Cloudbeds MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Cloudbeds through Vinkius and Cascade will auto-discover every tool. ask questions, generate code, and act on live data without leaving your editor.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Cloudbeds and 2,500+ MCP Servers from a single visual interface.




{
"mcpServers": {
"cloudbeds": {
"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 Cloudbeds MCP Server
Connect your Cloudbeds property to any AI agent and run your hotel from a single conversation.
Windsurf's Cascade agent chains multiple Cloudbeds tool calls autonomously. query data, analyze results, and generate code in a single agentic session. Paste Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
What you can do
- Reservations — Browse, filter by status, and drill into booking details
- Guests — Search profiles, view stay history and lifetime value
- Rooms & Housekeeping — Real-time room status and cleaning priorities
- Availability — Check open rooms for any date range instantly
- Transactions — Track charges, payments, and guest balances
- Dashboard — Today's KPIs: occupancy, revenue, ADR, check-ins/outs
The Cloudbeds MCP Server exposes 10 tools through the Vinkius. Connect it to Windsurf 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 Cloudbeds to Windsurf via MCP
Follow these steps to integrate the Cloudbeds MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Cloudbeds
Open Cascade and ask: "Using Cloudbeds, help me...". 10 tools available
Why Use Windsurf with the Cloudbeds MCP Server
Windsurf provides unique advantages when paired with Cloudbeds through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows. Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Cloudbeds + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Cloudbeds MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Cloudbeds and generate models, types, or handlers based on real API responses
Live debugging: query Cloudbeds tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Cloudbeds and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Cloudbeds data with Cascade's code generation to scaffold entire features in minutes
Cloudbeds MCP Tools for Windsurf (10)
These 10 tools become available when you connect Cloudbeds to Windsurf via MCP:
check_availability
Essential for booking inquiries and revenue management. Check room availability
get_dashboard
The GM's morning briefing. Get property dashboard
get_guest
Get guest profile
get_housekeeping
For housekeeping management. Get housekeeping status
get_reservation
Get reservation details
list_reservations
Filter by status: confirmed, checked_in, checked_out, cancelled. Core front-desk tool. List hotel reservations
list_room_types
With max occupancy, amenities, base rate, and room count. List room types
list_rooms
List hotel rooms
list_transactions
Filter by reservation to see a guest's complete financial history. List financial transactions
search_guests
Returns profile, contact, nationality, past stays, preferences, and lifetime value. Search hotel guests
Example Prompts for Cloudbeds in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Cloudbeds immediately.
"What's our occupancy and revenue for today?"
"List dirty rooms pending turnover for the afternoon layout."
"Find the ongoing reservation of Mr. Anderson."
Troubleshooting Cloudbeds MCP Server with Windsurf
Common issues when connecting Cloudbeds to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Cloudbeds + Windsurf FAQ
Common questions about integrating Cloudbeds MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Cloudbeds with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
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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 Cloudbeds to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
