中文版

一个通用的MCP服务器，提供由DeepSeek原生网页搜索API驱动的网页搜索工具——无需第三方搜索API。

支持Claude代码、Cursor、Continue、OpenCode、pi以及任何支持MCP协议的工具。

特色

• 🔍 DeepSeek 原生搜索 — 使用服务器端 web_search_20250305 工具，无需第三方搜索 API
• 📝 AI生成答案 — 返回从整页内容综合而成的详细答案，而不仅仅是URL列表
• 🔗 包含来源网址 — 每个答案都附带原始链接以供验证
• ⚙️ 灵活配置 — 选择模型，切换思维模式，调整令牌限制
• 🌐 MCP 协议 — 标准 JSON-RPC 基于 stdio，兼容所有 MCP 客户端

工作原理

一个MCP工具调用 = 一个DeepSeek API请求——搜索、解密和响应生成均在服务器端完成。

快速启动

1.获取DeepSeek API密钥

请访问DeepSeek平台注册并获取您的API密钥。

2.安装

3.配置您的AI编码助手

在你的MCP配置文件中添加以下内容：

克劳德·科德

编辑 '~/.claude/claude_desktop_config.

websearch-deepseek

中文版

A universal MCP Server that provides a web search tool powered by DeepSeek’s native web search API — no third-party search API required.

Works with Claude Code, Cursor, Continue, OpenCode, pi, and any tool that supports the MCP protocol.

Features

• 🔍 DeepSeek Native Search — Uses the server-side web_search_20250305 tool, no third-party search API needed
• 📝 AI-Generated Answers — Returns detailed answers synthesized from full page content, not just a list of URLs
• 🔗 Source URLs Included — Every answer comes with original source links for verification
• ⚙️ Flexible Configuration — Choose model, toggle thinking mode, adjust token limits
• 🌐 MCP Protocol — Standard JSON-RPC over stdio, compatible with all MCP clients

How It Works

User Query → DeepSeek Model
                  ↓
        Server executes web_search (fetches pages)
                  ↓
        Encrypted page content → Server decrypts → Feeds to model
                  ↓
        Model generates detailed answer based on full content
                  ↓
Returns: AI-generated answer + source URL list

One MCP tool call = One DeepSeek API request — search, decryption, and answer generation all happen server-side.

Quick Start

1. Get a DeepSeek API Key

Visit DeepSeek Platform to sign up and get your API Key.

2. Install

npm install -g websearch-deepseek

3. Configure Your AI Coding Assistant

Add the following to your MCP configuration file:

Claude Code

Edit ~/.claude/claude_desktop_config.json or .mcp.json in your project:

{
  "mcpServers": {
    "websearch-deepseek": {
      "command": "npx",
      "args": ["websearch-deepseek"],
      "env": {
        "DEEPSEEK_API_KEY": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
        "WEBSEARCH_MODEL": "deepseek-v4-flash",
        "WEBSEARCH_THINKING": "enabled"
      }
    }
  }
}

Cursor

Edit ~/.cursor/mcp.json:

{
  "mcpServers": {
    "websearch-deepseek": {
      "command": "npx",
      "args": ["websearch-deepseek"],
      "env": {
        "DEEPSEEK_API_KEY": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}

Continue (VS Code)

Edit ~/.continue/config.json, add to mcpServers:

{
  "mcpServers": [
    {
      "name": "websearch-deepseek",
      "command": "npx",
      "args": ["websearch-deepseek"],
      "env": {
        "DEEPSEEK_API_KEY": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
      }
    }
  ]
}

pi

Edit ~/.pi/agent/settings.json, add to mcp:

{
  "mcp": {
    "websearch-deepseek": {
      "command": "npx",
      "args": ["websearch-deepseek"],
      "env": {
        "DEEPSEEK_API_KEY": "sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
      }
    }
  }
}

4. Start Using It