Context7 MCP 服务

Context7 是 Claude Code 生态系统中的智能上下文管理服务，提供强大的代码上下文分析、语义理解和知识图谱构建能力。

服务概述

Context7 通过 Model Context Protocol (MCP) 提供：

• 智能代码上下文理解
• 🕸 项目知识图谱构建
• 语义代码搜索
• 依赖关系分析
• 智能代码建议

快速开始

安装配置

1. 安装服务

# 全局安装
npm install -g @claude/context7-mcp-server

# 或作为项目依赖
npm install --save-dev @claude/context7-mcp-server

2. 配置 MCP 客户端

// claude.config.json
{
  "mcpServers": {
    "context7": {
      "command": "context7-mcp-server",
      "args": ["--workspace", "./"],
      "env": {
        "CONTEXT7_LOG_LEVEL": "info"
      }
    }
  }
}

3. 启动服务

# 直接启动
context7-mcp-server --workspace ./my-project

# 或通过 Claude CLI
claude mcp start context7

核心功能

1. 代码上下文分析

智能上下文提取

// 通过 MCP 调用
const context = await mcp.call('context7', 'analyzeContext', {
  file: 'src/components/UserProfile.jsx',
  position: { line: 25, column: 10 },
  scope: 'function' // 或 'class', 'module', 'project'
});

console.log(context);

响应示例：

{
  "success": true,
  "data": {
    "currentSymbol": {
      "name": "UserProfile",
      "type": "FunctionComponent",
      "location": { "line": 15, "column": 7 },
      "parameters": ["userId", "onUpdate"],
      "dependencies": ["useState", "useEffect", "userService"]
    },
    "scope": {
      "imports": [
        { "name": "React", "from": "react" },
        { "name": "userService", "from": "../services/userService" }
      ],
      "exports": ["UserProfile"],
      "localVariables": ["user", "loading", "error"],
      "functions": ["handleUpdate", "handleSubmit"]
    },
    "relationships": {
      "calls": ["userService.getUser", "userService.updateUser"],
      "calledBy": ["UserList", "UserDetail", "Dashboard"],
      "imports": ["../services/userService", "react"],
      "exports": ["UserProfile"]
    },
    "semanticInfo": {
      "purpose": "用户资料组件，用于显示和编辑用户信息",
      "patterns": ["React Hook", "Service Layer", "Error Handling"],
      "complexity": "medium",
      "testability": "high"
    }
  }
}

跨文件上下文追踪

// 追踪函数调用链
const callChain = await mcp.call('context7', 'traceCallChain', {
  symbol: 'updateUserProfile',
  direction: 'both', // 'up', 'down', 'both'
  depth: 3
});

// 追踪数据流
const dataFlow = await mcp.call('context7', 'traceDataFlow', {
  variable: 'userData',
  file: 'src/components/UserProfile.jsx',
  direction: 'both'
});

2. 知识图谱构建

项目架构图谱

// 构建项目知识图谱
const knowledgeGraph = await mcp.call('context7', 'buildKnowledgeGraph', {
  scope: 'project',
  includeTypes: ['components', 'services', 'utils', 'types'],
  analysisDepth: 'deep'
});

知识图谱结构：

{
  "nodes": [
    {
      "id": "UserProfile",
      "type": "component",
      "category": "react",
      "file": "src/components/UserProfile.jsx",
      "properties": {
        "complexity": 6,
        "testCoverage": 85,
        "dependencies": 4,
        "usageCount": 12
      }
    },
    {
      "id": "userService",
      "type": "service", 
      "category": "api",
      "file": "src/services/userService.js",
      "properties": {
        "methods": ["getUser", "updateUser", "deleteUser"],
        "complexity": 8,
        "errorHandling": true
      }
    }
  ],
  "edges": [
    {
      "source": "UserProfile",
      "target": "userService", 
      "relationship": "uses",
      "strength": 0.8,
      "methods": ["getUser", "updateUser"]
    }
  ],
  "clusters": [
    {
      "id": "user-management",
      "nodes": ["UserProfile", "UserList", "userService"],
      "cohesion": 0.9
    }
  ]
}

可视化图谱

// 生成可视化图谱
const visualization = await mcp.call('context7', 'generateVisualization', {
  graphId: 'project-architecture',
  format: 'mermaid', // 或 'd3', 'cytoscape'
  layout: 'hierarchical'
});

console.log(visualization.mermaidCode);

