Dappier (Real-Time Data Search)

Connects AI assistants to real-time, rights-cleared data from trusted sources through search and recommendation tools for retrieving web results, financial information, and personalized content without leaving the conversation interface.

Dappier MCP Server connects AI assistants to real-time, rights-cleared data from trusted sources through the Model Context Protocol. Developed by Amaan Mohammed at AI20Labs, it provides two main tools: real-time data search for retrieving web search results, financial information, and news; and AI recommendations for personalized content discovery with structured JSON responses. The server integrates with Claude Desktop through a simple configuration process and supports customizable parameters like similarity filtering and search algorithms, making it ideal for workflows requiring up-to-date information from premium publishers without leaving the conversation interface.