MCP Server and Agent for CDLI

This project improves access to the CDLI database by enabling natural language queries instead of complex search forms and syntax. It allows researchers and students to explore the database more easily without needing detailed knowledge of its structure. The system consists of an MCP server that translates plain English queries into structured CDLI API calls, along with an AI-powered research workspace embedded on the CDLI website. Users can search, retrieve, and explore data through a simple chat interface, and generate structured research outputs. Key deliverables include a production-ready MCP server, an interactive research interface, a guided research paper generation workflow, and comprehensive documentation with testing support.