
"Google is introducing fully managed, remote MCP servers. These will make it easier for developers to enable AI agents to work with Google Maps, BigQuery, Compute Engine, and Kubernetes. Google's existing API infrastructure now supports MCP and provides a uniform layer across all Google and Google Cloud services. Developers can point their AI agents or standard MCP clients to a globally consistent and enterprise-ready endpoint for Google services."
"An essential addition is the expansion to the broader enterprise stack via Apigee. This enables companies to unlock and manage their own developer-built APIs as well as external third-party APIs. The incremental rollout of MCP support starts with four services. Google Maps Grounding Lite connects AI agents to trusted geospatial data and provides access to up-to-date information about locations, weather forecasts, and route details. An AI assistant can use this to answer questions such as "How far is the nearest park from this rental property?""
"The BigQuery MCP server enables agents to interpret native schemas and execute queries on enterprise data without the security risks or latency of moving data to context windows. Data stays in place and remains subject to governance. Google Compute Engine (GCE) enables agents to manage infrastructure workflows autonomously. By offering capabilities like provisioning and resizing as discoverable tools, agents can handle everything from initial builds to day-2 operations, dynamically adjusting to workload demands."
Google provides fully managed remote MCP servers that create a uniform API layer across Google and Google Cloud services. Developers and AI agents can connect to a globally consistent, enterprise-ready endpoint for Maps, BigQuery, Compute Engine, and Kubernetes. Apigee integration extends MCP to the broader enterprise stack, enabling companies to expose and manage internal and third-party developer-built APIs. Google Maps Grounding Lite supplies trusted geospatial and real-time location data, weather forecasts, and routing details for agent grounding. BigQuery MCP allows agents to query enterprise data in place under governance. GCE and GKE MCP servers enable autonomous infrastructure and Kubernetes workflow management with built-in security and observability integrations.
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