What prerequisites are needed to run Onyx MCP Server?
You need Node.js v16 or higher, an Onyx instance with API access, and an Onyx API token.
@lupuletic
基本情報
概要はまだありません
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": {
"onyx-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@lupuletic/onyx-mcp-server",
"--client",
"claude"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server that connects any MCP-compatible client to an Onyx AI knowledge base, enabling semantic search and chat capabilities across your documents.
Install via npm or Smithery, configure environment variables ONYX_API_TOKEN and ONYX_API_URL, then add the server configuration to your MCP client (e.g., Claude Desktop or Cline). Once configured, use the search_onyx tool for targeted document search or the chat_with_onyx tool for comprehensive LLM + RAG answers.
You need Node.js v16 or higher, an Onyx instance with API access, and an Onyx API token.
Add a server entry to `~/Library/Application Support/Claude/claude_desktop_config.json` with the command `node`, the path to `build/index.js`, and environment variables `ONYX_API_TOKEN` and `ONYX_API_URL`.
It provides two tools: `search_onyx` for semantic search with configurable context retrieval, and `chat_with_onyx` for comprehensive LLM + RAG answers with optional chat session persistence.
Use Search when you need specific, targeted information and want to control how much context is retrieved. Use Chat when you need comprehensive answers that synthesize information from multiple sources.
`ONYX_API_TOKEN` (your API token) and `ONYX_API_URL` (the URL of your Onyx API, e.g., `http://localhost:8080/api`).
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