Integrator MCP Server

Overview

The Integrator MCP Server is a bridge that turns the automation workflows of the Integrator platform into first‑class tools for AI assistants. By exposing On‑Demand scenarios as callable endpoints, it lets an assistant such as Claude trigger complex business logic—data transformations, API orchestration, or internal system updates—directly from a conversation. This eliminates the need for developers to write custom wrappers or REST APIs, allowing them to keep all automation logic inside Integrator while still making it accessible through natural language commands.

At its core, the server performs four key functions. First, it authenticates with an Integrator account using a user‑supplied API key and retrieves the list of scenarios that are marked for on‑demand execution. Second, it inspects each scenario’s input schema and surfaces clear, machine‑readable descriptions of the required parameters. This ensures that an AI assistant can present users with appropriate prompts or default values when invoking the tool. Third, it accepts execution requests from an MCP client, maps the supplied arguments to the scenario’s inputs, and triggers the workflow. Finally, it captures the output of the scenario—typically a JSON payload—and returns it to the assistant so that downstream logic or user presentation can be handled seamlessly.

For developers, this server offers several compelling advantages. It preserves the integrity of existing automation pipelines: you can continue to evolve and version scenarios in Integrator without worrying about breaking assistant integrations. The structured JSON responses enable robust error handling and data manipulation within the assistant’s own logic, supporting advanced use cases like conditional branching or iterative refinement. Because the server communicates over MCP, it fits naturally into any AI workflow that already leverages this protocol, from single‑session desktop assistants to large‑scale orchestration engines.

Typical real‑world scenarios include automating customer support workflows (e.g., creating tickets, updating status), synchronizing data across SaaS applications, or triggering CI/CD pipelines. In a marketing context, an assistant could pull campaign metrics from Integrator and generate insights on demand. Even simple tasks—such as sending a pre‑configured email or updating a spreadsheet—can be encapsulated in an Integrator scenario and made available to the assistant, dramatically reducing friction for end users.

Because the server is a lightweight Node.js process that only requires an API key and team identifier, it can be deployed locally or in the cloud with minimal overhead. Its design prioritizes security and clarity: only scenarios explicitly exposed for on‑demand execution are discoverable, and parameter validation is handled by Integrator’s own schema engine. This makes the Integrator MCP Server a robust, developer‑friendly solution for integrating sophisticated automation logic into conversational AI experiences.