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ConechoAI

OpenAI WebSearch MCP Server

by ConechoAI
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Python
Remote

OpenAI WebSearch MCP 服务器

此 MCP 服务器通过模型上下文协议 (MCP) 提供对 OpenAI 网页搜索功能的访问。它允许 AI 助手在与用户对话时搜索网页，提供助手训练数据中可能缺失的最新信息。该服务器可以安装和配置，以便与 Claude.app 或 Zed 编辑器配合使用。

一键安装和配置

克劳德

!!可以使用此命令自动更新配置文件（推荐）

OPENAI_API_KEY=sk-xxxx uv run --with uv --with openai-websearch-mcp openai-websearch-mcp-install

sk-xxxx 是您的 API 密钥，您可以从OpenAI 开放平台获取

光标

即将到来

风帆冲浪

即将到来

Related MCP server: OneSearch MCP Server

可用工具

  • web_search - 将 openai websearch 称为工具。

    • 必需参数：

      • type （字符串）：web_search_preview

      • search_context_size （字符串）：用于搜索的上下文窗口空间大小的高级指导。可选低、中或高。默认为中。

      • user_location （对象或空）

        • type （字符串）：位置类型 > 近似值。始终为近似值。

        • city （字符串）：用户所在城市的自由文本输入，例如旧金山。

        • country （字符串）：用户的两个字母的 ISO 国家代码，例如美国。

        • region （字符串）：用户所在区域的自由文本输入，例如加利福尼亚州。

        • timezone （字符串）：用户的 IANA 时区，例如 America/Los_Angeles。

手动安装和配置

安装前请确保已安装uvx

添加到您的 Claude 设置：

1、使用uvx

"mcpServers": {
  "openai-websearch-mcp": {
    "command": "uvx",
    "args": ["openai-websearch-mcp"],
    "env": {
        "OPENAI_API_KEY": "your-api-key-here"
    }
  }
}

2、使用pip安装

1）通过pip安装openai-websearch-mcp ：

pip install openai-websearch-mcp

2）修改你的Claude设置

"mcpServers": {
  "openai-websearch-mcp": {
    "command": "python",
    "args": ["-m", "openai_websearch_mcp"],
    "env": {
        "OPENAI_API_KEY": "your-api-key-here"
    }
  }
}

为 Zed 配置

添加到您的 Zed settings.json：

使用 uvx

"context_servers": [
  "openai-websearch-mcp": {
    "command": "uvx",
    "args": ["openai-websearch-mcp"],
    "env": {
        "OPENAI_API_KEY": "your-api-key-here"
    }
  }
],

使用 pip 安装

"context_servers": {
  "openai-websearch-mcp": {
    "command": "python",
    "args": ["-m", "openai_websearch_mcp"],
    "env": {
        "OPENAI_API_KEY": "your-api-key-here"
    }
  }
},

调试

您可以使用 MCP 检查器来调试服务器。对于 uvx 安装：

npx @modelcontextprotocol/inspector uvx openai-websearch-mcp
Install Server
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license - permissive license
A
quality
D
maintenance

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