Besitos Corp MCP. Get user activity, revenue, and game data in one chat.
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Besitos Corp manages mobile gaming and user rewards. List games, track user activity, and manage offers directly from your AI agent.
Use `list_games` to inspect the full game catalog, `list_offers` to review reward milestones, and `list_user_activity` to pull detailed user history.
It centralizes all gaming, monetization, and engagement data into one API gateway.
What your AI agents can do
Get campaign
Retrieves detailed information for one specific campaign.
Get engagement report
Gets a summary of user engagement metrics for a given period.
Get game
Gets all the specific data points for one mobile game.
It pulls the entire catalog of mobile games available in the Besitos marketplace.
It retrieves the details for all available reward milestones and offers.
It fetches the detailed gaming log and activity timeline for a specific user.
It pulls a user's complete record of earnings and reward redemptions.
It retrieves detailed reports on user engagement and monetization metrics.
It pulls all data related to a single, named engagement campaign.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
019d755bget campaign
Retrieves detailed information for one specific campaign.
019d755bget engagement report
Gets a summary of user engagement metrics for a given period.
019d755bget game
Gets all the specific data points for one mobile game.
019d755bget offer
Gets details about a single reward offer or milestone.
019d755bget revenue report
Retrieves a summary of monetization and revenue data.
019d755blist campaigns
Lists all available reward-based engagement campaigns.
019d755blist games
Lists every mobile game available in the marketplace.
019d755blist offers
Lists all available reward offers and milestones.
019d755blist user activity
Pulls the detailed gaming activity log for a specified user.
019d755blist user rewards
Retrieves the full reward history and earnings for a specific user.
Choose How to Get Started
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Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
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- Built in DLP, auth, and compliance on every call
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Make Your AI Do More
Start with Besitos Corp, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
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- New servers added to the catalog every week
What you can do with this MCP connector
You're running a mobile gaming operation, and you need to keep tabs on everything—the games, the user behavior, the rewards. This server gives your AI client direct access to the Besitos Corp backend. You can list every game in the marketplace using list_games, and you can check all the available reward milestones and offers by calling list_offers.
You'll also pull a user's full activity log and detailed history using list_user_activity. Need to monitor what a user's actually earned, or if they redeemed any rewards? Use list_user_rewards. For the bigger picture, you can look at all current engagement campaigns with list_campaigns, or drill down into specific campaigns using get_campaign.
You've got reports too: check user engagement metrics for a set time period with get_engagement_report, or pull revenue and monetization data with get_revenue_report. If you want to see specific details on a single game, get_game pulls all the data points for it. You can also get the specifics for a single reward offer using get_offer or get a deep dive into any one campaign using get_campaign.
How Besitos Corp MCP Works
- 1 Subscribe to the Besitos Corp MCP Server and provide your Besitos Partner API Key.
- 2 Your AI client calls a specific tool (e.g.,
list_games). - 3 The server executes the request against Besitos and returns the structured data to your AI agent.
The bottom line is that you manage the entire gaming and rewards lifecycle by talking to your AI agent, which handles all the API calls for you.
Who Is Besitos Corp MCP For?
This is for Platform Managers, Fintech Integration Engineers, and Marketing Leads. If your job requires connecting user behavior data to monetization metrics, you need this. Stop jumping between BI dashboards and game admin portals; your AI agent handles the whole stack.
Uses the server to quickly check game availability and reward structures when integrating a new financial or loyalty product.
Retrieves engagement reports and campaign metadata to advise on which user incentives or game types to prioritize.
Verifies individual user activity and reward history when providing support or optimizing client accounts.
What Changes When You Connect
- See a user's complete journey by calling
list_user_activityandlist_user_rewards. You get the raw data showing exactly when they played and what they earned, all from one agent call. - Know which games drive revenue by comparing the
list_gamescatalog with theget_revenue_report. It connects game listing data directly to monetization performance. - Quickly assess incentive health by using
list_offersandget_offer. You can compare the defined reward milestones against real user activity logs to optimize the payout structure. - Track campaign impact across the board. Use
list_campaignsandget_campaignto pull all engagement data and then useget_engagement_reportto quantify the results. - Verify fraud or high-value accounts instantly. You can cross-reference a user's history using
list_user_activityand then check their earnings vialist_user_rewardsfor a full audit trail. - Get the full financial picture. The
get_revenue_reportallows you to pull monetization data without needing a separate financial database connection.
