Enables Large Language Models to search proprietary and web sources for information and submit feedback on transactions via the Valyu Network API.
Valyu provides an MCP server implementation that facilitates interaction with the Valyu Network API, allowing LLMs to retrieve knowledge and provide feedback. It supports searching proprietary and web sources for information based on queries, search types, and pricing constraints. Additionally, it allows users to submit feedback on transactions with associated sentiment ratings. The server is easily deployable using Docker and configurable with environment variables, enabling seamless integration with platforms like Claude.app.
Key Features
01Enables feedback submission for transactions with sentiment analysis.
02Searches proprietary and web sources for information.
03Allows setting maximum price per thousand queries (CPM).
04Supports configurable search types (proprietary, web, or all).
05Docker-based deployment for easy setup.
Use Cases
01Integrating knowledge retrieval and feedback mechanisms into conversational AI applications.
02Enabling LLMs to access up-to-date information from proprietary and web sources.
03Providing a mechanism for users to submit feedback on transactions.
