That's right, #Manus is essentially a combination of #Claude + #MCP, with some optimizations and a new packaging! Recently, the concept of #MCP has been a hot topic in the #AI Agent community! The evolution speed of #AI Agents is particularly fast, and keeping up with the trends of #Web2 AI can lead to better investments in #Web3 AI project tracks! 🧐

MCP (Model Context Protocol) is a new way for AI models (like #Claude) to connect with external tools, databases, and knowledge sources. Simply put, it acts like a "universal adapter" for AI, helping it access real-time data rather than just relying on knowledge learned during training.

Why is MCP needed?

In the past, if you wanted AI to access your files, calendar, or online tools, developers had to write interfaces for each application separately, which was both cumbersome and time-consuming. MCP solves this problem by providing a universal standard that allows any AI model to easily interact with external services (like Gmail, Slack, databases, etc.).

How does MCP work?

MCP is divided into three parts:

1️⃣ Host: AI applications like Claude that provide an AI interaction environment and run the MCP client.

2️⃣ MCP Client: A component of the AI model responsible for requesting data from external tools or databases. For example, if Claude wants to query a database, it will send a request through the MCP client.

3️⃣ MCP Server: Connects the AI model with external systems (like databases, cloud folders, etc.), responsible for retrieving the data needed by the AI and returning it.

You can think of it as a "data intermediary" for AI: when AI needs information, the MCP server goes to different places to find data (like documents, emails, databases) and then brings the information back.

What can MCP do?

MCP has a wide range of applications, such as:

• Personal Assistant: Helps you organize schedules, summarize emails, and find files.

• Business Analysis: Extracts data from company databases to generate reports.

• Software Development: Searches for code examples and documentation to improve programming efficiency.

• Customer Support: Accesses historical conversations and order information to provide more accurate responses.

In summary: The emergence of #MCP allows AI to access the latest information at any time, rather than just relying on outdated training data. This means that future AI Agents will be smarter, more flexible, and more aligned with our actual needs, which may give rise to numerous entrepreneurial opportunities. 🧐

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