Integration App MCP Server

The Integration App MCP Server bridges the gap between the Model Context Protocol and the rich ecosystem of tools that can be built in Integration App. By exposing each Action defined within an Integration App workspace as a formal MCP tool, the server lets AI assistants such as Claude discover and invoke these actions in real‑time. This eliminates the need for developers to write custom adapters or wrappers for every new service, enabling a plug‑and‑play workflow where adding a new API integration simply requires creating an Action in Integration App and refreshing the server.

At its core, the server fetches the list of available Actions from a single Integration App integration and publishes them as MCP tools with all necessary metadata (name, description, parameters). The tool definitions are generated automatically from the Action schema, so any changes made in Integration App—such as adding a new field or updating an endpoint—are reflected immediately in the MCP interface. This tight coupling keeps the AI’s knowledge of available capabilities current without manual intervention.

Key features include:

• Dynamic tool discovery: Tools are pulled live from Integration App, ensuring the assistant always sees the latest set of actions.
• Secure authentication: The server requires an Integration App token and integration key, keeping API access scoped to the intended workspace.
• Simple deployment: A single environment variable configuration is all that’s needed to expose tools from one integration, making it straightforward to spin up a dedicated server per integration or extend the code for multi‑integration support.
• Rich metadata: Each tool carries a description and structured parameter list, allowing the assistant to explain usage and validate input before execution.

Real‑world scenarios that benefit from this server include automating CRM updates, triggering marketing workflows, or orchestrating data pipelines—all through natural language commands. For example, a sales rep could ask Claude to “create a new contact in HubSpot with name and email,” and the assistant would call the corresponding Integration App Action without any additional coding. In a data‑engineering context, developers can chain multiple Actions to pull, transform, and load data across services, while the MCP server manages the orchestration behind the scenes.

By integrating seamlessly with existing AI workflows, the Integration App MCP Server reduces friction for developers looking to leverage a wide array of third‑party services. Its ability to expose complex, authenticated APIs as first‑class tools empowers assistants to perform sophisticated tasks, turning conversational prompts into actionable operations across the entire integration ecosystem.