The significance of AI is to liberate human labor and raise the lower limit of work capabilities for most jobs. However, current LLM limitations are still significant - it requires back-and-forth dialogue to provide suggestions, and users must personally execute these suggestions, indicating a gap before AI truly helps us work.
Now, if we can interact with AI to actually use your computer for email replies, report writing, and even automate crypto trading, aren't we getting closer to the vision of liberating productivity? This technology is the current hot keyword in the AI field - MCP
What is MCP?
MCP (Model Context Protocol) is a "standardized agreement" released by Anthropic in November 2024, designed to solve the problem of AI models being able to "talk" but unable to "act".
First, let's break down the MCP name
- Model: Referring to various large language AI models (such as GPT, Claude, Gemini, etc.)
- Context: Representing additional information or external tools provided to the model
- Protocol: A universal, standardized "specification" or "interface"
Together, it means: through a unified standard, allowing AI to not just "talk" but directly control external tools to complete various tasks.
Most commonly used LLMs like ChatGPT and Grok can only perform "text input, text output" based on dialogue content. If we want AI to help execute operations like reading computer files, sending emails, or checking databases, users typically give instructions to the LLM, then manually operate based on the LLM's response, and report back to the AI for further text suggestions, creating a repetitive loop.
The emergence of MCP allows AI to not only read local computer files and connect to remote databases but also directly operate specific network services. In other words, AI is no longer just outputting text but can complete many repetitive or procedural tasks for you.
[The translation continues in the same manner for the entire text, maintaining the specified translations for crypto-related terms.]LYRAOS, fully named LYRA MCP-OS, is a multi-AI Agent operating system that allows AI Agents to directly interact with the Solana blockchain, performing operations such as buying and selling cryptocurrencies.
Currently, they are exploring how to establish thousands of "AI16ZDAOs", which are AI-driven decentralized autonomous organizations for crypto investments. LYRAIOS plans to release a DEMO between March 21-22, 2025, and launch the official product next week.
Current token market cap is $923,000, with a peak of $2.64 million, 24-hour trading volume of $3 million, and 2,922 token holding addresses
Conclusion: AI Narrative Dances Again, Requiring Time to Observe
Although MCP provides a standardized rule allowing AI to interact more easily and safely with external tools, and seemingly promising in the Web 3 domain, successful cases remain relatively limited, with potential reasons including:
Immature Technology Integration: In the Web 3 ecosystem, each blockchain and DApp has different contract logic and data structures, making it challenging to uniformly encapsulate them into an AI-callable MCP Server, requiring significant development resources.
Security and Regulatory Risks: Allowing AI to directly manipulate contracts and handle financial transactions requires designing comprehensive private key management and permission control mechanisms, with high complexity and cost.
User Habits and Experience: Most people remain skeptical about letting AI manage wallets or make investment decisions, and blockchain's inherent operational barriers are high. If the experience is overly complex or lacks clear application scenarios, newcomers will struggle to use or invest long-term.
Aesthetic Fatigue and Market Coldness: Previously, AI Agents created a wave in the crypto space, with many unrealized projects valued at over $100 million at their peak. Recently, they are facing a stage of bursting the AI bubble, with most projects declining over 90%, seen as a disenchantment with AI.
Returning to the MCP narrative, it can be understood as a super-enhanced AI Agent. The market has already experienced a crypto AI frenzy and gradually understood the difference between conceptual hype and actual application. Without truly innovative and practical value applications, investors and users won't easily buy in. Projects like BORK, as early MCP initiatives, failed to generate heat due to lack of obvious differentiation or application landing, which the author considers the most crucial factor in why the current MCP concept hasn't gained traction.
MCP's integration with blockchain holds potential but simultaneously faces dual challenges of technical barriers and market pressure. In the future, if more mature security mechanisms can be integrated, more intuitive user experiences created, and truly value-bringing innovative applications discovered, "Web 3 + MCP" might escape the destiny of being a "hype topic" and become a new main narrative line.