生成的 Mermaid 图：

3. 语义代码搜索

智能搜索

// 语义搜索
const searchResults = await mcp.call('context7', 'semanticSearch', {
  query: '用户认证相关的函数',
  type: 'function',
  includeContext: true,
  limit: 10
});

// 相似代码搜索
const similarCode = await mcp.call('context7', 'findSimilarCode', {
  codeSnippet: `
    const [user, setUser] = useState(null);
    const [loading, setLoading] = useState(true);
  `,
  similarity: 0.7
});

搜索结果示例：

{
  "results": [
    {
      "symbol": "authenticateUser",
      "file": "src/services/authService.js",
      "location": { "line": 25, "column": 17 },
      "relevance": 0.95,
      "context": {
        "description": "用户身份验证主函数",
        "parameters": ["credentials", "options"],
        "returnType": "Promise<AuthResult>",
        "usageExamples": [
          "await authenticateUser({ email, password })",
          "authenticateUser(creds, { remember: true })"
        ]
      },
      "relatedSymbols": [
        "validateCredentials",
        "generateToken", 
        "verifyUser"
      ]
    }
  ],
  "suggestions": [
    "您可能还对以下相关功能感兴趣：",
    "• 用户授权检查 (authorizeUser)",
    "• 密码重置功能 (resetPassword)",
    "• 双因素认证 (verifyTwoFactor)"
  ]
}

4. 依赖关系分析

依赖图谱

// 分析模块依赖
const dependencies = await mcp.call('context7', 'analyzeDependencies', {
  module: 'src/components/UserProfile.jsx',
  includeIndirect: true,
  detectCircular: true
});

// 影响分析
const impact = await mcp.call('context7', 'analyzeImpact', {
  changes: [
    { file: 'src/services/userService.js', type: 'modify' }
  ],
  scope: 'project'
});

依赖分析结果：

{
  "directDependencies": [
    {
      "name": "react",
      "type": "external",
      "version": "^18.2.0",
      "usage": ["useState", "useEffect", "memo"]
    },
    {
      "name": "../services/userService", 
      "type": "internal",
      "path": "src/services/userService.js",
      "usage": ["getUser", "updateUser"]
    }
  ],
  "indirectDependencies": [
    {
      "name": "axios",
      "type": "external", 
      "path": "userService → apiClient → axios",
      "depth": 2
    }
  ],
  "circularDependencies": [],
  "unusedDependencies": [
    {
      "name": "lodash",
      "reason": "已导入但未使用",
      "suggestion": "可以安全移除"
    }
  ],
  "impactAnalysis": {
    "affectedFiles": 12,
    "riskLevel": "medium",
    "testFiles": [
      "src/components/__tests__/UserProfile.test.jsx"
    ]
  }
}

5. 智能代码建议

上下文感知建议

// 获取智能建议
const suggestions = await mcp.call('context7', 'getSuggestions', {
  file: 'src/components/UserProfile.jsx',
  position: { line: 30, column: 15 },
  context: 'editing',
  includeRefactoring: true
});

建议示例：

{
  "suggestions": [
    {
      "type": "completion",
      "title": "自动完成用户状态管理",
      "description": "基于当前上下文，建议完成用户状态管理模式",
      "confidence": 0.9,
      "code": `
const [user, setUser] = useState(null);
const [loading, setLoading] = useState(false);
const [error, setError] = useState(null);

const fetchUser = useCallback(async (userId) => {
  setLoading(true);
  setError(null);
  try {
    const userData = await userService.getUser(userId);
    setUser(userData);
  } catch (err) {
    setError(err.message);
  } finally {
    setLoading(false);
  }
}, []);
      `,
      "explanation": "这是一个常见的异步数据获取模式，包含加载状态和错误处理"
    },
    {
      "type": "refactoring",
      "title": "提取自定义Hook",
      "description": "将用户数据管理逻辑提取为可复用的自定义Hook",
      "confidence": 0.8,
      "preview": {
        "before": "// 当前组件中的用户状态管理",
        "after": "const { user, loading, error, fetchUser } = useUser(userId);"
      },
      "benefits": [
        "提高代码复用性",
        "简化组件逻辑",
        "便于单元测试"
      ]
    }
  ],
  "relatedPatterns": [
    {
      "name": "Custom Hook Pattern",
      "description": "提取可复用的状态逻辑",
      "examples": ["useUser", "useAPI", "useFetch"]
    }
  ]
}

