Airbyte, creator of the open data movement platform, is offering new capabilities that enable users to chat directly with their data and use agents, along with AI assistants, to monitor Airbyte pipelines, diagnose, and resolve issues.
According to the company, the new Model Context Protocol (MCP) server added to Airbyte’s data movement platform makes all of this possible—providing a natural-language interface to use with AI assistants such as Claude, Cursor, and ChatGPT.
“MCP technology enables all sorts of possibilities for data engineers, who can now simply direct questions about syncs and data sources to AI agents,” said Michel Tricot, co-founder and CEO of Airbyte. “The result is a superior experience and ability to do more faster. This fulfills our users’ requests for MCP, which is the most requested feature we’ve seen in our company’s more than 5-years history.”
For users of Airbyte Cloud and Airbyte Enterprise Flex, the MCP server also provides access to the new Airbyte context layer. The context layer supports direct queries on Snowflake and BigQuery destinations, with data synced from more than 50 Airbyte source connectors.
Additionally, Airbyte users managing data pipelines can ask when a dataset last synced successfully, identify and fix broken syncs, create and modify data connections, and more, Airbyte said.
The open source Airbyte MCP server is available across Airbyte Cloud, Airbyte Enterprise Flex, and self-managed Airbyte deployments.
The MCP server establishes an agent-accessible operational layer for Airbyte. Initial capabilities focus on connecting agents securely, troubleshooting data syncs, monitoring connection health, and performing governed corrective actions. Airbyte plans to expand capabilities to support conversational management of sources, destinations, connections, jobs, users, workspaces, and other Airbyte resources, said the vendor.
The Airbyte MCP Server is available now.
For more information about this news, visit www.airbyte.com.