The data layer for AI that actually ships
Whether you're building agents, copilots, or data-connected apps, CData handles the integration so you don't have to
What are you building?
Three on-ramps. Pick the one closest to what you’re shipping today.
Scaffold an agent on live data
One npx command stands up a working LangChain, Google ADK, or Vercel AI SDK agent wired to Connect AI’s MCP server. Customize from there.
Build programmatic workflows with Python
DB-API 2.0. Connect, run SQL, get rows. Drop it into any Python app or notebook to read and write live data across hundreds of sources, with pandas, SQLAlchemy, and the tools you already use.
Build apps with your AI coding agent
The CData CLI gives Cursor, Claude Code, and other AI coding assistants the schemas and connection wiring they need to generate accurate, runnable code against CData drivers, so the app your agent writes works the first time.
Provision, fetch, and act—from a single prompt.
Connect AI’s Management MCP Server creates missing connections in-band. The Query MCP fetches your data. Your agents do the work. Watch the whole flow in the terminal.
Start the 5-min quickstartKeep exploring
References, community, and fundamentals. Where to go after the quickstart.
Browse by language
Per-language references and dev guides for shipping with CData connectors.
Get answers from CData devs
Ask questions, share patterns, and engage with CData developers and staff.
New to CData drivers?
Learn how the unified SQL interface, relational models, and caching work.
Start building with live system access
Get the forever free developer edition to connect your app or agent to hundreds of sources.