Whether you’re automating internal operations or building customer-facing experiences, Google-managed MCP servers let your models do more than just chat; they provide the secure connections needed to take direct action across your Google Cloud services. Here are a few ways you can leverage them today:
1. Infrastructure, operations, and security
Agents can help move beyond simple monitoring to active orchestration, handling maintenance and monitoring while prioritizing critical security events. Here are a few examples of what this looks like in practice:
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Automated lifecycle management (ALM): Provision and decommission resources dynamically based on real-time application demand using GKE, Cloud Run, or GCE MCP servers.
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Self-healing systems: Empower agents to monitor events via Cloud Logging and Monitoring, triggering recovery actions like traffic rerouting or deployment rollbacks before users are impacted.
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Security orchestration: Build sophisticated workflows that use Google Security Operations to automatically investigate and respond to emerging threats.
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Fleet and network ops: Use the Android Management API MCP server to query device health in natural language, or utilize Network Management API MCP server to automate complex diagnostic workflows and surface actionable insights instantly.
2. Databases, analytics, and storage
To be effective, an agent must be grounded in enterprise truth — the live, operational data residing in your production systems. This enables agents to interact with your data ecosystem with:
3. Services and apps
Beyond raw data, agents require geographic context, technical documentation, and productivity tools to operate effectively. Here are ways agents can leverage these tools to perform more sophisticated and helpful tasks:
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Developer assistance: The Developer Knowledge API MCP server grounds AI agents in Google’s official developer documentation, allowing tools to reference up-to-date code samples and guides to solve complex technical issues as they happen.
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Hyper-local contextual intelligence: Use Maps Grounding Lite MCP server to provide agents with trusted Google Maps data. Deliver high-precision responses for routing, weather, and local points of interest, minimizing hallucinations in travel and real-estate applications.
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Conversational experience design: The Gemini Enterprise Agent Platform MCP server empowers agents to act as AI supervisors, programmatically managing the full lifecycle of other models, prompts, and endpoints. Additionally, the Customer Experience Agent Studio MCP server enables AI-assisted workflows for building, modifying, and maintaining customer experience agents.
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Productivity and commerce: Streamline team collaboration with Workspace MCP Servers for Gmail, Drive, Calendar, People API, and Chat by allowing agents to summarize Gmail threads, draft Docs, manage Calendar invites and facilitate Google Chat workflows to streamline team productivity. Additionally, with Google Pay and Wallet MCP server, you can integrate payments and digital passes into your agentic workflows, allowing AI to assist with onboarding, troubleshooting integrations, and monitoring checkout performance.
By unifying these capabilities with MCP, it’s easier than ever to build agents that don’t just chat, but actually take actions on your behalf.
