LeanCloud MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LeanCloud through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="LeanCloud Assistant",
instructions=(
"You help users interact with LeanCloud. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from LeanCloud"
)
print(result.final_output)
asyncio.run(main())
* 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 LeanCloud MCP Server
Empower your AI agent to orchestrate your entire backend infrastructure with LeanCloud, the premier backend-as-a-service platform for modern developers. By connecting LeanCloud to your agent, you transform complex data modeling, user management, and notification delivery into a natural conversation. Your agent can instantly list data objects, retrieve detailed record metadata, manage user profiles, and even initiate push notifications without you ever needing to navigate the comprehensive LeanCloud console. Whether you are conducting a data audit or monitoring application usage, your agent acts as a real-time backend assistant, keeping your data accurate and your services responsive.
The OpenAI Agents SDK auto-discovers all 10 tools from LeanCloud through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries LeanCloud, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Data Orchestration — List and retrieve detailed information about objects in any of your LeanCloud data classes.
- User Management — Browse and retrieve user profiles to audit your application's membership base.
- Content Control — Create, update, and delete data objects programmatically through the agent interface.
- File Auditing — Browse and list files uploaded to your application's cloud storage.
- Push Notifications — Initiate and monitor push notification deliveries to engage your users instantly.
The LeanCloud 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 LeanCloud to OpenAI Agents SDK via MCP
Follow these steps to integrate the LeanCloud 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 LeanCloud
Why Use OpenAI Agents SDK with the LeanCloud MCP Server
OpenAI Agents SDK provides unique advantages when paired with LeanCloud 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
LeanCloud + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the LeanCloud MCP Server delivers measurable value.
Automated workflows: build agents that query LeanCloud, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries LeanCloud, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through LeanCloud tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query LeanCloud to resolve tickets, look up records, and update statuses without human intervention
LeanCloud MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect LeanCloud to OpenAI Agents SDK via MCP:
create_object
Create a new object
delete_object
Delete an object
get_app_stats
Get application statistics
get_object
Get object details
get_user
Get user details
list_files
List application files
list_objects
List objects in a class
list_users
List application users
push_notification
Send push notification
update_object
Update an object
Example Prompts for LeanCloud in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with LeanCloud immediately.
"List the last 5 objects in the 'GameScore' class."
"Show me all users in the application."
"Check the application statistics for today."
Troubleshooting LeanCloud MCP Server with OpenAI Agents SDK
Common issues when connecting LeanCloud to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
LeanCloud + OpenAI Agents SDK FAQ
Common questions about integrating LeanCloud MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect LeanCloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect LeanCloud to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
