Besitos Corp MCP for AI. Analyze game performance & track player rewards.
Works with every AI agent you already use
…and any MCP-compatible client








Connect to your AI in seconds.
Besitos Corp connects your AI agent directly to mobile gaming metrics and reward systems. Check game inventories, track user activity history, analyze campaign performance, and manage player incentives all from a single conversation.
What your AI can do
Get campaign
Retrieves detailed information about one specific engagement campaign.
Get engagement report
Pulls a summary of overall user activity and performance metrics for a given period.
Get game
Gets all the specific details about one mobile game title by its ID.
List all available mobile games in the marketplace and get deep details on any specific title.
Retrieve a list of all possible rewards, checking reward structures and promotion rules for optimization.
Get detailed records of how specific users interact with the games—their playtime, actions, and history.
Check a user's complete reward history and track every time they redeem earned currency or points.
Access summarized data on monetization, campaign performance, and overall revenue metrics.
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Besitos Corp: 10 Tools for Game & Reward Management
Execute full game data retrieval, track complex engagement metrics, and list reward offers using these powerful tools.
Make your AI actually useful.
Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Besitos Corp on VinkiusGet Campaign
Retrieves detailed information about one specific engagement campaign.
Get Engagement Report
Pulls a summary of overall user activity and performance metrics for a given period.
Get Game
Gets all the specific details about one mobile game title by its ID.
Get Offer
Retrieves full details on a single reward offer or milestone structure.
Get Revenue Report
Generates summary data about monetization and total revenue performance.
List Campaigns
Lists every reward-based engagement campaign currently active on the platform.
List Games
Provides a complete list of all mobile games available in the Besitos marketplace.
List Offers
Lists all possible reward offers and milestones that can be earned by users.
List User Activity
Retrieves a log of gaming activity for one specific user account.
List User Rewards
Gets the complete reward earning and redemption history for a single user.
Security and governance baked right in.
Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with Besitos Corp, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 5,100+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Besitos Corp. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.
Keeping track of rewards and player activity is a massive headache.
Right now, if an account manager needs to verify why a user has accumulated a certain amount of points, they might have to jump between the 'User Profile' dashboard, the 'Campaign Details' section, and the 'Financial Ledger'. They copy data from one tab, paste it into another sheet, and then manually cross-reference dates and totals. It takes minutes just to get a clear picture.
With this MCP, you ask your agent directly: 'What is user X's reward history?' The system handles all the necessary calls to check the campaign structure, review the activity logs, and pull the final redemption record. You get one clean answer without ever leaving your chat interface.
The Besitos Corp MCP gives you full visibility into every player interaction.
You no longer need to manually run separate reports for revenue, campaign performance, and user engagement. The agent aggregates these different data types—from `get_revenue_report` figures to `list_campaigns` metadata—and delivers a cohesive narrative in one go.
It's not just about fetching data points; it’s about getting context. You can ask 'Why did Campaign B fail?' and the system will use multiple tools, like `get_game`, `get_offer`, and `get_engagement_report` to build a complete answer for you.
What your AI can actually do with this
You can use this MCP to manage the entire lifecycle of a mobile gaming rewards platform through natural chat. Instead of logging into separate dashboards for analytics, you talk to your agent and it pulls data across multiple sources—from listing available games to calculating total campaign revenue.
Need to know how many players completed level 20? Ask. Want to see if the current promotion is profitable? Ask. You can retrieve detailed user histories and monitor reward redemptions instantly. It's all about connecting your gaming data pipeline into one place, making it feel like you’re working directly with a dedicated analytics team built right into Vinkius.
This MCP gives you control over the core mechanics of user engagement, letting you oversee every aspect from initial game discovery to final revenue reporting.
019d755b-0144-7016-ad0d-236cb7e2ba5e Here's how it actually works
The bottom line is, you talk to your agent like a person, and it handles all the complex API calls for gaming metrics.
Subscribe to this MCP and input your Besitos Partner API Key.
Connect it to your preferred AI client (Claude, Cursor, etc.)
Ask your agent to perform the required analysis or data retrieval.
Who is this actually for?
This MCP is built for platform managers who are tired of switching between 10 different dashboards just to understand user behavior. It targets roles that need a single source of truth regarding player engagement and revenue.
Uses this MCP to pull campaign metadata and engagement reports, figuring out which promotions are actually driving user action.
Checks the game inventory and reward structures using this MCP before any major feature launch to ensure incentives align with product goals.
Verifies a user's exact activity history and reward balance, giving them instant support answers without digging through backend databases.
What Changes When You Connect
Instantly check the full list of available games using list_games. This lets you quickly validate if a new title fits your current reward ecosystem without leaving your chat window.
