What dependencies does MCP OpenAI Server need?
Node.js 18 or higher and an OpenAI API key are required. The server also depends on the Claude Desktop app for runtime configuration.
@mzxrai
基本情報
Chat with OpenAI models from Claude Desktop
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-openai": {
"command": "npx",
"args": [
"-y",
"@mzxrai/mcp-openai@latest"
],
"env": {
"OPENAI_API_KEY": "your-api-key-here (get one from https://platform.openai.com/api-keys)"
}
}
}
}Use this tool when a user specifically requests to use one of OpenAI's models (gpt-4o, gpt-4o-mini, o1-preview, o1-mini). This tool sends messages to OpenAI's chat completion API using the specified model.
MCP OpenAI Server is a Model Context Protocol (MCP) server that integrates OpenAI’s chat models directly into Claude. It is built for users of Claude Desktop who want to tap into OpenAI’s models (gpt-4o, gpt-4o-mini, o1-preview, o1-mini) from within the same interface.
Install the Claude Desktop app, obtain an OpenAI API key, then add the provided JSON entry to your claude_desktop_config.json file. Once configured, simply ask Claude to query an OpenAI model—for example, “Can you ask o1 what it thinks about this problem?”—and the server handles the rest.
openai_chat) with required messages and optional modelNode.js 18 or higher and an OpenAI API key are required. The server also depends on the Claude Desktop app for runtime configuration.
On macOS, the JSON configuration lives at `~/Library/Application\ Support/Claude/claude_desktop_config.json`.
macOS is verified; Linux is not yet supported.
It exposes one tool, `openai_chat`, which accepts a required `messages` array and an optional `model` parameter (defaults to gpt-4o).
The server expects your OpenAI API key to be set in the environment variable `OPENAI_API_KEY` inside the MCP server configuration.

Agent skill: turn what your AI assistant knows about you into a personalized hypnosis session on hypnothera.ai
GoBuy gives AI agents marketplace-evidence trust scores. One call returns a 0–100 Evidence Score with observed/missing signals, freshness, and product context. Tools: • check_product_trust — inspect one Amazon, Walmart,
Open-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.
Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app
28-tool MCP server for web scraping, crawling, deep research & autonomous extraction — clean Markdown & structured JSON for Claude, Cursor & any MCP client. 1,000 free one-time credits, local-Ollama LLM support.
コメント