Google Calendar Integration for AI Agents
Connect your AI agent to 37 QA'd Google Calendar actions via MCP, A2A, or SDK, with agent authentication, tool-calling execution, and security built-in, plus 5 events to subscribe to.
Google Calendar AI Agent Actions
37 production-ready actions for your agent to do more on Google Calendar.
Google Calendar Webhook Events
5 real-time Google Calendar events your AI agent can subscribe to.
- Channel Sync Responds with 200 OK to the sync message Google sends when a notification channel is created.
- Events Changed Fired when an event on the user's primary calendar is created, updated, or deleted.
- ACL Changed Fired when a sharing rule on the user's primary calendar is created, updated, or deleted.
- Calendar List Changed Fired when a calendar is added to, changed in, or removed from the user's calendar list.
- Settings Changed Fired when one of the user's Google Calendar settings changes.
Do More, Build Less
Integration Infrastructure for Google Calendar AI Agents
"What impressed us most about StackOne is its ambition and clarity. They're creating infrastructure that modern software and the entire AI agent ecosystem can rely on. The depth of secure integrations, the pace of delivery, and the team's foresight into AI's future uniquely position StackOne to redefine this category."
Luna Schmid, Partner at GV
"We've been impressed by how quickly and deeply StackOne integrates with complex enterprise systems -- and now, with their focus on agent-to-agent interoperability, they're unlocking even more powerful use cases for customers. StackOne delivers all of the above in a universal layer -- without compromise."
Barbry McGann, SVP at Workday Ventures
Google Calendar AI agent integration resources
Webhooks for AI agents: why agentic workflows need them purpose-built
AI agents can act the moment a system changes, using webhooks. But webhooks built for software hit three limits in agentic workflows. Here is how to fix each.
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Agentic Context Engineering: Why AI Agents Kill Their Own Context Windows
AI agents exceed their context windows without knowing it. Six failure patterns and seven survival architectures for agentic context engineering.
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MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
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Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.