How to Connect LLMs to Real-Time SaaS Data with Unified.to MCP Server

Unified's MCP server streamlines the process of connecting Large Language Models (LLMs) to real-time SaaS data without the need for custom business-logic code for each integration. By allowing LLM APIs such as OpenAI to directly access and interact with customer data, the workflow becomes more efficient and less complex. The server connects applications using an HTTP endpoint and requires authentication via a token, which should remain private. Developers can leverage the `mcp-use` Python package for easy integration with the MCP server, facilitating the use of tools like 'fetch candidate' or 'score candidate' in real-time. This setup enables LLMs to perform automated actions on data, such as candidate assessment, without requiring backend glue code, as demonstrated with integrations using APIs from OpenAI, Anthropic, Google Gemini, and Cohere.