Tenjin MCP Server: Ask, Analyze, Act.

. MCP (Model Context Protocol) Server allows AI assistants to securely connect to external applications and retrieve live information. Instead of relying only on uploaded documents or pasted data, AI can access your Tenjin account directly to answer questions using current attribution, campaign, and monetization data.

The Tenjin MCP Server supports modern AI assistants that implement the Model Context Protocol, including Claude, Codex, Cursor, and any other compatible AI tool. Support continues to expand as more AI platforms adopt MCP.

You can query attribution data, campaign performance, ad spend, ROI, ROAS, LTV, retention, cost aggregation, apps, ad networks, campaigns, and many other reporting metrics available in your Tenjin account.

No. The MCP Server connects directly to your Tenjin data, so your AI assistant can retrieve live information without copying screenshots, downloading CSV files, or manually exporting reports.

Yes. You can ask your AI to group or filter results by campaign, country, app, ad network, Site ID, date, cohorts, and other supported reporting dimensions using natural language.

Rather than forcing AI to guess metric names or API parameters, Tenjin provides discovery tools that let assistants search available metrics, documentation, campaigns, callback macros, and other resources before answering questions. This helps produce more accurate responses.

Yes. The Tenjin MCP Server uses OAuth authentication with short-lived user permissions instead of exposing permanent API keys. Every AI session is tied to an authenticated user account, and access can be revoked at any time.

Yes. The MCP Server works with the same attribution, cost aggregation, reporting, and campaign data already available in your Tenjin account. It extends your existing workflows by making that information accessible through AI.

Yes. You can ask your AI assistant to add and configure apps, create, update, or delete campaigns, create new campaign tracking links, find existing tracking links, configure S2S callbacks, and manage Site ID filters. You can also preview changes with a dry run before applying them.

Tenjin Skills are ready-made workflow guides that teach compatible AI assistants how to complete common Tenjin tasks, such as setting up campaigns or integrating the Tenjin SDK. 

After installing the relevant Tenjin plugin, simply describe what you want to do in plain language. Your AI assistant automatically uses the appropriate Skill and connects to the MCP Server when it needs live Tenjin data or permission to perform an action.

Raw APIs are designed for developers, not AI assistants. The Tenjin MCP Server simplifies complex API workflows into AI-friendly tools, returns concise responses that use fewer tokens, and provides built-in guidance for common mobile marketing tasks. The result is faster, more reliable AI interactions with fewer errors.