
Step by step, for each client
Connecting Cloudbeds in each client
The same hosted link plugs into every client below. Pick the one you use — each setup takes seconds — and start a new chat.

Claude
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Claude
About a minute, right in your Claude settings
- 1In Claude, open Customize and choose Connectors (claude.ai or the desktop app).
- 2Click +, choose Add custom connector, and paste your Cloudbeds link as the remote MCP server URL.
- 3Click Add and start a new chat. Ask for something real: Cloudbeds is now part of your Claude.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
ChatGPT
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to ChatGPT
About a minute, right in your ChatGPT settings
- 1In ChatGPT, open Settings, choose Apps & Connectors, and turn on Developer mode under Advanced settings.
- 2Click Create, name it, and paste your Cloudbeds link as the MCP server URL. Choose No authentication and check “I trust this application”.
- 3Create it, start a new chat, and switch the connector on via the + menu. Ask for something real: Cloudbeds is now part of your ChatGPT.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Gemini
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Gemini
About a minute, right in your terminal
- 1Open the Gemini CLI in your terminal.
- 2Run: gemini mcp add --transport http Cloudbeds <your link>. Your Cloudbeds link above is the HTTP URL.
- 3Run /mcp and confirm the status shows CONNECTED. Cloudbeds is now part of your Gemini.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Perplexity
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Perplexity
A few minutes, in the Perplexity Mac app
- 1In the Perplexity Mac app, open Account, choose Connectors, and click Add Connector.
- 2In the Simple tab, choose MCP Connector, name it, and add the bridge command with your Cloudbeds link: npx mcp-remote <your link>. The link above is the URL.
- 3Click Save and check it shows Running, then turn the connector on under Sources on the homepage. Cloudbeds is now part of your Perplexity.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Grok
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Grok
About a minute, at grok.com/connectors
- 1In Grok, open grok.com/connectors and click New Connector.
- 2Choose Custom, name it, and paste your Cloudbeds link as the remote MCP server URL.
- 3Save and enable it, finish the browser authorization if prompted, and ask Grok something real. Cloudbeds is now part of your Grok.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Microsoft Copilot
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Copilot
About a minute, in VS Code's Copilot Chat
- 1In VS Code, open the Copilot Chat panel, click the tools icon and select the + icon, or run MCP: Add Server from the Command Palette.
- 2Choose your scope, name the server, and paste your Cloudbeds link as the server URL with HTTP transport.
- 3Confirm the server appears in your MCP list, then ask Copilot something real. Cloudbeds is now part of your Copilot.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Cursor
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Cursor
About a minute, in Cursor
- 1Open Customize in the Cursor sidebar (or create .cursor/mcp.json in your project).
- 2Add an MCP server named Cloudbeds with the url field set to your link. The link above is the URL.
- 3Save, enable the server, and ask something real. Cloudbeds is now part of Cursor.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
VS Code
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to VS Code
About a minute, in VS Code
- 1Run MCP: Add Server from the Command Palette (or create .vscode/mcp.json in your project).
- 2Add a server named Cloudbeds with type http and your link as the url. The link above is the URL.
- 3Save and ask something real in Copilot Chat. Cloudbeds is now part of VS Code.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Windsurf
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Windsurf
About a minute, in Cascade
- 1In Cascade, click the MCPs icon (or go to Settings, Cascade, MCP Servers).
- 2Edit mcp_config.json and add Cloudbeds with the serverUrl field set to your link. The link above is the URL.
- 3Save and ask something real. Cloudbeds is now part of Windsurf.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
JetBrains
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to JetBrains
About a minute, in Settings
- 1Go to Settings, Tools, AI Assistant, Model Context Protocol (MCP).
- 2Click Add and add Cloudbeds with the url field set to your link. The link above is the URL.
- 3Click OK and Apply, check the Status column, and ask something real. Cloudbeds is now part of your IDE.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Cline
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Cline
About a minute, in the Cline panel
- 1In the Cline panel, click the MCP Servers icon and open the Remote Servers tab.
- 2Add a server named Cloudbeds with your link as the Server URL and Streamable HTTP as the transport. The link above is the URL.
- 3Click Add Server and ask something real. Cloudbeds is now part of Cline.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
LangChain
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to LangChain
About a minute, in your code
- 1Install LangChain with the mcp extra: pip install "langchain[mcp]".
- 2Create an MCPAdapter with your Cloudbeds link: MCPAdapter("<your link>"). The link above is the URL.
- 3Call list_tools and pass the tools to your agent. Cloudbeds is now part of your LangChain agent.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Vercel AI SDK
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to the Vercel AI SDK
About a minute, in your code
- 1Install the MCP client: npm install @ai-sdk/mcp, and import createMCPClient from '@ai-sdk/mcp'.
- 2Create the client with your Cloudbeds link as the transport: { type: 'http', url: '<your link>' }. The link above is the URL.
- 3Call client.tools() and pass the tools to streamText. Cloudbeds is now part of your AI SDK app.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Lovable
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Lovable
About a minute, in the Connectors catalog
- 1Open Connectors, select the + button in the top right of the catalog, and choose MCP server.
- 2Name the server and paste your Cloudbeds link as the Server URL. The link above is the URL.
- 3Choose No authentication and click Add server, then ask Lovable something real. Cloudbeds is now part of Lovable.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Z.ai
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds 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 Cloudbeds 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. Cloudbeds is now part of Z.ai.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Raycast
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Raycast
A few minutes, in Raycast Pro
- 1Search for the Install MCP Server command (or open Manage MCP Servers and choose Install New Server).
