Connecting Adjust data to your AI workflows with the Adjust MCP server

Teams that are already using AI tools internally often want to work with their data in those same environments, rather than moving between separate systems. That usually means finding a way to access performance data where analysis, automation, reporting, and decision-making are already happening.

The Adjust MCP (Model Context Protocol) server is designed to support that setup. It provides a data pipeline that connects Adjust data to external AI systems, so it can be queried and used outside of the Adjust interface, within tools your team already relies on.

The Adjust MCP server links Adjust data to external AI tools and assistants that support the Model Context Protocol. It is intended for organizations that already run internal AI workflows and want to integrate Adjust data into those workflows, rather than relying solely on dashboards or standalone reporting environments.

This means you can connect the Adjust MCP server to systems such as Claude, development tools like Cursor, or orchestration platforms such as n8n. Once connected, those systems can request and use Adjust data directly, without requiring a separate interface or manual data transfer.

After connecting the MCP server, Adjust data becomes accessible within your AI environment in the same way as other connected sources. For example, a user can query performance data by asking a question through an AI assistant, such as “How many installs were recorded yesterday?”, and receive a response based on Adjust data.

Beyond simple queries, the same data can be retrieved and passed into other processes. Because the MCP server is designed to work alongside other MCP-compatible integrations, it can be combined with additional tools in the same workflow. This allows Adjust data to be used together with inputs from other systems, depending on how your environment is set up and what kind of workflows you are running.

In short, all reasoning, processing, and execution take place within your own AI environment, using your chosen providers and accounts. This means that you define how the data is interpreted, combined, analyzed, or acted upon using the Adjust MCP server as a connection point, rather than a destination for analysis.

The Adjust MCP server is intended for teams that are already working with AI tools, internal assistants, or automated workflows, and want to include and automate the retrieval of Adjust data as part of those systems. In these cases, it extends what is already in place rather than introducing a new way of working.

For teams that prefer to work directly within a user interface, Adjust Growth Copilot provides a separate option. It allows users to query data in plain language, generate reports, and explore performance without setting up integrations, all directly within Adjust. Both approaches use the same underlying data, but support different ways of accessing and working with it.

Learn more about Adjust MCP, our AI Solutions or request a demo today to see first hand how we can grow your app business.