How do I find my Jiguang App Key and Master Secret?

Log in to the [Jiguang portal](https://www.jiguang.cn/), create an application, and you will find your App Key and Master Secret in the application overview or settings section.

Can I target specific users with an alias?

Yes. Jiguang allows you to set an 'alias' for each device. You can then use the `send_push` tool with that alias in the audience payload to send targeted notifications to specific individuals.

Is it possible to track if a message was received?

Yes! Use the `get_push_report` tool with your message IDs to retrieve delivery statistics, including the count of devices that successfully received the notification.

Jiguang Aurora / 极光 MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Jiguang Aurora / 极光
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Jiguang Aurora / 极光 through Vinkius, pass the Edge URL in the `mcps` parameter and every Jiguang Aurora / 极光 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="Jiguang Aurora / 极光 Specialist",
    goal="Help users interact with Jiguang Aurora / 极光 effectively",
    backstory=(
        "You are an expert at leveraging Jiguang Aurora / 极光 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 Jiguang Aurora / 极光 "
        "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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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 Jiguang Aurora / 极光 MCP Server

Empower your AI agent to orchestrate your push notification infrastructure with Jiguang Aurora (极光), the premier CPaaS provider in China. By connecting Jiguang to your agent, you transform complex device targeting, scheduled messaging, and multi-platform delivery into a natural conversation. Your agent can instantly send targeted push notifications, retrieve detailed device metadata by Registration ID, manage complex delivery schedules, and audit real-time message reports without you ever needing to navigate the comprehensive Jiguang portal. Whether you are automating user verification or coordinating large-scale promotional alerts, your agent acts as a real-time messaging assistant, keeping your communication flow accurate and your users informed.

When paired with CrewAI, Jiguang Aurora / 极光 becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Jiguang Aurora / 极光 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

Push Orchestration — Send customized push notifications to specific users or segments with full support for deep-linking.
Device Management — Retrieve detailed metadata for specific devices and update tags or aliases to refine your targeting.
Schedule Control — Create and manage scheduled push tasks to ensure your messages reach users at the perfect moment.
Delivery Auditing — Access real-time reports for message receipt and user engagement metrics.
Operational Insights — Monitor your account quota and API usage limits to ensure system-wide communication health.

The Jiguang Aurora / 极光 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 Jiguang Aurora / 极光 to CrewAI via MCP

Follow these steps to integrate the Jiguang Aurora / 极光 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 Jiguang Aurora / 极光

Why Use CrewAI with the Jiguang Aurora / 极光 MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Jiguang Aurora / 极光 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

Jiguang Aurora / 极光 + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Jiguang Aurora / 极光 MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Jiguang Aurora / 极光 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 Jiguang Aurora / 极光, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Jiguang Aurora / 极光 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 Jiguang Aurora / 极光 against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Jiguang Aurora / 极光 MCP Tools for CrewAI (10)

These 10 tools become available when you connect Jiguang Aurora / 极光 to CrewAI via MCP:

create_schedule

Create a scheduled push

delete_schedule

Delete a scheduled task

get_account_quota

Get API quota and usage

get_device_info

Get device information

get_message_status

Get detailed message status

get_push_report

Get push delivery report

get_user_report

Get user activity report

list_schedules

List scheduled push tasks

send_push

Send push notification

update_device

Update device tags and alias

Example Prompts for Jiguang Aurora / 极光 in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Jiguang Aurora / 极光 immediately.

"Send a push notification to Registration ID '1a0918c...'."

"Schedule a push task for tomorrow at 10 AM."

"Show me the user activity report for the last 7 days."

Troubleshooting Jiguang Aurora / 极光 MCP Server with CrewAI

Common issues when connecting Jiguang Aurora / 极光 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.

Jiguang Aurora / 极光 + CrewAI FAQ

Common questions about integrating Jiguang Aurora / 极光 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.