- 2Give the server a name and icon, select HTTP as the transport, and paste your Cloudbeds link as the URL. The link above is the URL.
- 3Press Install MCP Server and confirm the status shows Running, then ask something real. Cloudbeds is now part of Raycast.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Qwen Code
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Qwen Code
About a minute, in your terminal
- 1Run: qwen mcp add --transport http Cloudbeds <your link>. The link above is the URL.
- 2Prefer a config file? Add it to ~/.qwen/settings.json (user) or .qwen/settings.json (project) with the httpUrl field. The link above is the URL.
- 3Enter /mcp in the chat to confirm the server appears. Cloudbeds is now part of Qwen Code.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Kimi Code
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Kimi Code
About a minute, in the TUI
- 1Run /mcp-config in the Kimi Code TUI to add a server interactively (or edit mcp.json directly).
- 2Add a server named Cloudbeds with your link in the url field. The link above is the URL.
- 3Run /mcp to confirm the status, then ask something real. Cloudbeds is now part of Kimi Code.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}
Le Chat
Cloudbeds Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpConnecting Cloudbeds to Le Chat
About a minute, in Connectors
- 1In Le Chat, open Connectors and choose to add a custom connector.
- 2Paste your Cloudbeds link as the remote MCP server URL. The link above is the URL.
- 3Save and authorize, then ask something real. Cloudbeds is now part of Le Chat.
{
"mcpServers": {
"cloudbeds-mcp": {
"url": "https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcp"
}
}
}Claude and other AIs + Cloudbeds
One chat. Your Cloudbeds, live inside Claude and other AIs.
Real prompts, answered with live data. This is the kind of conversation you will have in Claude and other AIs once the link is in.
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
These prompts ship with the Cloudbeds Connector. Once yours is connected, they work in your chats.
The full capability set, the prompts and the observed latency live on the Cloudbeds Connector page.
Mission Control
See everything your agents do in Cloudbeds.
When your agents run a tool in Cloudbeds, it happens on the client side: you see the answer in the chat, 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 agents make through Cloudbeds is logged, enforced and auditable. See how AI Governance turns agent activity into accountability, and what it means for your Cloudbeds workflows.
What sets us apart
It's not just the Connector that stays safe. Everything your agents do through it is.
Connecting Cloudbeds to your AI is step one. But an open line between your agents and Cloudbeds 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 Cloudbeds is recorded and signed, so any change to the history becomes detectable.
Automatic Key Rotation
We rotate security keys every 24 hours. Your Cloudbeds 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 Cloudbeds actions never surprise you.
Isolated Sandbox
Every execution through Cloudbeds 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 Cloudbeds 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 conversations responsive across every client.
Malicious File Protection
We detect compressed files designed to exhaust system resources and block them before they ever reach Cloudbeds.
Credential Validation
We test your Cloudbeds 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 Cloudbeds connection runs on. Read how our infrastructure protects everything your agents do, end to end.
Inside Vinkius
Get Cloudbeds ready for your AI. It's easy.
You choose Cloudbeds from the Vinkius Catalog, sign in to your Cloudbeds account, and get one connection link. That's it.
You choose Cloudbeds
You find Cloudbeds in the Catalog and install the Connector with one click.
Cloudbeds
Active
Enable ConnectorActivating…You sign in
You connect your Cloudbeds account and choose what you want your AI to access. Your credentials stay encrypted and separate from your AI.
Configure Credentials
Configure credentials for {{connectorName}}
RequiredEncryptedSave & ContinueYou add the link in your AI client
Vinkius gives you one connection link. Add it to the client you use — the exact steps for each client are in the section above — and Cloudbeds is live everywhere in one move.
Token generated successfully
MCP Connection URL
https://edge.vinkius.com/vk_preview_kLoQqERsxIKVP93nAtx1LsQqEDnHbhBcnYqVkWZv/mcpGo to DashboardConnection Token
vk_live_••••••••
Set it up once. Use Cloudbeds with the AI you already use.
FAQ
Claude access questions.
- 01
Does this work on claude.ai and in the Claude desktop app?
Yes. You add the same link under Customize and Connectors in both, and your chats work the same in each.
- 02
If I connect Cloudbeds to Claude, can I use the same connection in ChatGPT or Gemini later?
Yes, and that's the point: the connection is yours, not Claude'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 Cloudbeds is already there.
- 03
Do I need to hand my Cloudbeds password to Claude?
Never. You sign in once at Vinkius, and we keep your logins encrypted and away from your AI. Claude only ever sees the link, and you can remove it whenever you want.
- 04
What can I actually ask Claude to do with Cloudbeds?
Whatever the Connector covers: check data, run actions and bring answers back into the chat. The Connector page lists every capability your AI gains, with real examples you can copy.
- 05
Claude doesn't show the Connector. What do I check?
Make sure the link was pasted exactly as copied and that the Connector is active in your Vinkius account, then reopen the connectors list in Claude. A deactivated Connector stops appearing in new chats.
- 06
Can I remove the access later?
Anytime. Remove the connector under Customize and Connectors in Claude and it's out of your chats. Your Vinkius account keeps the connection and its history either way, ready for the next AI.
More questions about Cloudbeds? The Connector page answers them. See everything the Cloudbeds Connector can do
About the Connector
What Cloudbeds adds to your AI.
Once you connect it, your AI gains 10 capabilities: the exact actions it can take in Cloudbeds 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 Cloudbeds Connector can do