Google’s Cloud APIs Become Agent-Ready with Official MCP Support

TL;DR

Google supports the Model Context Protocol to enhance AI interactions across its services, introducing managed servers and enterprise capabilities through Apigee.

Key Points

Highlight key points with color coding based on sentiment (positive, neutral, negative).

Google has announced support for the Model Context Protocol (MCP) across its services, enhancing AI interactions.

Fully-managed MCP servers eliminate the need for developers to manage local servers, providing a consistent endpoint.

Integration with Apigee extends MCP capabilities to enterprise stacks, allowing use of APIs as discoverable tools.

The initiative includes built-in security features and observability tools like Google Cloud IAM and audit logging.

Google plans to roll out MCP support for additional services, expanding capabilities for developers.

Google has added support for the Model Context Protocol across several Google and Google Cloud services. The protocol is being introduced as a standardized interface for connecting AI models with data sources and operational tools.

Support includes fully managed MCP servers operated by Google. These servers provide remote endpoints for MCP-compatible clients and services. Initial availability covers Google Maps, BigQuery, Google Compute Engine, and Google Kubernetes Engine (GKE).

Each service exposes different categories of data and system interfaces through MCP. Google Maps exposes geospatial data. BigQuery exposes analytical datasets and query results. Google Compute Engine exposes infrastructure resources. Google Kubernetes Engine exposes container orchestration state and operations.

MCP support is also available through Apigee. The integration exposes APIs managed in Apigee as MCP-compatible tools. This includes APIs operated by organizations as well as third-party APIs configured within Apigee. Existing API controls, including access management and traffic governance, apply to MCP-exposed endpoints.

The MCP-enabled services include built-in security controls and observability features consistent with their existing service configurations. MCP endpoints are accessible through managed infrastructure operated by Google.

Additional Google and Google Cloud services are listed for future MCP support, including services related to cloud operations, databases, analytics, and security.

Stakeholder Relationships

An interactive diagram mapping entities directly or indirectly involved in this news. Drag nodes to rearrange them and see relationship details.

People

Key entities and stakeholders, categorized for clarity: people, organizations, tools, events, regulatory bodies, and industries.

David Soria Parra Member of Technical Staff, Anthropic

Co-creator of the Model Context Protocol (MCP) and contributor to its specification and adoption.

Organizations

Key entities and stakeholders, categorized for clarity: people, organizations, tools, events, regulatory bodies, and industries.

Google Technology Company

Announced official, fully-managed MCP server support across Google and Google Cloud services for AI agents.

Anthropic AI Research Company

Co-created the Model Context Protocol (MCP) and collaborated with Google on its specification and adoption.

Tools

Key entities and stakeholders, categorized for clarity: people, organizations, tools, events, regulatory bodies, and industries.

Model Context Protocol (MCP) Interoperability Protocol

A standard for connecting AI models to tools and data sources, enabling reliable multi-step agent workflows.

Apigee API Management Platform

Enables enterprises to expose, govern, and secure internal and third-party APIs as MCP-compatible tools for AI agents.

Industries

Key entities and stakeholders, categorized for clarity: people, organizations, tools, events, regulatory bodies, and industries.

Enterprise Software Industry

Enterprises can use MCP and Apigee to safely expose governed APIs and data to AI agents.

Timeline of Events

Timeline of key events and milestones.

Dec 11, 2025 Google announced support for MCP

Google introduced support for the Model Context Protocol (MCP) across its services, including fully-managed MCP servers and extended capabilities through Apigee for enterprise use.

Future Developments Planned MCP support expansion

Google plans to roll out MCP support for additional services such as Cloud Run, Cloud Storage, Cloud Resource Manager, AlloyDB, Cloud SQL, Spanner, Looker, Pub/Sub, Dataplex Universal Catalog, Google Security Operations, Cloud Logging, Cloud Monitoring, Developer Knowledge API, and Android Management API.