OpenAI WebSearch MCP Server
by ConechoAI
This MCP server provides access to OpenAI's websearch functionality through the Model Context Protocol, allowing AI assistants to search the web during conversations. It can be installed and configured for use with Claude.app or Zed editor.
Last updated: N/A
What is OpenAI WebSearch MCP Server?
The OpenAI WebSearch MCP Server is a tool that enables AI assistants to access and utilize OpenAI's web search capabilities. It acts as a bridge between the AI assistant and the web, providing up-to-date information during conversations.
How to use OpenAI WebSearch MCP Server?
The server can be installed using a one-click installation for Claude, or manually installed via pip. Configuration involves adding the server to your Claude or Zed settings, providing your OpenAI API key, and specifying the command and arguments for running the server.
Key features of OpenAI WebSearch MCP Server
Access to OpenAI web search functionality
Integration with Claude.app and Zed editor
One-click installation option
Manual installation via pip
Configurable search context size
Support for user location information
Use cases of OpenAI WebSearch MCP Server
Providing up-to-date information to AI assistants
Answering user questions with current web data
Enhancing AI assistant conversations with real-time search results
Supporting AI-powered research and information gathering
FAQ from OpenAI WebSearch MCP Server
What is an MCP server?
What is an MCP server?
MCP stands for Model Context Protocol. It's a protocol that allows AI models to access external tools and information sources.
How do I get an OpenAI API key?
How do I get an OpenAI API key?
You can obtain an OpenAI API key from the OpenAI platform website after creating an account.
What is uvx?
What is uvx?
uvx is a tool used for managing and running applications. It simplifies the process of executing the server.
What is the search_context_size argument?
What is the search_context_size argument?
The search_context_size argument controls the amount of context window space used for the web search, allowing you to fine-tune the search results.
How do I debug the server?
How do I debug the server?
You can use the MCP inspector to debug the server. The command for uvx installations is npx @modelcontextprotocol/inspector uvx openai-websearch-mcp.