Make MCP Server
for AI Agents
Connect your AI agent to StackOne's Make MCP server and give it 61 MCP tools out of the box. Auth, tool execution, and security all managed.
StackOne 
Coverage
61 Agent Actions
Create, read, update, and delete across Make — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Make MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Make tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Make call.
Tools Discovery →What is the Make MCP Server?
A Make MCP server lets AI agents read and write Make data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Make MCP server ships with 61 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All Make MCP Tools
Every action from Make's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
AI Agents
- Create AI Agent
Create a new AI agent.
- List AI Agents
Retrieve a list of all AI agents for a team.
- Get AI Agent
Retrieve an AI agent by its ID.
- Update AI Agent
Modify an existing AI agent by its ID.
- Delete AI Agent
Delete an AI agent by its ID.
Agents
- Create Agent
Create a new agent.
- List Agents
Retrieve a collection of agents for an organization.
- Get Agent
Retrieve agent details by ID.
- Update Agent
Update an agent's properties.
- Delete Agent
Remove an agent.
Connections
- Create Connection
Create a new connection for a team.
- List Connections
Retrieve a collection of all connections for a team.
- Get Connection
Retrieve details of a connection.
- Delete Connection
Delete a connection.
Data Structures
- Create Data Structure
Create a new data structure.
- List Data Structures
Retrieve a collection of all data structures for a team.
- Delete Data Structure
Delete a data structure.
Scenario Folders
- Create Scenario Folder
Create a new scenario folder.
- List Scenario Folders
Retrieve a collection of all scenario folders for a team.
Keys
- Create Key
Create a new key in your custom keychain.
- List Keys
Get the list of keys in your custom keychain.
Organizations
- Create Organization
Establish a new organization with specified configuration.
- List Organizations
Retrieve a collection of all organizations the user has membership in.
- Get Organization
Fetch comprehensive details about a specific organization.
- Update Organization
Modify organization name, timezone, or country settings.
- Delete Organization
Remove an organization and all associated teams.
Scenarios
- Create Scenario
Create a new scenario with data passed in the request body.
- List Scenarios
Retrieve a collection of all scenarios for a team or organization.
- Get Scenario
Retrieve all available properties of a scenario.
- Update Scenario
Update a scenario with a given ID by passing new values.
- Delete Scenario
Delete a scenario with a given ID.
Teams
- Create Team
Create a new team within an organization.
- List Teams
Get the list of teams in an organization.
- Get Team
Returns information about a team.
Team LLM Configurations
- Get Team LLM Configuration
Retrieve the LLM configuration for a team.
- Update Team LLM Configuration
Update the LLM configuration for a team.
Users
- List Users
Retrieve a collection of users for a team or organization.
- Update User
Update user details.
User Team Roles
- 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.
User Organization Roles
- 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.
Other (18)
- Create Device Request
Initiate a device creation request.
- List LLM Providers
Retrieve available LLM providers for AI agents.
- Get Connection Editable Schema
Get list of connection parameters that can be updated.
- List Devices
Get list of devices for a team.
- Get Organization Subscription
Retrieve current active subscription information.
- Get Organization Usage
Retrieve daily usage metrics for an organization.
- Get Team Usage
Retrieve daily usage metrics for a team over the past 30 days.
- Get Current User
Retrieve data about the authenticated user.
- List User Roles
Retrieve list of all existing user role names and IDs.
- List AI Agent Scenarios
Retrieve scenarios containing AI agent modules.
- Update Connection Data
Update connection parameters.
- Run AI Agent
Run an AI agent with messages.
- Rename Connection
Update a connection's name.
- Verify Connection
Verify the connection status.
- Verify Connection Scoped
Verify if a connection has the required scopes.
- Start Scenario
Start the specified scenario.
- Stop Scenario
Stop the specified scenario.
- Run Scenario
Run the specified scenario immediately.
Set Up Your Make MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Make in under 10 lines of code.
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}Platform Resources
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
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
MCP vs A2A: Architecture, Security, and When to Use Each
MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.
12 min
MCP vs API: What 200+ Connector Builds Taught Us
MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
14 min read
Make MCP Server FAQ
Does StackOne have a Make MCP server?
Make MCP server vs direct API integration — what's the difference?
How does Make authentication work for AI agents?
origin_owner_id.Are Make MCP tools vulnerable to prompt injection?
What is the context bloat of a Make agent and how do I avoid it?
Can I limit which actions my Make agent can access?
Can I create custom agent actions for my Make MCP server?
When should I NOT use a Make MCP server?
What AI frameworks and AI clients does the StackOne Make MCP server support?
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.