Onyx MCP Server
@MCP-Mirror
Onyx MCP Server について
Mirror of
基本情報
設定
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": {
"lupuletic_onyx-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@lupuletic/onyx-mcp-server",
"--client",
"claude"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Onyx MCP Server?
Onyx MCP Server is a Model Context Protocol server that connects MCP-compatible clients to Onyx AI knowledge bases. It enables semantic search, context retrieval, and chat capabilities across your documents, acting as a bridge between MCP clients and the Onyx API.
How to use Onyx MCP Server?
Install via Smithery (npx -y @smithery/cli install @lupuletic/onyx-mcp-server --client claude) or manually by cloning the repository, installing dependencies, building, and setting the environment variables ONYX_API_TOKEN and ONYX_API_URL. Configure MCP clients (e.g., Claude Desktop, Cline) with the server command and environment variables. After setup, use the search_onyx and chat_with_onyx tools.
Key features of Onyx MCP Server
- Enhanced semantic search with LLM relevance filtering
- Context window retrieval (chunks above and below match)
- Full document retrieval option
- Chat integration using Onyx’s LLM + RAG API
- Configurable document set filtering
Use cases of Onyx MCP Server
- Access organizational knowledge bases through any MCP interface
- Help customer support agents quickly find relevant information
- Conduct deep research across company documents
- Provide access to training materials and documentation
- Ensure teams have the latest policies and procedures
FAQ from Onyx MCP Server
What are the prerequisites for Onyx MCP Server?
You need Node.js v16 or higher, an Onyx instance with API access, and an Onyx API token.
How do I configure environment variables?
Set ONYX_API_TOKEN and ONYX_API_URL (defaults to http://localhost:8080/api).
What is the difference between the search and chat tools?
Use search for specific, targeted information with controlled context retrieval. Use chat for comprehensive answers that synthesize information from multiple sources.
How do I maintain conversation context across chat interactions?
After the first chat call, the response includes a chat_session_id. Pass this ID in subsequent calls to maintain context.
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