deepseek-search
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@deepseek-searchsearch the web for the latest Node.js LTS release notes"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
deepseek-search-fetch-mcp
DeepSeek 官方 Search / Fetch API 的 stdio MCP 服务器。标准 MCP 协议,Claude Code、Codex、DeepSeek Harness、WorkBuddy、Cursor 都能直接挂载。
把这段丢给你的 Agent
帮我安装一个 MCP 服务器,名称 deepseek-search。
- 来源:npm 公开包 deepseek-search-fetch-mcp,stdio 传输
- 启动命令:npx -y deepseek-search-fetch-mcp
Windows 上若客户端不经过 shell,用:cmd /c npx -y deepseek-search-fetch-mcp
- 环境变量:DEEPSEEK_API_KEY=<我的 Key>(我没有的话先问我)
- 请写进你所在客户端自己的 MCP 配置并重载:
Claude Code 用 claude mcp add;Codex 用 codex mcp add 或 ~/.codex/config.toml;
DeepSeek Harness 用官方 @deepseek-ai/dsh-mcp-client + cordis.patch.yml;
WorkBuddy 用 ~/.workbuddy/mcp.json;Cursor 用 .cursor/mcp.json
- 装好后确认 deepseek_search 和 deepseek_fetch 两个工具可调用;
启动失败就把 stderr 原文贴给我Related MCP server: Qianxv-search-mcp
客户端
客户端 | 配置位置 | 备注 |
Claude Code |
| Windows 命令前加 |
Codex |
| CLI、IDE、桌面端共用一份 |
DeepSeek Harness |
| 官方 |
WorkBuddy |
| 保存后要在连接器里点「信任」 |
Cursor |
| 标准 |
Claude Code
# Windows
claude mcp add --scope user --env DEEPSEEK_API_KEY=sk-你的Key deepseek-search -- cmd /c npx -y deepseek-search-fetch-mcp# macOS / Linux
claude mcp add --scope user --env DEEPSEEK_API_KEY=sk-你的Key deepseek-search -- npx -y deepseek-search-fetch-mcpCodex
# Windows
codex mcp add deepseek-search --env DEEPSEEK_API_KEY=sk-你的Key -- cmd /c npx -y deepseek-search-fetch-mcp# macOS / Linux
codex mcp add deepseek-search --env DEEPSEEK_API_KEY=sk-你的Key -- npx -y deepseek-search-fetch-mcpDeepSeek Harness
先按宿主版本装官方 MCP 客户端(npm 的 latest 停在旧版,必须 pin):
dsh --version
dsh plugin --profile web add @deepseek-ai/dsh-mcp-client@<上一步输出的版本>再写入 ~/.dsh/profiles/web/cordis.patch.yml(或 ~/.dsh/cordis.patch.yml):
- insert:
- id: mcp-deepseek-search
name: '@deepseek-ai/dsh-mcp-client'
config:
serverName: deepseek-search
transport: stdio
command: npx
args: ['-y', 'deepseek-search-fetch-mcp']
env:
DEEPSEEK_API_KEY: !!js process.env.DEEPSEEK_API_KEY重启 DSH 后工具名是 mcp__deepseek-search__deepseek_search。DSH 默认工具超时 60s,本服务器 Fetch 最长 55s,不会被宿主先掐断。
WorkBuddy
{
"mcpServers": {
"deepseek-search": {
"command": "npx",
"args": ["-y", "deepseek-search-fetch-mcp"],
"env": { "DEEPSEEK_API_KEY": "sk-..." }
}
}
}Windows 拉不起 npx 时,改成 "command": "cmd", "args": ["/d", "/s", "/c", "npx -y deepseek-search-fetch-mcp"]。
Cursor
{
"mcpServers": {
"deepseek-search": {
"command": "npx",
"args": ["-y", "deepseek-search-fetch-mcp"],
"env": { "DEEPSEEK_API_KEY": "sk-..." }
}
}
}工具
工具 | 参数 | 返回 |
|
| 标题、URL、摘要、发布日期、权威度、相关性 |
|
| 标题 + Markdown 正文 |
为什么是它
一手证据:返回结构化搜索结果,不是模型二次加工的答案;按次计费,不烧模型 token。
便宜:5 元 / 1000 次成功请求,失败、空结果、超时不收费。
不闯祸:本地 4 次/秒限速、429 退避、45s/55s deadline、内网地址拦截;Key 只从环境变量或指定文件读取。
开发
npm test · npm run verify:package · npm run smoke:list · MIT · English
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