Compatible with every major AI agent and IDE
What is the Siteminder MCP Server?
Connect your Siteminder account to any AI agent to streamline hotel distribution and reservation management through natural conversation.
What you can do
- Property Search — Find properties by location, radius, and dates using Channels Plus (
cp_search_properties) - Inventory & Rates — Access room types, rates, and quotes for specific properties (
db_get_room_types,db_get_room_rates) - Reservation Lifecycle — Lock, confirm, modify, and cancel bookings directly through the agent (
cp_lock_reservation,cp_confirm_reservation) - Booking History — Retrieve and list historical reservations associated with your account (
cp_list_reservations) - Direct Booking — List and inspect properties within your group using the Direct Booking API (
db_list_properties)
How it works
- Subscribe to this server
- Enter your Siteminder API ID, API Key, and SMX Token
- Start managing hospitality workflows from Claude, Cursor, or any MCP client
Who is this for?
- Travel Agencies — automate property searches and booking confirmations via AI
- Hotel Managers — monitor inventory and room rates without manual dashboard checks
- Developers — integrate hospitality data into custom workflows or AI assistants
Built-in capabilities (18)
Cancel an existing reservation
Finalize booking with guest and payment details
Get property details via Channels Plus API
Retrieve historical bookings via Channels Plus API
Create a 10-minute hold on inventory
Modify an existing reservation
Search properties via Channels Plus API
Get property details via Direct Booking API
Get pricing and availability for a specific stay
Get room rates for a property via Direct Booking API
Get room types for a property via Direct Booking API
List all properties in the group via Direct Booking API
Query inventory for a date range via SMX API
Query pricing for a date range via SMX API
List connected properties for a publisher via SMX API
List connected PMS providers via SMX API
List rate plans for a hotel via SMX API
List room types for a hotel via SMX API
Why CrewAI?
When paired with CrewAI, Siteminder becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Siteminder tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
- —
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
- —
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter and agents auto-discover every available tool at runtime - —
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
- —
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
Siteminder in CrewAI
Siteminder and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Siteminder to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Siteminder in CrewAI
The Siteminder 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. All 18 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Siteminder for CrewAI
Every tool call from CrewAI to the Siteminder MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I search for available hotels in a specific area?
Use the cp_search_properties tool by providing the latitude, longitude, and search radius. You can also include check-in and check-out dates to filter availability.
Can I hold a room before finalizing a booking?
Yes! The cp_lock_reservation tool creates a 10-minute hold on inventory for a specific property, allowing you to gather guest details before confirming.
How do I see all properties associated with my account?
You can use the db_list_properties tool to retrieve a full list of all properties in your group via the Direct Booking API.
How does CrewAI discover and connect to MCP tools?
CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
Can different agents in the same crew use different MCP servers?
Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
What happens when an MCP tool call fails during a crew run?
CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
Can CrewAI agents call multiple MCP tools in parallel?
CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
Can I run CrewAI crews on a schedule (cron)?
Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.
MCP tools not discovered
Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
Agent not using tools
Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
Timeout errors
CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
Rate limiting or 429 errors
Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.
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