using openai websearch as mcp server
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# OpenAI WebSearch MCP Servr This MCP server provides access to OpenAI's websearch functionality through the Model Context Protocol. It allows AI assistants to search the web during conversations with users, providing up-to-date information that may not be available in the assistant's training data. The server can be installed and configured for use with Claude.app or Zed editor. ### Available Tools - `web_search` - Call openai websearch as tool. - Required arguments: - `type` (string): web_search_preview - `search_context_size` (string): High level guidance for the amount of context window space to use for the search. One of low, medium, or high. medium is the default. - `user_location` (object or null) - `type` (string): The type of location > approximation. Always approximate. - `city` (string): Free text input for the city of the user, e.g. San Francisco. - `country` (string): The two-letter ISO country code of the user, e.g. US. - `region` (string): Free text input for the region of the user, e.g. California. - `timezone` (string): The IANA timezone of the user, e.g. America/Los_Angeles. ## Installation ### Using uv (recommended) When using [`uv`](https://docs.astral.sh/uv/) no specific installation is needed. We will use [`uvx`](https://docs.astral.sh/uv/guides/tools/) to directly run *openai-websearch-mcp*. ### Using PIP Alternatively you can install `openai-websearch-mcp` via pip: ```bash pip install openai-websearch-mcp ``` After installation, you can run it as a script using: ```bash python -m openai-websearch-mcp ``` ## Configuration ### Configure for Claude.app Add to your Claude settings: <details> <summary>Using uvx</summary> ```json "mcpServers": { "openai-websearch-mcp": { "command": "uvx", "args": ["openai-websearch-mcp"], "env": { "OPENAI_API_KEY": "your-api-key-here" } } } ``` </details> <details> <summary>Using pip installation</summary> ```json "mcpServers…
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