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 CrewAI 10 tools — connect in under 2 minutes

Name: LeanCloud
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to LeanCloud through Vinkius, pass the Edge URL in the `mcps` parameter and every LeanCloud tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="LeanCloud Specialist",
    goal="Help users interact with LeanCloud effectively",
    backstory=(
        "You are an expert at leveraging LeanCloud tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in LeanCloud "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Ed25519Audit chain

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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 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.

When paired with CrewAI, LeanCloud becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call LeanCloud tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the LeanCloud MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from LeanCloud

Why Use CrewAI with the LeanCloud MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with LeanCloud through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

LeanCloud + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries LeanCloud for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries LeanCloud, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain LeanCloud tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries LeanCloud against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

LeanCloud MCP Tools for CrewAI (10)

These 10 tools become available when you connect LeanCloud to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

LeanCloud + CrewAI FAQ

Common questions about integrating LeanCloud MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.