What are the prerequisites?
Python 3.10+, Claude Desktop (latest version), and a Valyu API key from the Valyu Exchange.
@valyu-network
基本情報
The Valyu MCP Server is a Model Context Protocol (MCP) tool that enables AI models to retrieve high-quality context from Valyu's API, including full search capabilities over Wikipedia, arXiv (great for finance, research, etc.), and web search.
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": {
"valyu-mcp": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}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。
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。
The Valyu MCP Server is a Model Context Protocol tool that enables AI models to retrieve high-quality context from Valyu's API, including full search over Wikipedia, arXiv papers, and web search.
Clone the repository, run the automated setup script or manually configure a virtual environment, install dependencies, set your Valyu API key in a .env file, and add the server to Claude Desktop's claude_desktop_config.json. Then start Claude Desktop to test the tool.
Python 3.10+, Claude Desktop (latest version), and a Valyu API key from the Valyu Exchange.
Sign up at the Valyu Exchange website and claim your $10 free credits to obtain an API key.
Start the server manually with `python valyu-mcp.py`, then open Claude Desktop and look for the `valyu-mcp` tool. Test with a query like "What are the latest papers on reinforcement learning?"
Ensure your virtual environment is activated before running the script.
Verify that your API key is valid and has sufficient credits.

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