Jiguang Aurora / 极光 MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"jiguang-aurora": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Jiguang Aurora / 极光 into an in-editor superpower. Ask Cursor to generate code using live data from Jiguang Aurora / 极光 and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Jiguang Aurora / 极光 MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Jiguang Aurora / 极光
Open Agent mode in chat and ask: "Using Jiguang Aurora / 极光, help me...". 10 tools available
Why Use Cursor with the Jiguang Aurora / 极光 MCP Server
Cursor AI Code Editor provides unique advantages when paired with Jiguang Aurora / 极光 through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Jiguang Aurora / 极光 + Cursor Use Cases
Practical scenarios where Cursor combined with the Jiguang Aurora / 极光 MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Jiguang Aurora / 极光 MCP Tools for Cursor (10)
These 10 tools become available when you connect Jiguang Aurora / 极光 to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Jiguang Aurora / 极光 to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Jiguang Aurora / 极光 + Cursor FAQ
Common questions about integrating Jiguang Aurora / 极光 MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect Jiguang Aurora / 极光 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Jiguang Aurora / 极光 to Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
