies such as Block (formerly Square) and Apollo integrated MCP into their systems to implement pilot projects where AI chatbots could search internal data or build work automation agents.
The CTO of Block described MCP as “a bridge connecting AI with the real world, and an open technology that enables transparent and collaborative innovation.” He also stated that they are utilizing MCP to develop AI systems that reduce repetitive tasks, allowing employees to focus more on creative work. This trend is expected to continue in the future.
Expansion of Integration with Developer Tools
Platforms such as Zed, Replit, Codeium, and Sourcegraph are adopting MCP to enhance the performance of AI-based coding assistants.
This change allows AI to quickly reference previous code histories or library documents, providing users with more precise suggestions.
As a result, the number of attempts to correct code has decreased, showing positive outcomes that are genuinely helping developers. The advancement of AI is bringing significant changes to coding and understanding.
Participation of Big Tech Companies like OpenAI and Microsoft
OpenAI has officially started supporting MCP in its agent SDK. Microsoft has released integration guides and cases related to MCP in its Azure OpenAI service. Here, examples of MCP-compatible AI like Claude being utilized in real-time within Bing searches or SharePoint documents in the Azure environment are introduced. AWS is also reportedly preparing tutorials related to this.
These trends suggest that MCP is not bound to specific companies and is establishing itself as an open ecosystem technology that is becoming an industry standard. The reason for the expected development of MCP lies in its compatibility and practicality across various platforms, which increases the likelihood of more companies adopting it.
MCP Established as a Community Trend
MCP is establishing itself as an important trend in the AI developer community beyond the technical realm. Hugging Face mentioned through its technical blog that "MCP is an innovative element drawing the attention of major AI companies and communities," and tutorial videos, memes, and practice materials related to it are rapidly spreading online.
High interest in MCP is also felt at developer events. Anthropic has conducted MCP workshops and demo sessions at various events since the end of 2024, with demonstrations by key engineers like Mahesh Murthy receiving particularly positive feedback.
On social media platforms like LinkedIn, expectations for MCP have spread widely, with opinions like "ChatGPT should have focused on MCP instead of plugins." In this way, MCP presents new possibilities to many and its future developments are drawing attention.
Now "Consider MCP Before Implementing AI"
Within less than six months since its announcement, MCP has established itself as a core technology in the AI application ecosystem. The developer community is actively building and sharing MCP servers, and various industries are rapidly spreading pilot projects and work automation cases utilizing MCP.
If this trend continues, there is a high likelihood that businesses will adopt the recognition that “to implement AI, they must first consider integration with MCP.” Currently, MCP is already becoming an important key to strengthening the practical usability and connectivity of AI.
This change is expected to significantly impact the competitiveness of companies in the future. Interest in effective ways to apply AI technology through MCP will likely increase.
#MCP, #AIIntegrationStandard, #ClaudeMCP, #AIConnector, #MCPImplementationCases, #Anthropic, #LangChain, #Replit, #Sourcegraph, #Codeium, #OpenAI, #MicrosoftAzure, #Block, #Apollo, #AIWorkAutomation, #AIEnterprise, #AICodingAssistant, #ClaudeForWork, #OpenAI, #MCPServer, #GitHubMCP, #AIEcosystem, #AITrends, #MCPTutorial, #MCPDevelopmentGuide, #AIContextConnection, #MCPWorkshop, #AITechnologyStandards, #AIDeveloperTools, #AIInnovation
