What does this server do?
It exposes OpenAI’s web search as an MCP tool, allowing AI assistants to perform web searches and return results within a conversation.
@ConechoAI
Basic information
openai websearch tool as mcp server
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"openai-websearch-mcp": {
"command": "uv",
"args": [
"run",
"--with",
"uv",
"--with",
"openai-websearch-mcp",
"openai-websearch-mcp-install"
],
"env": {
"OPENAI_API_KEY": "sk-xxxx"
}
}
}
}Call openai websearch as tool.
This MCP server provides access to OpenAI's web search functionality through the Model Context Protocol. It enables AI assistants to search the web during conversations, retrieving up-to-date information beyond the assistant's training data. Designed for use with Claude.app and Zed editor.
Install via uvx openai-websearch-mcp or pip install openai-websearch-mcp. Set the OPENAI_API_KEY environment variable with your API key from platform.openai.com. Configure the server in your Claude settings or Zed settings.json by adding the appropriate command and arguments. Use the web_search tool, providing required arguments type (string) and search_context_size (low/medium/high), with an optional user_location object.
It exposes OpenAI’s web search as an MCP tool, allowing AI assistants to perform web searches and return results within a conversation.
You can install via `uvx openai-websearch-mcp` (recommended) or `pip install openai-websearch-mcp`, then configure your client with the required command and your `OPENAI_API_KEY`.
You need `uvx` (or `pip` and Python) and a valid OpenAI API key. No other runtime dependencies are mentioned.
The server provides one tool: `web_search`. It requires `type` (string) and `search_context_size` (low/medium/high), and accepts an optional `user_location` object with city, country, region, and timezone.
Yes, the README includes configuration examples for Zed editor. Cursor and Windsurf support are listed as “Coming soon”.

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