
WebSocket Capacity Planner Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/mcpConnecting WebSocket Capacity Planner to Z.ai
About a minute, in ZCode settings
- 1Open Settings, MCP Servers, then click New MCP Server in the upper-right corner.
- 2Choose the User scope, name it, and keep the type as HTTP. Paste your WebSocket Capacity Planner link as the service URL. The link above is the URL.
- 3Click Add and confirm the server is enabled in the list, then ask something real. WebSocket Capacity Planner is now part of Z.ai.
{
"mcpServers": {
"websocket-capacity-planner-mcp": {
"url": "https://edge.vinkius.com/vk_preview_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/mcp"
}
}
}Z.ai + WebSocket Capacity Planner
One chat. Your WebSocket Capacity Planner, live inside Z.ai.
Real prompts, answered with live data. This is the kind of session you will have in Z.ai once the server is in.
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
These prompts ship with the WebSocket Capacity Planner Connector. Once yours is connected, they work in your sessions.
The full capability set, the prompts and the observed latency live on the WebSocket Capacity Planner Connector page.
Mission Control
See everything your Z.ai agents do in WebSocket Capacity Planner.
When Z.ai runs a tool in WebSocket Capacity Planner, it happens on Z.ai's side: you see the result, but not the request itself, what data it carried, or whether a rule was broken.
Now every move lands on your screen.
Every execution is recorded, enforced, and shown to you: what ran, what it returned, what was blocked, and why.
Know exactly what needs your attention before you even look at the charts. One briefing. The full picture. The next move.
AI Agents Activities
last 30 daysRequest Volume & Latency
requests latencyEvery request your Z.ai agents make through WebSocket Capacity Planner is logged, enforced and auditable. See how AI Governance turns agent activity into accountability, and what it means for your WebSocket Capacity Planner workflows.
What sets us apart
It's not just the Connector that stays safe. Everything your agents do through it is.
Connecting WebSocket Capacity Planner to your AI is step one. But an open line between your agents and WebSocket Capacity Planner is only half the story: without protection, every action they take runs unguarded.
That's why protection doesn't stop at the door.
Every action your agents take through the Connector runs inside our infrastructure: signed activity logs, automatic key rotation, spending limits that pause instead of surprise, and a sandbox that isolates every execution.
Tamper Proof Activity Log
Every request your agents make in WebSocket Capacity Planner is recorded and signed, so any change to the history becomes detectable.
Automatic Key Rotation
We rotate security keys every 24 hours. Your WebSocket Capacity Planner connection stays protected without any manual work.
Spending Protection
We enforce the spending limit you choose and pause actions that exceed it until approval is received. Your WebSocket Capacity Planner actions never surprise you.
Isolated Sandbox
Every execution through WebSocket Capacity Planner runs isolated, with 34+ security rules covering memory, CPU, network access, file handling and execution.
Security Event Streaming
Security events flow to Splunk, Datadog or your own webhook, so WebSocket Capacity Planner activity lands in the tools you already rely on.
Instant Resume
Idle connections resume in 3 to 5 ms while preserving their state, keeping your Z.ai sessions responsive.
Malicious File Protection
We detect compressed files designed to exhaust system resources and block them before they ever reach WebSocket Capacity Planner.
Credential Validation
We test your WebSocket Capacity Planner credentials before saving them. Invalid credentials are rejected instead of being stored.
Separate Usage Limits
Usage stays isolated per account, so activity in one connection never consumes another account's allowance.
One Connector, one link, and the whole operation is protected. Not just the connection: everything your agents do through it.
These guarantees are not add-ons: they are the infrastructure every WebSocket Capacity Planner connection runs on. Read how our infrastructure protects everything your Z.ai agents do, end to end.
Inside Vinkius
Get WebSocket Capacity Planner ready for your AI. It's easy.
You choose WebSocket Capacity Planner from the Vinkius Catalog and get one connection link. That's it.
You choose WebSocket Capacity Planner
You find WebSocket Capacity Planner in the Catalog and install the Connector with one click.
WebSocket Capacity Planner
Active
Enable ConnectorActivating…You add the link in Z.ai
Vinkius gives you one connection link. In ZCode, you add an HTTP MCP server in Settings with the link as the service URL, and the connection is ready.
Token generated successfully
MCP Connection URL
https://edge.vinkius.com/vk_preview_A2KKR618IPEurqCafkvsVgIKXzk9F63mnDdpvJwf/mcpGo to DashboardConnection Token
vk_live_••••••••
Set it up once. Use WebSocket Capacity Planner with the AI you already use.
FAQ
Z.ai access questions.
- 01
Does this work across my workspaces?
Yes. Choose the User scope when adding the server and it's available in every workspace; Workspace scope keeps it in the current project only.
- 02
If I connect WebSocket Capacity Planner to Gemini, can I use the same connection in Claude or ChatGPT later?
Yes, and that's the point: the connection is yours, not Gemini's. You paste the same link in any AI you use, and there's nothing new to set up or pay again. Connect a new AI and WebSocket Capacity Planner is already there.
- 03
What does ZCode need to connect to WebSocket Capacity Planner?
Just the link. The hosted Connector handles access on our side, so you don't configure headers or tokens in ZCode. For remote services, the type is HTTP and the URL is your link.
- 04
What can I actually ask Gemini to do with WebSocket Capacity Planner?
Whatever the Connector covers: check data, run actions and bring answers back. The Connector page lists every capability your AI gains, with real examples you can copy.
- 05
Gemini doesn't show the Connector. What do I check?
Open Settings, MCP Servers and check the server is enabled, confirm the URL was pasted exactly as copied, and confirm the Connector is active in your Vinkius account. A deactivated Connector stops responding.
- 06
Can I remove the access later?
Remove the server in Settings, MCP Servers and it's out of your work. Your Vinkius account keeps the connection and its history either way, ready for the next AI.
More questions about WebSocket Capacity Planner? The Connector page answers them. See everything the WebSocket Capacity Planner Connector can do
About the Connector
What WebSocket Capacity Planner adds to your AI.
Once you connect it, your AI gains 4 capabilities: the exact actions it can take in WebSocket Capacity Planner when you ask. The Connector page lists every one of them in detail, alongside the latency we measure in production and prompts worth trying first.
See everything the WebSocket Capacity Planner Connector can do