Bring Instant Messaging
to Google ADK
Create your Vinkius account to connect Netease Yunxin IM to Google ADK and start using all 11 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Netease Yunxin IM MCP Server?
Connect your LLMs directly to Netease Yunxin (网易云信), the prominent IM API platform supporting massive concurrency arrays in Asia. This MCP encapsulates 11 advanced tools giving your agents administration rights to manipulate chat rooms, govern users, and push automatic webhook notifications seamlessly.
What you can do
- Chatroom Moderation — Let agents automatically mute misbehaving members out of massive chatrooms based on context
- Identity Operations — Ask the agent to block or generate users directly into your application cluster
- Broadcasting & Support — The LLM can send custom payload JSON objects or standard text messages to mobile peers seamlessly, without writing server-side REST configurations
How it works
- Sign up to the Netease Yunxin panel to acquire your AppKey and AppSecret.
- Add them safely into Vurb.
- The MCP translates native calls, building the complex
SHA1 Noncecryptographic checksum automatically.
Who is this for?
- Customer Service AI — Proactive IM chat administration without manual intervention
- Gaming Companies — Integrate autonomous room administration for massively multiplayer rooms using Yunxin chat functionality
Built-in capabilities (11)
Block an IM User network
Create a massive chatroom
Create an IM User
Destroy a massive chatroom
Get Chatroom active members
Mute a chatroom member
Recall a sent message
Send a Custom Payload Message
Send a P2P Text Message
Unblock an IM user
Update an IM User profile
Why Google ADK?
Google ADK natively supports Netease Yunxin IM as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 11 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Netease Yunxin IM
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine Netease Yunxin IM tools with BigQuery, Vertex AI, and Cloud Functions
Netease Yunxin IM in Google ADK
Why run Netease Yunxin IM with Vinkius?
The Netease Yunxin IM connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 11 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Netease Yunxin IM using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Netease Yunxin IM and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Netease Yunxin IM to Google ADK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Netease Yunxin IM for Google ADK
Every request between Google ADK and Netease Yunxin IM is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Is the cryptographic checksum handled locally?
Yes! Netease API requires a very specific API Hash (Nonce + Secret + CurTime). This MCP server generates it securely on the fly so you just feed literal variables straight to the AI.
How does Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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