How do I find my LeanCloud App ID and Key?

Log in to your LeanCloud console, select your application, and go to [Settings] → [App Keys]. You will find your App ID, App Key, and Master Key there.

When do I need to use the Master Key?

The Master Key is required for administrative operations that bypass ACLs, such as listing all users, sending push notifications, or retrieving sensitive system metrics. It should be kept strictly confidential.

Can I query custom data classes?

Yes! Use the `list_objects` tool and provide the exact name of your data class. Your agent will retrieve the records according to your application's permissions.

LeanCloud MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: LeanCloud
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect LeanCloud through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to LeanCloud "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in LeanCloud?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 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.

Pydantic AI validates every LeanCloud tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the LeanCloud MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from LeanCloud with type-safe schemas

Why Use Pydantic AI with the LeanCloud MCP Server

Pydantic AI provides unique advantages when paired with LeanCloud through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your LeanCloud integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your LeanCloud connection logic from agent behavior for testable, maintainable code

LeanCloud + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the LeanCloud MCP Server delivers measurable value.

Type-safe data pipelines: query LeanCloud with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple LeanCloud tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query LeanCloud and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock LeanCloud responses and write comprehensive agent tests

LeanCloud MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect LeanCloud to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting LeanCloud to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

LeanCloud + Pydantic AI FAQ

Common questions about integrating LeanCloud MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your LeanCloud MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.