Tech »  Topic »  Build data analytics agents faster with BigQuery’s fully managed, remote MCP server

Build data analytics agents faster with BigQuery’s fully managed, remote MCP server


Connecting AI agents to your enterprise data shouldn't require complex custom integrations or weeks of development. With the release of fully managed, remote Model Context Protocol (MCP) servers for Google services last month, you can now use BigQuery MCP server to give your AI agents a direct, secure, way to analyze data. This fully managed MCP server removes management overhead, enabling you to focus on developing intelligent agents.

MCP server support for BigQuery is also available via the open source MCP Toolbox for Databases, designed for those seeking more flexibility and control over the servers. In this blog post, we discuss and demonstrate the integrations of newly released fully managed, remote BigQuery Server, which is in preview as of January 2026. 

Remote MCP servers run on the service's infrastructure and offer an HTTP endpoint to AI applications.  This enables communication between the AI MCP client and the MCP ...


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