IBM Data Intelligence MCP Server provides a modular and scalable implementation of the Model Context Protocol, purpose-built to integrate with IBM Data Intelligence services. It enables secure and extensible interaction between MCP clients and IBM’s data intelligence capabilities. The server supports both stdio mode for local development (direct MCP client I/O) and HTTP/HTTPS transports for remote clients, enabling flexible deployment across SaaS and CPD environments. It can be installed via PyPI (ibm-watsonx-data-intelligence-mcp-server) for quick setup or run with uv/uvx in stdio mode. Configuration is driven by environment variables or a .env file, including DI_SERVICE_URL, DI_ENV_MODE, REQUEST_TIMEOUT_S, LOG_FILE_PATH, and optional authentication parameters (DI_APIKEY, DI_USERNAME, DI_AUTH_TOKEN). For http/https mode, the server accepts standard headers like x-api-key, username, and authorization. The README provides detailed client configurations for Claude Desktop, VS Code Copilot, Watsonx Orchestrate, and IBM Bob, with stdio and remote setups. TLS/SSL guidance is available via SERVER_HTTPS.md and SSL_CERTIFICATE_GUIDE.md. This MCP Server is designed to enable secure, configurable integration between MCP clients and IBM Data Intelligence services, with tooling and prompts to support developers and data practitioners.