Skip to main content
The Model Context Protocol (MCP) is an open protocol that standardizes how AI applications provide context to Large Language Models (LLMs). StackOne provides production-ready MCP servers for each linked account, giving your AI agents direct access to all StackOne platform actions across 100s of integrations and thousands of tools. See the complete list at stackone.com/integrations. Simplified Authentication: Authentication to third-party providers is completely abstracted - you only need your StackOne API key and account ID to access all integrated systems. Accounts must be linked beforehand through the StackOne Integration Hub or via auth links.

​
StackOne’s Action Layer - MCP ready

StackOne gives you access not only to remote-hosted MCP servers, but also to other flexible interfaces for integrating actions into your AI Agents, whatever stack you use to build your agent:
Use the MCP server, the Actions RPC endpoint, or Unified API endpoints or even A2A compatible Agent Cards, all leveraging the same linked account and authentication. You can also access the StackOne AI Toolset to use specialized LLM tools.
Enhance and dynamically optimize your agent’s toolset with Meta Tools for real-time discovery, curation, and augmentation of available actions. Every tool has structured input/output schemas and documentation, making it easy for both developers and LLMs to understand how and when to use each capability, so your agent can adapt as your use cases grow without overwhelming the model.
Easily toggle tools on or off, customize your toolset, or create your own connectors using StackOne’s Integration Engine and Integration Agent.
StackOne tools aren’t necessarily direct wrappers to single API endpoints—many are mapped to high-value, context-optimized actions tailored to common business use cases, making them efficient and LLM-friendly, even if the underlying provider API is large, complex and easily misunderstood by LLMs.
StackOne empowers your agents to discover, understand, and execute real-world business actions with minimal setup and maximal flexibility, all secured by unified, enterprise authentication.

​
How StackOne MCP Works

The StackOne MCP Server dynamically generates its tool catalog based on your account’s configured integrations and enabled actions in the StackOne dashboard.

​
Key Features

  • Account-Specific: Each linked account gets its own MCP server endpoint
  • Streamable HTTP Transport: Uses the modern HTTP-based MCP transport (not SSE)
  • Complete Platform Access: All StackOne actions available as MCP tools, including custom integrations
  • Action Selection Control: Respects integration configuration - only enabled actions are returned
  • Production Ready: Authentication, rate limiting, and security built-in

​
Getting Started

Quickstart

Get started with cURL examples and basic MCP calls

Authentication

Learn about headers, authentication, and security

App Guides

Connect Claude, ChatGPT, Cursor, and other LLM clients

Framework Guides

Integrate with SDKs like OpenAI Agents, Vercel AI, and more

​
Integration Options

StackOne MCP can be integrated in two ways, depending on your use case:

​
Applications & IDEs (No-Code/Low-Code)

Use these when you want to directly interact with integrated systems through conversational AI without writing code, eg. Claude Desktop, n8n

​
SDKs & Frameworks (Programmatic)

Use these when building custom AI applications, agents, or products that need to integrate with multiple systems. This pertains to libraries that support the MCP protocol, such as Anthropic SDK, Pydantic AI, OpenAI Agents SDK, LangChain, CrewAI, Vercel AI SDK and more.

​
Next Steps

All communication uses Streamable HTTP transport, not Server-Sent Events (SSE). This provides better reliability and easier debugging for production deployments.
Ready to connect your AI agents to StackOne? Start with our Quickstart Guide or jump directly to your preferred client or framework. For more information about StackOne’s platform capabilities, see our AI Tools documentation.