Real-World Use Cases
Auditing a high-value user's account
An account manager needs to verify why user_XYZ suddenly stopped playing. They ask their agent to run list_user_activity and then list_user_rewards for that user. The agent pulls the activity log and the reward history, showing the exact date and reason for the last reward redemption, solving the mystery in minutes.
Planning a new loyalty campaign
A product manager wants to launch a new reward tier. They first use list_games to pick a focus title, then run list_offers to define the new reward structure. Finally, they use get_engagement_report to project how many users might hit that new milestone.
Investigating revenue dips
The marketing team notices a drop in revenue. They run get_revenue_report to identify the drop period, then use list_campaigns and get_campaign to see if a specific campaign was paused or underperforming during that time.
Onboarding a new platform integration
A fintech engineer needs to ensure a new game integrates correctly. They call get_game to pull the schema and then run get_offer to confirm the associated reward structure before writing any code.
The Tradeoffs
Jumping between dashboards
Checking game metrics in the Besitos web portal, then exporting user data to a spreadsheet, then manually updating the revenue dashboard. This takes hours and creates data silos.
→
Use your agent to run list_games, then list_user_activity, and finally get_revenue_report sequentially. The agent pulls all three data sets and gives you one consolidated summary immediately.
Guessing user value
Assuming a user is valuable because they played 10 times, without checking if those plays resulted in any reward or revenue. You miss the financial context.
→
Always cross-check activity using list_user_activity and then confirm their financial value by running list_user_rewards. This provides the full picture.
Over-relying on raw data dumps
Pulling a massive dump of raw activity logs (list_user_activity) and then having to write complex SQL joins in a separate BI tool to find the revenue link.
→
Start by asking for the get_engagement_report. This aggregates the raw data and gives you the key metrics you need without writing a single query.
When It Fits, When It Doesn't
Use this server if your goal is understanding the user value chain: from game exposure (via list_games) to activity (list_user_activity) to monetary outcome (get_revenue_report). It's essential for any role needing to connect player behavior to platform finance.
Don't use this if you just need to know if a user is online right now. For that, you need a live presence system, not a historical log. If you only need to see what features exist, start with list_games or list_offers to map the available options first.
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 server provides 10 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Tracking player behavior used to require jumping between five different admin dashboards.
Before this, figuring out user engagement meant logging into the game dashboard, checking the player logs, exporting those logs, and pasting them into the analytics tool. You had to cross-reference that data with the separate rewards portal to see if the activity actually translated into a reward or revenue.
Now, your AI agent handles the entire sequence. You just ask it to 'Show me the engagement report for user X.' The agent runs `list_user_activity`, links it to `list_user_rewards`, and summarizes the findings into one clear answer.
Besitos Corp MCP Server: Manage Game and Reward Data
You no longer have to manually check the campaign status, pull the game details, and then run a separate revenue report. The MCP Server orchestrates all these calls. You ask for a campaign's performance, and it pulls `get_campaign` data and immediately compares it to the `get_revenue_report` results.
The result is a single, conversational workflow. You get the answer you need—not a stack of CSV files—and you do it instantly.
Common Questions About Besitos Corp MCP
How do I use the `list_games` tool to see all available titles? +
You simply call list_games with no parameters. This returns the full list of every mobile game currently in the Besitos marketplace, including their unique IDs and basic descriptions.
What is the difference between `list_user_activity` and `list_user_rewards`? +
list_user_activity shows every action a user took (like playing or clicking). list_user_rewards only shows the financial outcomes—what they earned, how much, and when they redeemed it.
Can I check the earnings for a specific campaign using `get_campaign`? +
Yes, you provide the campaign ID to get_campaign. This gives you the full operational data for that campaign, including its goal, start/end dates, and performance metrics.
Do I need to use `list_offers` to know about reward milestones? +
No. You can use get_offer if you know the exact offer ID. But list_offers is better because it shows you every available reward milestone, letting you browse and pick the right one.
How do I get a summary of overall revenue data? (Using `get_revenue_report`) +
Just call get_revenue_report. It pulls a summary of monetization and revenue data for the specified period, giving you a high-level financial snapshot.
How do I retrieve a user's engagement summary using the `get_engagement_report` tool? +
The get_engagement_report tool provides a summary of user activity. It gives you metrics like active players, average session time, and total milestones completed for a given period.
Can I check for specific game details using the `get_game` tool? +
Yes, the get_game tool fetches specific data for a given game ID. You get details about the game, which helps you assess its integration viability.
What information does `list_campaigns` provide about reward programs? +
The list_campaigns tool lists all reward-based engagement campaigns. You'll see details about the campaign structure and its goals, letting you optimize incentives.
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.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
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