What are the prerequisites?
Python 3.10+, Claude Desktop (latest version), and a Valyu API key from the Valyu Exchange.
@valyu-network
Basic information
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.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"valyu-mcp": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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