高级配置

服务配置文件

// context7.config.js
export default {
  // 分析配置
  analysis: {
    // 支持的语言
    languages: ['javascript', 'typescript', 'jsx', 'tsx', 'python'],
    
    // 分析深度
    depth: {
      default: 'standard', // quick, standard, deep
      semantic: 'deep',
      dependency: 'standard'
    },
    
    // 上下文窗口大小
    contextWindow: {
      lines: 50,
      tokens: 2000
    },
    
    // 缓存配置
    cache: {
      enabled: true,
      ttl: 3600, // 1小时
      maxSize: '100MB'
    }
  },
  
  // 知识图谱配置
  knowledgeGraph: {
    // 节点类型
    nodeTypes: [
      'component', 'service', 'utility', 'type', 
      'constant', 'hook', 'context'
    ],
    
    // 关系类型
    relationshipTypes: [
      'imports', 'exports', 'calls', 'extends',
      'implements', 'uses', 'contains'
    ],
    
    // 聚类算法
    clustering: {
      algorithm: 'modularity', // louvain, leiden, modularity
      resolution: 1.0
    }
  },
  
  // 搜索配置
  search: {
    // 索引配置
    indexing: {
      enabled: true,
      realtime: true,
      batchSize: 100
    },
    
    // 语义模型
    semanticModel: {
      provider: 'openai', // openai, huggingface, local
      model: 'text-embedding-ada-002',
      dimensions: 1536
    },
    
    // 搜索权重
    weights: {
      exact: 1.0,
      semantic: 0.8,
      fuzzy: 0.6,
      context: 0.4
    }
  },
  
  // 建议配置
  suggestions: {
    // 建议类型
    types: [
      'completion', 'refactoring', 'optimization',
      'testing', 'documentation'
    ],
    
    // 置信度阈值
    confidenceThreshold: 0.7,
    
    // 最大建议数
    maxSuggestions: 5
  }
};

自定义分析器

// analyzers/custom-context-analyzer.js
import { BaseAnalyzer } from '@claude/context7-mcp-server';

export default class CustomContextAnalyzer extends BaseAnalyzer {
  constructor(options) {
    super(options);
    this.name = 'custom-context';
  }
  
  async analyze(file, position, options = {}) {
    const context = await super.analyze(file, position, options);
    
    // 添加自定义上下文信息
    context.custom = await this.extractCustomContext(file, position);
    
    return context;
  }
  
  async extractCustomContext(file, position) {
    // 自定义上下文提取逻辑
    const businessContext = await this.extractBusinessContext(file);
    const architecturalContext = await this.extractArchitecturalContext(file);
    
    return {
      business: businessContext,
      architecture: architecturalContext,
      patterns: await this.identifyPatterns(file),
      conventions: await this.checkConventions(file)
    };
  }
  
  async extractBusinessContext(file) {
    // 从注释和命名中提取业务上下文
    const comments = this.extractComments(file);
    const names = this.extractNames(file);
    
    return {
      domain: this.inferDomain(names, comments),
      purpose: this.inferPurpose(comments),
      businessRules: this.extractBusinessRules(comments)
    };
  }
}

集成示例

VS Code 扩展集成

// vscode-extension/src/context7Provider.js
import * as vscode from 'vscode';
import { MCPClient } from '@claude/mcp-client';

class Context7Provider {
  constructor() {
    this.client = new MCPClient('context7');
  }
  
  async provideHover(document, position) {
    const context = await this.client.call('analyzeContext', {
      file: document.fileName,
      position: { line: position.line, column: position.character },
      scope: 'symbol'
    });
    
    if (context.success) {
      const markdown = new vscode.MarkdownString();
      markdown.appendMarkdown(`**${context.data.currentSymbol.name}**\n\n`);
      markdown.appendMarkdown(context.data.semanticInfo.purpose + '\n\n');
      
      if (context.data.relationships.calls.length > 0) {
        markdown.appendMarkdown('**调用的函数:**\n');
        context.data.relationships.calls.forEach(call => {
          markdown.appendMarkdown(`- \`${call}\`\n`);
        });
      }
      
      return new vscode.Hover(markdown);
    }
  }
  
  async provideCompletionItems(document, position) {
    const suggestions = await this.client.call('getSuggestions', {
      file: document.fileName,
      position: { line: position.line, column: position.character },
      context: 'completion'
    });
    
    return suggestions.data.suggestions.map(suggestion => {
      const item = new vscode.CompletionItem(
        suggestion.title,
        vscode.CompletionItemKind.Snippet
      );
      item.insertText = new vscode.SnippetString(suggestion.code);
      item.documentation = new vscode.MarkdownString(suggestion.description);
      item.sortText = String(1 - suggestion.confidence); // 按置信度排序
      return item;
    });
  }
}

