Adjust MCP for mobile reporting

An Adjust MCP server connects aggregated mobile measurement data to AI clients through the Model Context Protocol. It lets an assistant discover reporting fields, run acquisition and cohort reports, and compare apps, networks, campaigns, or other dimensions.

Yes. Adjust offers an official MCP server in Early Access. It connects aggregated Adjust data to external AI environments and requires enablement from an Adjust representative before you generate an MCP token.

Yes. The current Adjust integration in Markifact is read-only. It selects apps, discovers report fields, and retrieves aggregated reports, but it does not create or change Adjust apps, links, campaigns, or attribution settings.

Markifact supports flexible aggregated reporting across performance, installs, engagement, spend, revenue, cohorts, retention, subscriptions, SKAdNetwork, ATT, limit-ad-tracking, assist, and fraud fields exposed by the connected reporting schema.

You can choose available metrics such as installs, spend, eCPI, revenue, ROAS, retention, or rejected installs and dimensions such as date, app, network, campaign, ad group, creative, country, operating system, device type, and platform.

Yes. Markifact includes cohort size and retention metrics for D1, D7, and longer monthly periods, plus cohort revenue, ad revenue, gross profit, ROI, and ROAS fields where available.

Yes. Reports can include rejected installs and reattributions, total rejection rates, and available reasons such as anonymous IP, click injection, invalid signature, distribution outliers, malformed advertising IDs, or too many engagements.

Yes. Available SKAdNetwork fields include installs, conversion values, null rates, coarse values, network spend, eCPI, modeled revenue, ROI, and ROAS metrics supported by the connected Adjust account.

Yes. The app-selection tool can list and select multiple accessible Adjust apps once, then reuse that selection across later reports.

Yes. You can set date ranges, metrics, dimensions, filters, sort orders, and row limits. Reports also support options for attribution types, attribution source, reattributed users, and ad-spend mode.

Yes. Reports can use mixed spend, network-reported spend, or Adjust-measured spend, depending on the question and data available in the connected account.

Markifact works with Claude, ChatGPT, Cursor, and other MCP-compatible clients through one hosted MCP connection.

Yes. Markifact can place Adjust data beside Google Ads, Meta Ads, TikTok Ads, Apple Ads, GA4, BigQuery, Google Sheets, CRM, commerce, and messaging sources in the same AI workflow.

Adjust's official MCP is a strong first-party option but is currently Early Access. The direct API offers maximum control but requires engineering work. Markifact provides hosted field discovery and flexible reporting inside the same MCP connection as the rest of your marketing stack.