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Announcing StackOne Defender: leading open-source prompt injection guard for your agent Read More

Connectors Google Chat
Live 30 Actions

Google Chat integration for AI agents

Connect your AI agent to 30 production-ready Google Chat actions via MCP, A2A, or SDK — with managed agent tool auth, optimized execution, and built-in security.

StackOne
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Google Chat AI agent actions

30 production-ready actions for your agent to do more on Google Chat.

30 Actions
List Spaces - List spaces where the caller is a member
Get Space - Get a single space by resource name
Create Space - Create a new space
Update Space - Update an existing space
Delete Space - Delete a space
Find Direct Message - Find existing direct message with a specified user
Setup Space - Create a space and add specified users
List Members - List memberships in a space
Get Member - Get a single membership by resource name
Create Member - Create a membership for a user or Chat app
Update Member - Update a membership
Delete Member - Delete a membership
List Messages - List messages in a space
Get Message - Get a single message by resource name
Create Message - Create a message in a space
Update Message - Update an existing message
Patch Message - Partially update a message
Delete Message - Delete a message
List Reactions - List reactions for a message
Create Reaction - Add a reaction to a message
Delete Reaction - Delete a message reaction
Get Attachment - Get message attachment metadata
List Custom Emojis - List custom emojis visible to the authenticated user
Get Custom Emoji - Get custom emoji details
Get Space Read State - Get user's read state within a space
Update Space Read State - Update user's read state within a space
Get Thread Read State - Get user's read state within a thread
Get Space Notification Setting - Get space notification settings
Update Space Notification Setting - Update space notification settings
Get Current User - Get authenticated user information

Do More, Build Less.

Integration Infrastructure for Google Chat AI Agents.

Multiple Interfaces

Access integrations via API, AI SDKs, MCP & A2A.

Google Chat MCP server
Managed Authentication

Pre-built authentication UI.

Agent auth
Falcon Engine

Every Google Chat action runs on Falcon.

Agent Execution Engine
StackOne Defender
StackOne Defender Meta PG v1 Meta PG v2 DeBERTa 88.7% 67.5% 63.1% 56.9% Detection accuracy

88.7% prompt injection detection.

Prompt injection defense

"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

G2 - High Performer G2 - Easiest To Do Business With G2 - Users Love Us G2 - Users Most Likely To Recommend G2 - Easiest Admin

Product teams love building agent integrations with StackOne.

G2

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Google Chat agent integration resources

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.

15 min

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.

11 min

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.