Web 界面集成

// web-ui/src/components/ContextPanel.jsx
import React, { useState, useEffect } from 'react';
import { useContext7 } from '../hooks/useContext7';

const ContextPanel = ({ currentFile, currentPosition }) => {
  const [context, setContext] = useState(null);
  const [knowledgeGraph, setKnowledgeGraph] = useState(null);
  const context7 = useContext7();
  
  useEffect(() => {
    if (currentFile && currentPosition) {
      loadContext();
      loadKnowledgeGraph();
    }
  }, [currentFile, currentPosition]);
  
  const loadContext = async () => {
    const result = await context7.analyzeContext({
      file: currentFile,
      position: currentPosition,
      scope: 'function'
    });
    setContext(result.data);
  };
  
  const loadKnowledgeGraph = async () => {
    const result = await context7.buildKnowledgeGraph({
      scope: 'module',
      centerFile: currentFile
    });
    setKnowledgeGraph(result.data);
  };
  
  return (
    <div className="context-panel">
      <div className="panel-section">
        <h3>当前上下文</h3>
        {context && (
          <div>
            <div className="symbol-info">
              <h4>{context.currentSymbol.name}</h4>
              <p>{context.semanticInfo.purpose}</p>
            </div>
            
            <div className="relationships">
              <h5>依赖关系</h5>
              <ul>
                {context.relationships.calls.map(call => (
                  <li key={call}>调用: {call}</li>
                ))}
                {context.relationships.calledBy.map(caller => (
                  <li key={caller}>被调用: {caller}</li>
                ))}
              </ul>
            </div>
          </div>
        )}
      </div>
      
      <div className="panel-section">
        <h3>知识图谱</h3>
        {knowledgeGraph && (
          <KnowledgeGraphVisualization graph={knowledgeGraph} />
        )}
      </div>
    </div>
  );
};

性能优化

缓存策略

// 分层缓存配置
const cacheConfig = {
  // 内存缓存 (最快)
  memory: {
    maxSize: '50MB',
    ttl: 300, // 5分钟
    lru: true
  },
  
  // 磁盘缓存 (持久化)
  disk: {
    directory: '.context7/cache',
    maxSize: '500MB',
    ttl: 3600, // 1小时
    compression: 'gzip'
  },
  
  // 分布式缓存 (团队共享)
  distributed: {
    enabled: false,
    redis: {
      host: 'localhost',
      port: 6379,
      ttl: 7200 // 2小时
    }
  }
};

增量分析

// 文件变更监听
const watchConfig = {
  enabled: true,
  patterns: ['**/*.{js,jsx,ts,tsx}'],
  ignored: ['node_modules/**', 'dist/**'],
  
  // 增量更新策略
  incremental: {
    enabled: true,
    batchSize: 10,
    debounce: 500 // 毫秒
  },
  
  // 优先级队列
  priority: {
    high: ['src/components/**'],
    medium: ['src/services/**'],
    low: ['src/utils/**']
  }
};

安全和隐私

数据保护

// 隐私配置
const privacyConfig = {
  // 敏感信息过滤
  sensitiveData: {
    patterns: [
      /password/i,
      /secret/i,
      /token/i,
      /api[_-]?key/i
    ],
    replacement: '[REDACTED]'
  },
  
  // 数据本地化
  dataLocality: {
    enabled: true,
    allowRemote: false,
    encryptAtRest: true
  },
  
  // 访问控制
  access: {
    requireAuth: true,
    permissions: ['read', 'analyze'],
    auditLog: true
  }
};

相关资源

• Sequential MCP 服务 - 流程化代码分析
• Magic MCP 服务 - AI 代码生成
• Playwright MCP 服务 - 自动化测试
• MCP 协议文档 - 协议规范

最佳实践

1. 合理使用分析深度

• 日常开发使用 standard 深度
• 重构时使用 deep 深度
• 快速预览使用 quick 深度

2. 优化搜索性能

• 使用精确的搜索词
• 合理设置搜索范围
• 利用缓存机制

3. 知识图谱维护

• 定期清理过期节点
• 监控图谱大小
• 优化聚类参数

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Context7 - 让AI理解你的代码