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Live 58 Actions

Make Integration for AI Agents

Connect your AI agent to 58 QA'd Make actions via MCP, A2A, or SDK, with agent authentication, tool-calling execution, and security built-in.

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Make AI Agent Actions

58 production-ready actions for your agent to do more on Make.

58 Actions
List AI Agents - Retrieve a list of all AI agents for a team.
Get AI Agent - Retrieve an AI agent by its ID.
Create AI Agent - Create a new AI agent.
Update AI Agent - Modify an existing AI agent by its ID.
Delete AI Agent - Delete an AI agent by its ID.
Run AI Agent - Run an AI agent with messages.
List LLM Providers - Retrieve available LLM providers for AI agents.
List Agents - Retrieve a collection of agents for an organization.
Get Agent - Retrieve agent details by ID.
Create Agent - Create a new agent.
Update Agent - Update an agent's properties.
Delete Agent - Remove an agent.
List Connections - Retrieve a collection of all connections for a team.
Get Connection - Retrieve details of a connection.
Delete Connection - Delete a connection.
Rename Connection - Update a connection's name.
Verify Connection - Verify the connection status.
Get Connection Editable Schema - Get list of connection parameters that can be updated.
Update Connection Data - Update connection parameters.
Verify Connection Scoped - Verify if a connection has the required scopes.
List Data Structures - Retrieve a collection of all data structures for a team.
Create Data Structure - Create a new data structure.
Delete Data Structure - Delete a data structure.
List Devices - Get list of devices for a team.
Create Device Request - Initiate a device creation request.
List Scenario Folders - Retrieve a collection of all scenario folders for a team.
Create Scenario Folder - Create a new scenario folder.
List Keys - Get the list of keys in your custom keychain.
List Organizations - Retrieve a collection of all organizations the user has membership in.
Get Organization - Fetch comprehensive details about a specific organization.
Create Organization - Establish a new organization with specified configuration.
Update Organization - Modify organization name, timezone, or country settings.
Delete Organization - Remove an organization and all associated teams.
Get Organization Subscription - Retrieve current active subscription information.
Get Organization Usage - Retrieve daily usage metrics for an organization.
List Scenarios - Retrieve a collection of all scenarios for a team or organization.
Get Scenario - Retrieve all available properties of a scenario.
Create Scenario - Create a new scenario with data passed in the request body.
Update Scenario - Update a scenario with a given ID by passing new values.
Delete Scenario - Delete a scenario with a given ID.
Start Scenario - Start the specified scenario.
Stop Scenario - Stop the specified scenario.
Run Scenario - Run the specified scenario immediately.
List Teams - Get the list of teams in an organization.
Get Team - Returns information about a team.
Get Team Usage - Retrieve daily usage metrics for a team over the past 30 days.
Get Team LLM Configuration - Retrieve the LLM configuration for a team.
Update Team LLM Configuration - Update the LLM configuration for a team.
Get Current User - Retrieve data about the authenticated user.
List Users - Retrieve a collection of users for a team or organization.
Update User - Update user details.
List User Roles - Retrieve list of all existing user role names and IDs.
List User Team Roles - Get team roles of a specific user.
Get User Team Role - Get user role detail in a specific team.
Update User Team Role - Update the user role in a team.
List User Organization Roles - Get list of all organization roles for a user.
Get User Organization Role - Get user role detail in a specific organization.
List AI Agent Scenarios - Retrieve scenarios containing AI agent modules.

Do More, Build Less

Integration Infrastructure for Make AI Agents

Multiple Interfaces

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

Make MCP server
Managed Authentication

Pre-built authentication UI.

Agent auth
Falcon Engine

Every Make 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

Make Agent Integration Resources

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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.