太简单了！Cline官方定义MCP开发流程，聊天式开发，让MCP搭建不再复杂。

# MCP Server Development Protocol
⚠️ CRITICAL: DO NOT USE attempt_completion BEFORE TESTING ⚠️
## Step 1: Planning (PLAN MODE)- What problem does this tool solve?- What API/service will it use?- What are the authentication requirements?  □ Standard API key  □ OAuth (requires separate setup script)  □ Other credentials
## Step 2: Implementation (ACT MODE)1. Bootstrap   - For web services, JavaScript integration, or Node.js environments:     ```bash     npx @modelcontextprotocol/create-server my-server     cd my-server     npm install     ```   - For data science, ML workflows, or Python environments:     ```bash     pip install mcp     # Or with uv (recommended)     uv add "mcp[cli]"     ```
2. Core Implementation   - Use MCP SDK   - Implement comprehensive logging     - TypeScript (for web/JS projects):       ```typescript       console.error('[Setup] Initializing server...');       console.error('[API] Request to endpoint:', endpoint);       console.error('[Error] Failed with:', error);       ```     - Python (for data science/ML projects):       ```python       import logging       logging.error('[Setup] Initializing server...')       logging.error(f'[API] Request to endpoint: {endpoint}')       logging.error(f'[Error] Failed with: {str(error)}')       ```   - Add type definitions   - Handle errors with context   - Implement rate limiting if needed
3. Configuration   - Get credentials from user if needed   - Add to MCP settings:     - For TypeScript projects:       ```json       {         "mcpServers": {           "my-server": {             "command": "node",             "args": ["path/to/build/index.js"],             "env": {               "API_KEY": "key"             },             "disabled": false,             "autoApprove": []           }         }       }       ```     - For Python projects:       ```bash       # Directly with command line       mcp install server.py -v API_KEY=key
       # Or in settings.json       {         "mcpServers": {           "my-server": {             "command": "python",             "args": ["server.py"],             "env": {               "API_KEY": "key"             },             "disabled": false,             "autoApprove": []           }         }       }       ```
## Step 3: Testing (BLOCKER ⛔️)
<thinking>BEFORE using attempt_completion, I MUST verify:□ Have I tested EVERY tool?□ Have I confirmed success from the user for each test?□ Have I documented the test results?
If ANY answer is "no", I MUST NOT use attempt_completion.</thinking>
1. Test Each Tool (REQUIRED)   □ Test each tool with valid inputs   □ Verify output format is correct   ⚠️ DO NOT PROCEED UNTIL ALL TOOLS TESTED
## Step 4: Completion❗ STOP AND VERIFY:□ Every tool has been tested with valid inputs□ Output format is correct for each tool
Only after ALL tools have been tested can attempt_completion be used.
## Key Requirements- ✓ Must use MCP SDK- ✓ Must have comprehensive logging- ✓ Must test each tool individually- ✓ Must handle errors gracefully- ⛔️ NEVER skip testing before completion