Deep dive into user behavior by calling list_user_activity and list_user_rewards. You get precise logs on what users did, when they played, and exactly how many points they spent.
Optimize incentives using list_offers and get_offer. Before launching a campaign, you can check the reward structure to ensure it motivates the right behavior.
Get high-level financial summaries by running get_revenue_report or get_engagement_report. You skip manual data compilation and get actionable numbers instantly.
Manage promotions with confidence. Use list_campaigns to see every active promotion, then use get_campaign to understand its specific goals and parameters.
See it in action
Investigating a retention drop
The Product Manager asks the agent: 'Show me the activity logs for users who played Game X last week but haven't logged in this week.' The agent calls list_user_activity and cross-references it with campaign data to pinpoint where the incentive structure failed.
Auditing a high-value account
The Support Specialist asks: 'What is user 789's complete reward history?' The agent executes list_user_rewards, providing a full, auditable timeline of every point earned and spent.
Preparing for Q3 planning
The Marketing Lead asks: 'What is the revenue trend versus active players this quarter?' The agent compiles get_revenue_report alongside get_engagement_report, giving them a clear picture for budget allocation.
Validating new game integration
The Tech Lead asks: 'List all games and check the reward requirements for the top 3.' The agent uses list_games followed by three calls to get_game combined with multiple checks of list_offers.
The honest tradeoffs
Assuming one report covers everything
Asking the agent for 'all campaign data' and expecting a single, comprehensive file that details both revenue and user activity.
You need to break this down. First, list all campaigns using list_campaigns. Then, loop through those IDs and call get_campaign for each one. Finally, run get_revenue_report separately to ensure you capture the financial side.
Manually tracking user points
Trying to guess a user's current reward status by only checking their recent activity logs.
Always call list_user_rewards. This tool gives you the official, cumulative history of all earnings and redemptions for that specific account.
Ignoring game metadata
Writing code based only on user activity without verifying which games are actually available in the current marketplace.
Always start by calling list_games. This gives you the authoritative, up-to-date inventory before writing any integration logic.
When It Fits, When It Doesn't
Use this MCP if your job requires understanding the full user lifecycle—from initial game discovery and reward earning to final revenue reporting. It's ideal when you need to correlate data across campaigns, users, and monetization streams. Don't use it if you only need a simple list of active titles; list_games handles that fast enough on its own. If your goal is purely predictive modeling (e.g., 'what will revenue be next month'), this MCP provides the raw inputs (get_engagement_report, get_revenue_report), but you'll need a dedicated data science tool or service for the actual prediction layer.
Questions you might have
How do I check if an offer is available using get_offer? +
You pass the specific ID of the reward to get_offer. This tool returns all rules associated with that single milestone, letting you know exactly how a user earns it or if it's currently restricted.
Can I find out what games are available using list_games? +
Yes. Calling list_games provides the full inventory of titles in the marketplace, allowing you to get details on any specific game with the get_game tool.
What data can I pull about a user using list_user_activity? +
The agent pulls detailed logs showing exactly what the user was doing in-game. This helps you understand their behavior patterns, not just their score.
How do I see all running promotions? Should I use list_campaigns or list_offers? +
Use list_campaigns to see the overarching promotional initiatives. Then, if you need specific rules for one of those campaigns, check the available rewards using list_offers.
Is get_revenue_report better than get_engagement_report? +
They track different things: get_engagement_report measures user activity (how many people played for how long), while get_revenue_report tracks the money coming in from those activities.
If I use get_game with an ID that doesn't exist, what kind of error message should I expect? +
The system returns a clear 404 status code and a detailed JSON payload. This response tells you exactly why the game wasn't found or if the ID format was wrong.
When running list_user_rewards, does the tool show me the user’s current total reward balance? +
Yes, it provides a summary field showing the user's cumulative reward value. You get a full ledger of every earning and redemption event for transparency.
If I need to list_campaigns that have hundreds of entries, do I run into rate limits? +
No, the API automatically handles pagination using tokens. The initial response includes a token you use to fetch subsequent pages of campaign data.
Can I check which games are currently trending in the marketplace? +
Yes! Use the list_games tool to see all available titles. You can then use get_game to see specific metadata and performance metrics for each game.
How do I monitor the revenue generated by my gaming channel? +
Simply ask the agent to get_revenue_report. It will retrieve a summary of monetization data, including total earnings and performance by campaign.
Does the integration allow me to verify a specific user's reward status? +
Yes. Use the list_user_rewards tool with the User ID. Your agent will fetch the full history of earned rewards and pending redemptions for that user.
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