Build an MCP Server for Any API Using Connect AI

CData Connect AI uses the Model Context Protocol (MCP) to connect AI agents such as Claude, ChatGPT, Gemini, and Copilot directly to live API data, avoiding data replication and the delays associated with traditional extract-and-query pipelines. The described setup involves creating an API connection in Connect AI, defining tables and JSON response structures, selecting an authentication method, assigning permissions, and exposing the configured endpoint through Connect AI’s MCP server for use in an AI assistant. Using a public countries API as an example, the workflow enables agents to translate natural-language requests into structured API calls and return real-time results, such as country, population, capital, or currency information. The platform also provides autoscaling, query optimization, caching, monitoring, audit logs, and table-, column-, and row-level access controls, while supporting authentication management and enterprise compliance frameworks including SOC 2, ISO/IEC 27001, and GDPR.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.