# MCP Server Source: https://tenjin.com/mcp-server/ ###### MCP SERVER FOR MOBILE ANALYTICS # Tenjin MCP Server: Ask, Analyze, Act. Tenjin is the first MMP to give AI assistants MCP write access. Analyze mobile performance, then securely create, update, or delete campaigns, apps, callbacks, and Site ID filters without leaving your AI assistant. [Get Started Free]() [Book a Demo]() ###### Powering Mobile Publishers Around the World #### Get Answers From Your Mobile Growth Data Ask questions about ROAS, LTV, retention, ad spend, campaign performance, and attribution across apps, countries, channels, and cohorts. Tenjin turns your question into the right report, so you can investigate performance in plain language. [Image: tenjin mcp server] #### Turn Performance Insights into Action Once you know what needs attention, take the next step in the same conversation. Create, update, or delete campaigns, apps, callbacks, and Site ID filters through your AI assistant. Preview any change with a dry run before applying it, or complete bulk actions with clear results for every item. [Image: tenjin mcp server 2] [Image: tenjin mcp server 3] ###### Discover the Right Data, Guess Less Tenjin helps AI discover available metrics, campaigns, reporting dimensions, documentation, and callback macros before running a request. This produces more accurate answers and fewer hallucinations. [Image: tenjin mcp server 4] ###### Built for AI Workflows, Not Just APIs Most APIs weren’t designed for AI. The Tenjin MCP Server combines complex workflows into task-oriented tools and returns concise, AI-friendly responses that require fewer API calls, reduce token usage, and keep conversations focused. [Image: tenjin mcp server 5] ###### Hosted, Secure, and Always Up to Date As a hosted service with full plugin support, the Tenjin MCP Server doesn’t need maintenance. Benefit from automatic updates and an ever-expanding library of workflows and AI environments. Your team stays up to date with the newest features, without any additional configuration. ### Customer Success Stories #### Kooapps' Journey from Indie Studio to Major Publisher with Tenjin In this case study, we take you through the journey of Kooapps as they scale from an indie studio to a major publisher with Tenjin. Here is a summary of the results they achieved using Tenjin’s ad attribution, session-based ad revenue LTV, and DataVault: - 8x Revenue Growth - 3x LTV Increase [Image: CK Wang - Kooapps CEO] Chun-Kai WangCo-founder & CEO at Kooapps Revenue is up 8x since we first used Tenjin a few years ago and paid UA spend is 30x so Tenjin has completely transformed our business. We love Tenjin! [Read More]() #### How Mexico’s Top Mobile Publisher Boosted Their Portfolio LTV by 35% – A HyperBeard Case Study HyperBeard is the largest mobile game developer and publisher in Mexico, with 210 Million+ downloads on AppStore and PlayStore. They specialize in cute casual idle games targeting a young, adult, female demographic. - 20% Increase in ROAS - 35% Portfolio LTV (cross-promo) Uplift Alex KozachenkoCo-founder & CEO at HyperBeard We love using DataVault. Historically, we were just using whatever was available on the dashboard with whatever MMP we were using. But obviously, that’s pretty limited. DataVault allows us to expand beyond the Tenjin dashboard. It’s great for creative performance tracking, and Portfolio LTV analysis. [Read More]() #### Ad Revenue Callbacks and ROAS campaigns Increased YOMI Studio’s ARPDAU by 60% – Case Study In this case study, we take you through the journey of YOMI Studio as they enter an unprecedented phase of hyper-growth after incorporating Tenjin’s Ad Revenue Callbacks and ROAS Campaigns. Here is a summary of what they achieved: - 60 Hours per Month of Co-founder’s Time Saved - 60% ARPDAU Uplift [Image: Light Nguyen - YOMI Studio Co-founder] Light NguyenCo-founder at YOMI Studio Combining Tenjin Ad Revenue Callbacks and ROAS campaigns has enabled us to spend less time on optimization but still scale campaigns at will, moving YOMI into an unprecedented phase of hyper-growth. [Read More]() #### How to Increase ROAS and LTV for SKAN Campaigns with TikTok & Tenjin – A Tokyo Tsushin Case Study Tokyo Tsushin partnered with TikTok and Tenjin to easily identify users who would trigger valuable in-app events such as purchase, subscribe, and level completion, while controlling costs. - 33% Increase in Day 7 ROAS - 24% Increase in Day 3 LTV [Image: Light Nguyen - YOMI Studio Co-founder] Kasuga YachiMarketing Section Manager at Tokyo Tsushin Launching scalable SKAN campaigns is definitely a challenge. Thanks to the combination of TikTok and Tenjin, we were able to run goal-oriented SKAN campaigns at scale. [Read More]() ## Learn More About Tenjin’s MCP Server - ###### Read 1. [Getting Started with Tenjin’s MCP Server]() 2. [Tenjin’s MCP Server: Query Your Data Directly]() 3. [How to Use AI Assistants for SDK Integration]() - ###### Frequently asked questions 1. [What is an MCP Server?]() An [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. 2. [Which AI assistants work with the Tenjin MCP Server?]() 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. 3. [What data can I query?]() 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. 4. [Do I need to export dashboards first?]() 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. 5. [Can I filter and segment my 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. 6. [How does the MCP Server reduce AI hallucinations?]() 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. 7. [Is my data secure?]() 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. 8. [Does it work with existing Tenjin integrations?]() 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. 9. [Can I configure my Tenjin account and manage tracking links through the MCP Server?]() 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. 10. [What are Tenjin Skills and how do I use 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. 11. [Why not just connect AI directly to the API?]() 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.