How do I get my Kuaishou Mini-Game credentials?

Register at the [Kuaishou Open Platform](https://open.kuaishou.com/), create a mini-game application, and find your App ID and App Secret in the application settings.

What monetization models are supported?

Kuaishou supports IAA (In-App Advertising) with rewarded videos and interstitial ads, as well as IAP (In-App Purchases). Revenue split is 89% for paid traffic and 30% for organic traffic.

How does cloud storage work?

Cloud storage saves user game data as key-value pairs. Each user gets their own storage space. Use set_user_storage to save and get_user_storage to load data. Essential for cross-device game continuity.

Kuaishou Mini-Game MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Kuaishou Mini-Game
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Kuaishou Mini-Game through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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 agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Kuaishou Mini-Game Assistant",
            instructions=(
                "You help users interact with Kuaishou Mini-Game. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Kuaishou Mini-Game"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Kuaishou Mini-Game MCP Server

Connect your Kuaishou Mini-Game (快手小游戏) developer account to any AI agent and manage your casual game backend through natural conversation. Built on Kuaishou's open platform for mini-games with IAA/IAP monetization.

The OpenAI Agents SDK auto-discovers all 10 tools from Kuaishou Mini-Game through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Kuaishou Mini-Game, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

User Authentication — Exchange login codes for session tokens
Cloud Storage — Save/load user game data via key-value storage
Leaderboards — Submit scores and retrieve rankings
Analytics — Track DAU, retention, and engagement metrics
Content Moderation — Check user-generated text for policy violations
Custom Events — Report game-specific analytics events
Remote Config — Fetch game configuration for feature flags and balancing

The Kuaishou Mini-Game MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 Kuaishou Mini-Game to OpenAI Agents SDK via MCP

Follow these steps to integrate the Kuaishou Mini-Game MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Kuaishou Mini-Game

Why Use OpenAI Agents SDK with the Kuaishou Mini-Game MCP Server

OpenAI Agents SDK provides unique advantages when paired with Kuaishou Mini-Game through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Kuaishou Mini-Game + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Kuaishou Mini-Game MCP Server delivers measurable value.

Automated workflows: build agents that query Kuaishou Mini-Game, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Kuaishou Mini-Game, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Kuaishou Mini-Game tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Kuaishou Mini-Game to resolve tickets, look up records, and update statuses without human intervention

Kuaishou Mini-Game MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Kuaishou Mini-Game to OpenAI Agents SDK via MCP:

check_content

Essential for games with user-generated content. Check user-generated content for policy violations

code2session

This is the standard Kuaishou login flow: the mini-game client calls ks.login() to get a code, then the server exchanges it for the user session. Exchange login code for Kuaishou user session

get_analytics

Get game analytics data (DAU, retention, etc.)

get_game_config

Useful for remote config, feature flags, and game balancing parameters. Get game configuration settings

get_leaderboard

Returns player rankings, scores, and basic profile info. Get leaderboard rankings from Kuaishou game

get_user_info

Requires the access token and openid obtained from code2session. Get Kuaishou user profile information

get_user_storage

Specify keys to fetch specific fields, or omit to fetch all. Retrieve user game data from Kuaishou cloud storage

report_event

Report a custom analytics event for game tracking

set_user_storage

Use this to save game progress, settings, high scores, or user preferences. Save user game data to Kuaishou cloud storage

submit_score

The score is a numeric value. The leaderboard_id identifies which leaderboard to submit to. Submit a game score to the Kuaishou leaderboard

Example Prompts for Kuaishou Mini-Game in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Kuaishou Mini-Game immediately.

"Exchange login code 'abc123' for a user session."

"Save game data: level 10, score 3000 for user ks_user_123."

"Show me the top 10 players on the 'main' leaderboard."

Troubleshooting Kuaishou Mini-Game MCP Server with OpenAI Agents SDK

Common issues when connecting Kuaishou Mini-Game to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Kuaishou Mini-Game + OpenAI Agents SDK FAQ

Common questions about integrating Kuaishou Mini-Game MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.