Under the Hood: How CData MCP Servers Connect AI to Enterprise Data and How to Build Your Own

CData MCP Servers are Windows-based local services that wrap CData drivers to give AI clients such as Claude Desktop standardized Model Context Protocol access to enterprise data sources. They provide consistent tools for discovering schemas, tables, columns, procedures, and parameters, then querying data through SQL or executing source-specific stored procedures without custom integrations for each system. The servers dynamically retrieve metadata according to active user permissions, while optionally using caching to improve responsiveness, and translate diverse systems such as CRMs and ERPs into a common tabular SQL model. Performance features including query pushdown, parallel paging, and streaming support interactive workloads with large or complex datasets. Security is based on in-place data access, authenticated user permissions, centralized credential configuration, and support for OAuth SSO, Kerberos, and basic authentication, alongside SOC 2 Type II, ISO 27001, and GDPR compliance. CData initially offers the servers as a free beta for Windows and provides logging for administration and diagnostics, as well as an open-source read-only MCP server built on its JDBC drivers for developers to adapt.

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