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MCP context agreement: from theory to practice (white read too)

itadol5j

Introduction: AI Last shackle Before Awakening

Imagine the following scene:

  • You let ChatGPTAnalysis of corporate accountsAnd it says, "No access to Excel files."
  • Use AIAutorespond to Task Mail, it only recommends “entry manually into the mailbox”;
  • Even ask.Write minutes with Markdown) It generates a never-ending disarray...

ZeniumNo, AI is not strong enough, but it's cut off from the sense of the world's nerves!We're going to reveal it today.MCP (Model subject Protocol)And it's the "neurological interface" that really connects AI to reality. Without the code base, I'll show you the revolutionary technology that's going to change human interaction!

I. Why do you need MCP? Breaking the AI 'Information Cocoon'

1.1 Three main shortcomings of the current AI

Type of impairment Specific performance MCP Solutions
Data island Could not read local files/databases Real-time access Office/MySQL
Missing tools Could not operate software/call API Directly execute Python/Mail
Information lag Knowledge until training time Dynamic updating of medical/legal knowledge Library

1.2 The subversive value of MCP

  • For Developers: 70% reduction in development costs (no separate interface for each AI)
  • To business.: 3 times more data utilization (AI directly analysed CRM system)
  • For ordinary people.: Work efficiency doubled (see [life cases] below)

ZeniumCore: Imagine MCP"Application Shop" for AI— Every server is like an APP, installed, AI immediately acquires new capabilities!

Technical decomposition: MCP understood by 5-year-olds

640-1

2.1 3 sets of core architecture

  1. MCP Client
  • Role: "Commander" of AI
  • Common form: ChatGPT plugin/ VSCode Extension/Claude Desktopend
  • Core competencies: Understand user intent Generate command code
  1. MCP Server
  • Role: AI's Toolkit
  • Typical configuration:

    # 示例：天气查询服务器@mcp_tooldef get_weather(city: str):     return requests.get(f"https://weather.com/{city}").json()
  1. Protocol Layer
  • Communication mode: similar to tweets
  • Data format: Structured JSON (ensure machine readability)
  • Security mechanism: dual authentication (user authorization + data encryption)

2.2 Complete workflow

withAutomatically generate weekly reportsFor example:

  1. The user said, "Put my nails on the calendar and GitHub and submit a report on the weekly cost of recording."
  2. AI Client Parsing Needs

    {  "action": "get_data",  "source": ["钉钉日程", "GitHub"],  "time_range": "2025-03-01 to 2025-03-07"}
  3. The server returns the raw data → AI analysis to generate the text weekly
  4. User clearance Click Send Mail for automated delivery

III. Security mechanisms: Are your data really safe?

3.1 Four-heavy protective system

 
Level of protection Technical instruments User perception
Permission Control Sandbox Segregation + Minimal Permission Principle Every time a popup confirmation window is called
Data encryption TLS 1.3 + AES-256 The address bar displays an icon
Audit trail Operation log cloud retention 90 days Access records are readily available
A leaky reward. White hat hacking. No sense, but safer.

3.2 Visibility of privacy design

  • Local Priority: sensitive data (e.g. medical records) can pass through clouds
  • Guarantee of the right to forgetOne key to clear specific data in AI memory
  • Virtual identity: AI Using pseudonym access systems (e.g. “Finance Assistant 007”)

IV. Living case: How does MCP reshape everyday life?

4.1 Student scene: Theories

  • Traditional modelManual literature check, copy paste, paste, stay up. Version
  • MCP plus:
    • Access to the latest paper of the Network (through the school library server)
    • Generate a first draft of the Markdown format
    • Call Zotero to insert references
    1. Voice input: "Write me an overview of quantum calculations."
    2. AI Auto:
    3. Output result: Word documents that can be submitted directly

4.2 Worker scene: Terminator

  • It hurts.1 hour of meetings 2 hours of summary
  • MCP Programme:
    • Real-time transfer: access to telecommunication conference API
    • Smart summary: identifying key decision items (red highlight)
    • Auto-distribution: through Micro-Credit@relevant responsibilities People

4.3 The elderly scene: a healthy housekeeper

  • Smart medicine box: AI to read medical reports → Automatically adjust drug alarms
  • Crash warning.: Handring data analysis in real time.
  • dialect interaction: Support for the voice order “Noon's reservation for Alaa for the Osteoporosis Section of Mount Hua”

V. Teaching hands: Three steps to create your MCP environment

5.1 Basic configuration (Windows/Mac Universal)

  1. Download Claude Desktop (inline MCP client)
  2. Install Open Source Server (Recommended)MCP-LiteI'm not sure.

    pip install mcp-lite  # 一行命令完成安装
  3. Connect data sources (example Excel):640-2

5.2 Progressive skills: creating tools in natural languages

Enter in the dialogue box:

/@create_tool  名称：股票分析器  功能：输入股票代码，返回最新价格和涨跌幅  数据源：新浪财经API  权限：仅读取  

AI will automatically generate a runable Python code!

5.3 Common answers

  • Q: Will you leak my files? A: First visit requires authorization and default read-only mode (can not be modified/deleted)
  • Q: Does it work after the net is broken? A: Local server functionality is not affected (e.g. operation Excel)
  • Q: Is there a fee to pay? A: Base functionality free of charge and enterprise-level functionality subscription (e.g. Oracle database support)

VI. THE INDUSTRIAL IMPACT: These occupations will be subverted

6.1 New opportunities

  • MCP Transfer of TeachersAnnual salary 50W+ to optimize AI workflow
  • Semantic Engineer: Design rules for conversion of natural languages to machine commands
  • AI Ethics: monitoring ethical boundaries of human and institutional collaboration

6.2 Upgrading guidelines

Occupation Survival proposal You must learn skills.
Programmer. From writing code to designing tool chain MCP protocol norms
Product Manager Dismantling of natural language needs Semantic Modelling Tool
Operator Train in vertical fields AI Assistant Prompt Engineering

Concluding remarks: The age of human symbiotic with AI has come.

When ChatGPT can handle your Excel, when Claude can call your Twitter friend, we're standing at the strange moment of human collaboration.MCP is not a substitute for humans, but an extension of the cognitive boundaries of the "extra-brain"I don't know.

Immediate action:

  1. Click [watch] to get MCP dynamics first
  2. Send this message and leave a message "Get the manual" to get the MCP War Book.
  3. Try to implement the first MCP command with Claude (example: "/@help check weather")