What is an MCP Server?

An MCP (Model Context Protocol) server acts as a bridge, allowing AI models to access and interact with external data sources and tools. It standardizes how applications provide context to LLMs (Large Language Models).

How does the Integrator MCP Server work?

The Integrator MCP Server connects to your Integrator account, identifies on-demand scenarios, parses input parameters, allows AI assistants to invoke scenarios, and returns scenario output as structured JSON.

What are the benefits of using the Integrator MCP Server?

Key benefits include turning Integrator scenarios into callable tools for AI assistants, maintaining complex automation logic within Integrator, and creating bidirectional communication between AI assistants and existing workflows.

What prerequisites are needed to use the Integrator MCP Server?

You need NodeJS, an MCP Client (like Claude Desktop App), and an Integrator API Key with scenarios:read and scenarios:run scopes.

How do I install the Integrator MCP Server?

Configure your MCP Client (e.g., Claude Desktop App) by adding the specified JSON configuration to the mcpServers section. Ensure you have the necessary environment variables set.

Where can I find my Integrator API Key and Team ID?

You can generate an API key in your Integrator profile. The Team ID can be found in the URL of the Team page within Integrator.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with enterprise data, build custom AI Agents with your LLM model, and create Multi-Agent Systems.

How does UBOS relate to the Integrator MCP Server?

While the MCP Server provides a bridge for specific integrations, UBOS offers a comprehensive platform for developing, managing, and deploying AI agents at scale.