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.

Besitos Corp MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Besitos Corp
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Besitos Corp through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "besitos-corp": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Besitos Corp, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Besitos Corp MCP Server

Connect your Besitos Corp partner account to any AI agent and orchestrate your mobile gaming and user engagement workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Besitos Corp through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Game Discovery — List and inspect available mobile games in the Besitos marketplace for integration.
Offer Management — Query reward offers and milestones to optimize user incentives.
User Activity Tracking — Retrieve detailed gaming activity and history for specific users.
Reward Oversight — Monitor user reward redemptions and historical earnings.
Campaign Analytics — Access real-time reports on user engagement and monetization performance.
Fraud Prevention Monitoring — Verify the status of campaigns and user interactions through the integrated fraud layer.

The Besitos Corp MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Besitos Corp to LangChain via MCP

Follow these steps to integrate the Besitos Corp MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Besitos Corp via MCP

Why Use LangChain with the Besitos Corp MCP Server

LangChain provides unique advantages when paired with Besitos Corp through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Besitos Corp MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Besitos Corp queries for multi-turn workflows

Besitos Corp + LangChain Use Cases

Practical scenarios where LangChain combined with the Besitos Corp MCP Server delivers measurable value.

RAG with live data: combine Besitos Corp tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Besitos Corp, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Besitos Corp tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Besitos Corp tool call, measure latency, and optimize your agent's performance

Besitos Corp MCP Tools for LangChain (10)

These 10 tools become available when you connect Besitos Corp to LangChain via MCP:

get_campaign

Get details of a specific campaign

get_engagement_report

Retrieve a summary of user engagement metrics

get_game

Get details of a specific game

get_offer

Get details of a specific reward offer

get_revenue_report

Retrieve a summary of monetization and revenue data

list_campaigns

List all reward-based engagement campaigns

list_games

List all available mobile games in the marketplace

list_offers

List all reward offers and milestones

list_user_activity

Retrieve gaming activity for a specific user

list_user_rewards

Retrieve reward history for a specific user

Example Prompts for Besitos Corp in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Besitos Corp immediately.

"List all mobile games currently available in Besitos."

"Show me the engagement report for this month."

"Check the reward history for user_9988."

Troubleshooting Besitos Corp MCP Server with LangChain

Common issues when connecting Besitos Corp to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Besitos Corp + LangChain FAQ

Common questions about integrating Besitos Corp MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.