A Python-based MCP server that exposes OpenAI's built-in web_search tool as an MCP-compliant service.
Loading more......
A Python-based MCP server for querying OpenAI models directly from Claude or other clients using the Model Context Protocol.
An MCP server integrating Google Gemini API to enable advanced web searches with language understanding capabilities.
Enhances LLM and AI applications with deep autonomous web research capabilities through the Model Context Protocol. It explores and validates information from trusted sources, delivering better quality results than standard search tools—an example of an advanced MCP server.
Official Kagi Search MCP Server, bringing Kagi's advanced web search to the MCP ecosystem.
Web search MCP server using Microsoft Bing Search API, providing Bing-powered search within the MCP protocol.
An MCP server for chatting with any OpenAI SDK compatible Chat Completions API, including Perplexity, Groq, and xAI, enabling connection to multiple AI providers through a unified OpenAI-compatible API interface using the Model Context Protocol.
ConechoAI/openai-websearch-mcp is a Python-based MCP (Model Context Protocol) server that exposes OpenAI's built-in web_search tool as an MCP-compliant service. It enables AI assistants to perform web searches during conversations, providing up-to-date information beyond their training data.
uvx or pip.uvx or pip is available.No pricing information is provided; appears to be an open-source project.
See the repository for license information.